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2024-04-12 16:34:44

QUESTION 1
You are a data engineer implementing a lambda architecture on Microsoft Azure. You use an open-source big data solution to collect, process, and maintain data. The analytical data store performs poorly. You must implement a solution that meets the following requirements:
Provide data warehousing
Reduce ongoing management activities
Deliver SQL query responses in less than one second
You need to create an HDInsight cluster to meet the requirements.
Which type of cluster should you create?

A. Interactive Query
B. Apache Hadoop
C. Apache HBase
D. Apache Spark

Correct Answer: D
Explanation:
Lambda Architecture with Azure:
Azure offers you a combination of following technologies to accelerate real-time big data analytics:
1. Azure Cosmos DB, a globally distributed and multi-model database service.
2. Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications.
3. Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process.
4. The Spark to Azure Cosmos DB Connector
Note: Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch processing and stream processing methods, and minimizing the latency involved in querying big
data.
References:
https://sqlwithmanoj.com/2018/02/16/what-is-lambda-architecture-and-what-azure-offers-with-its-new-cosmos-db/

QUESTION 2
You develop data engineering solutions for a company. You must migrate data from Microsoft Azure Blob storage to an Azure SQL Data Warehouse for further transformation. You need to implement the solution.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:
Correct Answer:

Step 1: Provision an Azure SQL Data Warehouse instance.
Create a data warehouse in the Azure portal.
Step 2: Connect to the Azure SQL Data warehouse by using SQL Server Management Studio
Connect to the data warehouse with SSMS (SQL Server Management Studio)
Step 3: Build external tables by using the SQL Server Management Studio Create
external tables for data in Azure blob storage.
You are ready to begin the process of loading data into your new data warehouse. You use external tables to load data from the Azure storage blob.
Step 4: Run Transact-SQL statements to load data.
You can use the CREATE TABLE AS SELECT (CTAS) T-SQL statement to load the data from Azure Storage Blob into new tables in your data warehouse.

References: https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/sql-data-warehouse/load-data-from-azure-blob-storage-using-polybase.md

QUESTION 3
You develop data engineering solutions for a company. The company has on-premises Microsoft SQL Server databases at multiple locations.
The company must integrate data with Microsoft Power BI and Microsoft Azure Logic Apps. The solution must avoid single points of failure during connection and transfer to the cloud. The solution must also minimize latency.
You need to secure the transfer of data between on-premises databases and Microsoft Azure.
What should you do?
A. Install a standalone on-premises Azure data gateway at each location
B. Install an on-premises data gateway in personal mode at each location
C. Install an Azure on-premises data gateway at the primary location
D. Install an Azure on-premises data gateway as a cluster at each location

Correct Answer: D
Explanation:

You can create high availability clusters of On-premises data gateway installations, to ensure your organization can access on-premises data resources used in Power BI reports and dashboards. Such clusters allow gateway administrators to
group gateways to avoid single points of failure in accessing on-premises data resources. The Power BI service always uses the primary gateway in the cluster, unless it’s not available. In that case, the service switches to the next gateway in the cluster, and so on.

References: https://docs.microsoft.com/en-us/power-bi/service-gateway-high-availability-clusters

QUESTION 4
You are a data architect. The data engineering team needs to configure a synchronization of data between an on-premises Microsoft SQL Server database to Azure SQL Database.
Ad-hoc and reporting queries are being overutilized the on-premises production instance. The synchronization process must:
Perform an initial data synchronization to Azure SQL Database with minimal downtime
Perform bi-directional data synchronization after initial synchronization
You need to implement this synchronization solution.

Which synchronization method should you use?

A. transactional replication
B. Data Migration Assistant (DMA)
C. backup and restore
D. SQL Server Agent jobE. Azure SQL Data Sync
E. SQL Data Sync

Correct Answer: E

Explanation:
SQL Data Sync is a service built on Azure SQL Database that lets you synchronize the data you select bi-directionally across multiple SQL databases and SQL Server instances.
With Data Sync, you can keep data synchronized between your on-premises databases and Azure SQL databases to enable hybrid applications.
Compare Data Sync with Transactional Replication
References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-sync-data

QUESTION 5

An application will use Microsoft Azure Cosmos DB as its data solution. The application will use the Cassandra API to support a column-based database type that uses containers to store items. You need to provision Azure Cosmos DB. Which container name and item name should you use? Each correct answer presents part of the solutions.
NOTE: Each correct answer selection is worth one point.
A. collection
B. rows
C. graph
D. entities
E. table
Correct Answer: BE
Explanation:
B: Depending on the choice of the API, an Azure Cosmos item can represent either a document in a collection, a row in a table or a node/edge in a graph. The following table shows the mapping between API-specific entities to an Azure
Cosmos item:
E: An Azure Cosmos container is specialized into API-specific entities as follows:
References: https://docs.microsoft.com/en-us/azure/cosmos-db/databases-containers-items

QUESTION 6 A company has a SaaS solution that uses Azure SQL Database with elastic pools. The solution contains a dedicated database for each customer organization. Customer organizations have peak usage at different periods during the year.
You need to implement the Azure SQL Database elastic pool to minimize cost.
Which option or options should you configure?

A. Number of transactions only
B. eDTUs per database only
C. Number of databases only
D. CPU usage only
E. eDTUs and max data size

Correct Answer: E
Explanation:

The best size for a pool depends on the aggregate resources needed for all databases in the pool. This involves determining the following:
Maximum resources utilized by all databases in the pool (either maximum DTUs or maximum vCores depending on your choice of resourcing model). Maximum
storage bytes utilized by all databases in the pool.

Note: Elastic pools enable the developer to purchase resources for a pool shared by multiple databases to accommodate unpredictable periods of usage by individual databases. You can configure resources for the pool based either on the
DTU-based purchasing model or the vCore-based purchasing model.

References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-pool

QUESTION 7
You are a data engineer. You are designing a Hadoop Distributed File System (HDFS) architecture. You plan to use Microsoft Azure Data Lake as a data storage repository.
You must provision the repository with a resilient data schema. You need to ensure the resiliency of the Azure Data Lake Storage. What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
Box 1: NameNode ---Box 2: DataNode---Box 3: DataNode
Explanation:
Box 1: NameNode
An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients.
Box 2: DataNode
The DataNodes are responsible for serving read and write requests from the file system’s clients.
Box 3: DataNode
The DataNodes perform block creation, deletion, and replication upon instruction from the NameNode.
Note: HDFS has a master/slave architecture. An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients. In addition, there are a number of DataNodes,
usually one per node in the cluster, which manage storage attached to the nodes that they run on. HDFS exposes a file system namespace and allows user data to be stored in files. Internally, a file is split into one or more blocks and these
blocks are stored in a set of DataNodes. The NameNode executes file system namespace operations like opening, closing, and renaming files and directories. It also determines the mapping of blocks to DataNodes. The DataNodes are
responsible for serving read and write requests from the file system’s clients. The DataNodes also perform block creation, deletion, and replication upon instruction from the NameNode.
References:
https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html#NameNode+and+DataNodes

QUESTION 8

DRAG DROP

You are developing the data platform for a global retail company. The company operates during normal working hours in each region. The analytical database is used once a week for building sales projections. Each region maintains its own private virtual network.
Building the sales projections is very resource intensive are generates upwards of 20 terabytes (TB) of data.
Microsoft Azure SQL Databases must be provisioned.
Database provisioning must maximize performance and minimize cost
The daily sales for each region must be stored in an Azure SQL Database instance
Once a day, the data for all regions must be loaded in an analytical Azure SQL Database instance
You need to provision Azure SQL database instances.
How should you provision the database instances? To answer, drag the appropriate Azure SQL products to the correct databases. Each Azure SQL product may be used once, more than once, or not at all. You may need to drag the split bar
between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:
Correct Answer:
Box 1: Azure SQL Database elastic pools
Box 2: Azure SQL Database Hyperscale

Explanation:
Box 1: Azure SQL Database elastic pools
SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that have varying and unpredictable usage demands. The databases in an elastic pool are on a single Azure SQL Database server
and share a set number of resources at a set price. Elastic pools in Azure SQL Database enable SaaS developers to optimize the price performance for a group of databases within a prescribed budget while delivering performance elasticity
for each database.

Box 2: Azure SQL Database Hyperscale
A Hyperscale database is an Azure SQL database in the Hyperscale service tier that is backed by the Hyperscale scale-out storage technology. A Hyperscale database supports up to 100 TB of data and provides high throughput and
performance, as well as rapid scaling to adapt to the workload requirements. Scaling is transparent to the application – connectivity, query processing, and so on, work like any other SQL database.

Incorrect Answers:
Azure SQL Database Managed Instance: The managed instance deployment model is designed for customers looking to migrate a large number of apps from on-premises or IaaS, self-built, or ISV provided environment to fully managed
PaaS cloud environment, with as low migration effort as possible.
References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-pool
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-service-tier-hyperscale-faq

QUESTION 9 A company manages several on-premises Microsoft SQL
Server databases.You need to migrate the databases to Microsoft Azure by using a backup and restore process.
Which data technology should you use?
A. Azure SQL Database single database
B. Azure SQL Data Warehouse
C. Azure Cosmos DB
D. Azure SQL Database Managed Instance

Correct Answer: D
Explanation:

Managed instance is a new deployment option of Azure SQL Database, providing near 100% compatibility with the latest SQL Server on-premises (Enterprise Edition) Database Engine, providing a native virtual network (VNet) implementation
that addresses common security concerns, and a business model favorable for on-premises SQL Server customers. The managed instance deployment model allows existing SQL Server customers to lift and shift their onpremises
applications to the cloud with minimal application and database changes.
References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-managed-
instance

QUESTION 10

The data engineering team manages Azure HDInsight clusters. The team spends a large amount of time creating and destroying clusters daily because most of the data pipeline process runs in minutes.
You need to implement a solution that deploys multiple HDInsight clusters with minimal effort.
What should you implement?
A. Azure Databricks
B. Azure Traffic Manager
C. Azure Resource Manager templates
D. Ambari web user interface

Correct Answer: C
Explanation:
A Resource Manager template makes it easy to create the following resources for your application in a single, coordinated operation:
HDInsight clusters and their dependent resources (such as the default storage account). Other resources (such as Azure SQL Database to use Apache Sqoop).
In the template, you define the resources that are needed for the application. You also specify deployment parameters to input values for different environments. The template consists of JSON and expressions that you use to construct values for your deployment.

References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-create-linux-clusters-arm-templates
QUESTION 11

You are the data engineer for your company. An application uses a NoSQL database to store data. The database uses the key-value and wide-column NoSQL database type.
Developers need to access data in the database using an API.
You need to determine which API to use for the database model and type.
Which two APIs should you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Table API
B. MongoDB API
C. Gremlin API
D. SQL API
E. Cassandra API

Correct Answer: BE
Explanation:

B: Azure Cosmos DB is the globally distributed, multimodel database service from Microsoft for mission-critical applications. It is a multimodel database and supports document, key-value, graph, and columnar data models.

E: Wide-column stores store data together as columns instead of rows and are optimized for queries over large datasets. The most popular are Cassandra and HBase.

References:

https://docs.microsoft.com/en-us/azure/cosmos-db/graph-introduction
https://www.mongodb.com/scale/types-of-nosql-databases

QUESTION 12

A company is designing a hybrid solution to synchronize data and on-premises Microsoft SQL Server database to Azure SQL Database.
You must perform an assessment of databases to determine whether data will move without compatibility issues. You need to perform the assessment.
Which tool should you use?

A. SQL Server Migration Assistant (SSMA)
B. Microsoft Assessment and Planning Toolkit
C. SQL Vulnerability Assessment (VA)
D. Azure SQL Data Sync
E. Data Migration Assistant (DMA)

Correct Answer: E
Explanation:

The Data Migration Assistant (DMA) helps you upgrade to a modern data platform by detecting compatibility issues that can impact database functionality in your new version of SQL Server or Azure SQL Database. DMA recommends
performance and reliability improvements for your target environment and allows you to move your schema, data, and uncontained objects from your source server to your target server.

References: https://docs.microsoft.com/en-us/sql/dma/dma-overview

QUESTION 13

DRAG DROP

You manage a financial computation data analysis process. Microsoft Azure virtual machines (VMs) run the process in daily jobs, and store the results in virtual hard drives (VHDs.) The
VMs product results using data from the previous day and store the results in a snapshot of the VHD. When a new month begins, a process creates a new VHD.

You must implement the following data retention requirements:

Daily results must be kept for 90 days

Data for the current year must be available for weekly reports Data
from the previous 10 years must be stored for auditing purposes

Data required for an audit must be produced within 10 days of a request.

You need to enforce the data retention requirements while minimizing cost.

How should you configure the lifecycle policy? To answer, drag the appropriate JSON segments to the correct locations. Each JSON segment may be used once, more than once, or not at all. You may need to drag the split bat between
panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Select and Place:

Correct Answer:

Explanation:

The Set-AzStorageAccountManagementPolicy cmdlet creates or modifies the management policy of an Azure Storage account.

Example: Create or update the management policy of a Storage account with ManagementPolicy rule objects.

Action -BaseBlobAction Delete -daysAfterModificationGreaterThan 100

PS C:\>$action1 = Add-AzStorageAccountManagementPolicyAction -InputObject $action1 -BaseBlobAction TierToArchive -daysAfterModificationGreaterThan 50

PS C:\>$action1 = Add-AzStorageAccountManagementPolicyAction -InputObject $action1 -BaseBlobAction TierToCool -daysAfterModificationGreaterThan 30 PS
C:\>$action1 = Add-AzStorageAccountManagementPolicyAction -InputObject $action1 -SnapshotAction Delete -daysAfterCreationGreaterThan 100

PS C:\>$filter1 = New-AzStorageAccountManagementPolicyFilter -PrefixMatch ab,cd

PS C:\>$rule1 = New-AzStorageAccountManagementPolicyRule -Name Test -Action $action1 -Filter $filter1

PS C:\>$action2 = Add-AzStorageAccountManagementPolicyAction -BaseBlobAction Delete -daysAfterModificationGreaterThan 100 PS
C:\>$filter2 = New-AzStorageAccountManagementPolicyFilter

References: https://docs.microsoft.com/en-us/powershell/module/az.storage/set-
azstorageaccountmanagementpolicy

QUESTION 14 A company plans to use Azure SQL Database to support a mission-
critical application.

The application must be highly available without performance degradation during maintenance windows.

You need to implement the solution.

Which three technologies should you implement? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A. Premium service tier
B. Virtual machine Scale Sets
C. Basic service tier
D. SQL Data Sync
E. Always On availability groups
F. Zone-redundant configuration

Correct Answer: AEF

Explanation

Explanation/Reference:

Explanation:

A: Premium/business critical service tier model that is based on a cluster of database engine processes. This architectural model relies on a fact that there is always a quorum of available database engine nodes and has minimal performance
impact on your workload even during maintenance activities.

E: In the premium model, Azure SQL database integrates compute and storage on the single node. High availability in this architectural model is achieved by replication of compute (SQL Server Database Engine process) and storage (locally
attached SSD) deployed in 4-node cluster, using technology similar to SQL Server Always On Availability Groups.

F: Zone redundant configuration

By default, the quorum-set replicas for the local storage configurations are created in the same datacenter. With the introduction of Azure Availability Zones, you have the ability to place the different replicas in the quorum-sets to different
availability zones in the same region. To eliminate a single point of failure, the control ring is also duplicated across multiple zones as three gateway rings (GW).

References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-high-
availability

QUESTION 15 A company plans to use Azure Storage for file storage purposes.
Compliance rules require:

A single storage account to store all operations including reads, writes and deletes
Retention of an on-premises copy of historical operations

You need to configure the storage account.

Which two actions should you perform? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A. Configure the storage account to log read, write and delete operations for service type Blob
B. Use the AzCopy tool to download log data from $logs/blob
C. Configure the storage account to log read, write and delete operations for service-type table

D. Use the storage client to download log data from $logs/table
E. Configure the storage account to log read, write and delete operations for service type queue

Correct Answer: AB

Explanation

Explanation/Reference:

Explanation:

Storage Logging logs request data in a set of blobs in a blob container named $logs in your storage account. This container does not show up if you list all the blob containers in your account but you can see its contents if you access it
directly.

To view and analyze your log data, you should download the blobs that contain the log data you are interested in to a local machine. Many storage-browsing tools enable you to download blobs from your storage account; you can also use the
Azure Storage team provided command-line Azure Copy Tool (AzCopy) to download your log data.

References:

https://docs.microsoft.com/en-us/rest/api/storageservices/enabling-storage-logging-and-accessing-log-data

Testlet 2

Background

Proseware, Inc, develops and manages a product named Poll Taker. The product is used for delivering public opinion polling and analysis.

Polling data comes from a variety of sources, including online surveys, house-to-house interviews, and booths at public events.

Polling data

Polling data is stored in one of the two locations:

An on-premises Microsoft SQL Server 2019 database named PollingData
Azure Data Lake Gen 2

Data in Data Lake is queried by using PolyBase
Poll metadata

Each poll has associated metadata with information about the poll including the date and number of respondents. The data is stored as JSON.

Phone-based polling

Security

Phone-based poll data must only be uploaded by authorized users from authorized devices

Contractors must not have access to any polling data other than their own

Access to polling data must set on a per-active directory user basis

Data migration and loading

All data migration processes must use Azure Data Factory

All data migrations must run automatically during non-business hours

Data migrations must be reliable and retry when needed

Performance After six months, raw polling data should be moved to a lower-cost
storage solution.

Deployments

All deployments must be performed by using Azure DevOps. Deployments must use templates used in multiple environments
No credentials or secrets should be used during deployments

Reliability

All services and processes must be resilient to a regional Azure outage.

Monitoring

All Azure services must be monitored by using Azure Monitor. On-premises SQL Server performance must be monitored.

QUESTION 1
DRAG DROP

You need to ensure that phone-based polling data can be analyzed in the PollingData database.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer are and arrange them in the correct order.

Select and Place:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Scenario:

All deployments must be performed by using Azure DevOps. Deployments must use templates used in multiple environments

No credentials or secrets should be used during deployments

Question Set 1

QUESTION 1

Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the stated goals.

You develop a data ingestion process that will import data to a Microsoft Azure SQL Data Warehouse. The data to be ingested resides in parquet files stored in an Azure Data Lake Gen 2 storage account.

You need to load the data from the Azure Data Lake Gen 2 storage account into the Azure SQL Data Warehouse.

Solution:

1. Use Azure Data Factory to convert the parquet files to CSV files
2. Create an external data source pointing to the Azure storage account
3. Create an external file format and external table using the external data source
4. Load the data using the INSERT…SELECT statement

Does the solution meet the goal?

A. Yes
B. No

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

There is no need to convert the parquet files to CSV files.

You load the data using the CREATE TABLE AS SELECT statement.

References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-
store

QUESTION 2

Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the stated goals.

You need to load the data from the Azure Data Lake Gen 2 storage account into the Azure SQL Data Warehouse.

Solution:

1. Create an external data source pointing to the Azure storage account
2. Create an external file format and external table using the external data source
3. Load the data using the INSERT…SELECT statement

Does the solution meet the goal?

A. Yes
B. No

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

You load the data using the CREATE TABLE AS SELECT statement.

References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-
store

QUESTION 3

Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the stated goals.

You need to load the data from the Azure Data Lake Gen 2 storage account into the Azure SQL Data Warehouse.

Solution:

1. Create an external data source pointing to the Azure storage account
2. Create a workload group using the Azure storage account name as the pool name
3. Load the data using the INSERT…SELECT statement

Does the solution meet the goal?

A. Yes
B. No

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

You need to create an external file format and external table using the external data source.

You then load the data using the CREATE TABLE AS SELECT statement.

References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-
store

QUESTION 4 You develop data engineering solutions
for a company.

You must integrate the company’s on-premises Microsoft SQL Server data with Microsoft Azure SQL Database. Data must be transformed incrementally.

You need to implement the data integration solution.

Which tool should you use to configure a pipeline to copy data?

A. Use the Copy Data tool with Blob storage linked service as the source
B. Use Azure PowerShell with SQL Server linked service as a source
C. Use Azure Data Factory UI with Blob storage linked service as a source
D. Use the .NET Data Factory API with Blob storage linked service as the source

Correct Answer: C

Explanation

Explanation/Reference:

Explanation:

The Integration Runtime is a customer managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.

A linked service defines the information needed for Azure Data Factory to connect to a data resource. We have three resources in this scenario for which linked services are needed: On-
premises SQL Server

Azure Blob Storage

Azure SQL database

Note: Azure Data Factory is a fully managed cloud-based data integration service that orchestrates and automates the movement and transformation of data. The key concept in the ADF model is pipeline. A pipeline is a logical grouping of
Activities, each of which defines the actions to perform on the data contained in Datasets. Linked services are used to define the information needed for Data Factory to connect to the data resources.

References: https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-azure-adf
QUESTION 5

HOTSPOT

A company runs Microsoft Dynamics CRM with Microsoft SQL Server on-premises. SQL Server Integration Services (SSIS) packages extract data from Dynamics CRM APIs, and load the data into a SQL Server data warehouse.

The datacenter is running out of capacity. Because of the network configuration, you must extract on premises data to the cloud over https. You cannot open any additional ports. The solution must implement the least amount of effort.

You need to create the pipeline system.

Which component should you use? To answer, select the appropriate technology in the dialog box in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Box 1: Source

For Copy activity, it requires source and sink linked services to define the direction of data flow.

Copying between a cloud data source and a data source in private network: if either source or sink linked service points to a self-hosted IR, the copy activity is executed on that self-hosted Integration Runtime.

Box 2: Self-hosted integration runtime

A self-hosted integration runtime can run copy activities between a cloud data store and a data store in a private network, and it can dispatch transform activities against compute resources in an on-premises network or an Azure virtual
network. The installation of a self-hosted integration runtime needs on an on-premises machine or a virtual machine (VM) inside a private network.

References: https://docs.microsoft.com/en-us/azure/data-factory/create-self-hosted-
integration-runtime

QUESTION 6
DRAG DROP

You develop data engineering solutions for a company.

A project requires analysis of real-time Twitter feeds. Posts that contain specific keywords must be stored and processed on Microsoft Azure and then displayed by using Microsoft Power BI. You need to implement the solution.

Which five actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Step 1: Create an HDInisght cluster with the Spark cluster type

Step 2: Create a Jyputer Notebook

Step 3: Create a table

The Jupyter Notebook that you created in the previous step includes code to create an hvac table.

Step 4: Run a job that uses the Spark Streaming API to ingest data from Twitter

Step 5: Load the hvac table into Power BI Desktop

You use Power BI to create visualizations, reports, and dashboards from the Spark cluster data.

References:

https://acadgild.com/blog/streaming-twitter-data-using-spark

https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-use-with-data-lake-
store

QUESTION 7
DRAG DROP

Your company manages on-premises Microsoft SQL Server pipelines by using a custom solution.

The data engineering team must implement a process to pull data from SQL Server and migrate it to Azure Blob storage. The process must orchestrate and manage the data lifecycle.

You need to configure Azure Data Factory to connect to the on-premises SQL Server database.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Step 1: Create a virtual private network (VPN) connection from on-premises to Microsoft Azure.

You can also use IPSec VPN or Azure ExpressRoute to further secure the communication channel between your on-premises network and Azure.

Azure Virtual Network is a logical representation of your network in the cloud. You can connect an on-premises network to your virtual network by setting up IPSec VPN (site-to-site) or ExpressRoute (private peering).

Step 2: Create an Azure Data Factory resource.

Step 3: Configure a self-hosted integration runtime.

You create a self-hosted integration runtime and associate it with an on-premises machine with the SQL Server database. The self-hosted integration runtime is the component that copies data from the SQL Server database on your machine
to Azure Blob storage.

Note: A self-hosted integration runtime can run copy activities between a cloud data store and a data store in a private network, and it can dispatch transform activities against compute resources in an on-premises network or an Azure virtual
network. The installation of a self-hosted integration runtime needs on an on-premises machine or a virtual machine (VM) inside a private network.

References: https://docs.microsoft.com/en-us/azure/data-factory/tutorial-hybrid-copy-
powershell

QUESTION 8
HOTSPOT

You are designing a new Lambda architecture on Microsoft Azure.

The real-time processing layer must meet the following requirements:

Ingestion:

Receive millions of events per second

Act as a fully managed Platform-as-a-Service (PaaS) solution
Integrate with Azure Functions

Stream processing:

Process on a per-job basis

Provide seamless connectivity with Azure services
Use a SQL-based query language

Analytical data store:

Act as a managed service

Use a document store

Provide data encryption at rest

You need to identify the correct technologies to build the Lambda architecture using minimal effort. Which technologies should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Box 1: Azure Event Hubs

This portion of a streaming architecture is often referred to as stream buffering. Options include Azure Event Hubs, Azure IoT Hub, and Kafka.

Incorrect Answers: Not HDInsight Kafka

Azure Functions need a trigger defined in order to run. There is a limited set of supported trigger types, and Kafka is not one of them.

Box 2: Azure Stream Analytics

Azure Stream Analytics provides a managed stream processing service based on perpetually running SQL queries that operate on unbounded streams. You
can also use open source Apache streaming technologies like Storm and Spark Streaming in an HDInsight cluster.

Box 3: Azure SQL Data Warehouse

Azure SQL Data Warehouse provides a managed service for large-scale, cloud-based data warehousing. HDInsight supports Interactive Hive, HBase, and Spark SQL, which can also be used to serve data for analysis.

References: https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-
data/

QUESTION 9 You develop data engineering solutions
for a company.

You need to ingest and visualize real-time Twitter data by using Microsoft Azure.

Which three technologies should you use? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A. Event Grid topic

B. Azure Stream Analytics Job that queries Twitter data from an Event Hub
C. Azure Stream Analytics Job that queries Twitter data from an Event Grid
D. Logic App that sends Twitter posts which have target keywords to Azure
E. Event Grid subscription
F. Event Hub instance

Correct Answer: BDF

Explanation

Explanation/Reference:

Explanation:

You can use Azure Logic apps to send tweets to an event hub and then use a Stream Analytics job to read from event hub and send them to PowerBI.

References: https://community.powerbi.com/t5/Integrations-with-Files-and/Twitter-streaming-analytics-step-by-step/td-p/9594

QUESTION 10

Each day, company plans to store hundreds of files in Azure Blob Storage and Azure Data Lake Storage. The company uses the parquet format.

You must develop a pipeline that meets the following requirements:

Process data every six hours

Offer interactive data analysis capabilities

Offer the ability to process data using solid-state drive (SSD) caching

Use Directed Acyclic Graph(DAG) processing mechanisms

Provide support for REST API calls to monitor processes

Provide native support for Python
Integrate with Microsoft Power BI

You need to select the appropriate data technology to implement the pipeline.

Which data technology should you implement?

A. Azure SQL Data Warehouse
B. HDInsight Apache Storm cluster
C. Azure Stream Analytics
D. HDInsight Apache Hadoop cluster using MapReduce
E. HDInsight Spark cluster

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

Storm runs topologies instead of the Apache Hadoop MapReduce jobs that you might be familiar with. Storm topologies are composed of multiple components that are arranged in a directed acyclic graph (DAG). Data flows between the
components in the graph. Each component consumes one or more data streams, and can optionally emit one or more streams.

Python can be used to develop Storm components.

References: https://docs.microsoft.com/en-us/azure/hdinsight/storm/apache-storm-overview

QUESTION 11
HOTSPOT

A company is deploying a service-based data environment. You are developing a solution to process this data.

The solution must meet the following requirements:

Use an Azure HDInsight cluster for data ingestion from a relational database in a different cloud service

Use an Azure Data Lake Storage account to store processed data
Allow users to download processed data

You need to recommend technologies for the solution.

Which technologies should you use? To answer, select the appropriate options in the answer area.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Box 1: Apache Sqoop

Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.

Azure HDInsight is a cloud distribution of the Hadoop components from the Hortonworks Data Platform (HDP).

Incorrect Answers:

DistCp (distributed copy) is a tool used for large inter/intra-cluster copying. It uses MapReduce to effect its distribution, error handling and recovery, and reporting. It expands a list of files and directories into input to map tasks, each of which
will copy a partition of the files specified in the source list. Its MapReduce pedigree has endowed it with some quirks in both its semantics and execution.

RevoScaleR is a collection of proprietary functions in Machine Learning Server used for practicing data science at scale. For data scientists, RevoScaleR gives you data-related functions for import, transformation and manipulation,
summarization, visualization, and analysis.

Box 2: Apache Kafka

Apache Kafka is a distributed streaming platform.

A streaming platform has three key capabilities:

Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system.
Store streams of records in a fault-tolerant durable way. Process streams of records as they occur.

Kafka is generally used for two broad classes of applications:

Building real-time streaming data pipelines that reliably get data between systems or applications Building
real-time streaming applications that transform or react to the streams of data

Box 3: Ambari Hive View

You can run Hive queries by using Apache Ambari Hive View. The Hive View allows you to author, optimize, and run Hive queries from your web browser.

References: https://sqoop.apache.org/ https://kafka.apache.org/intro
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-use-hive-ambari-view

QUESTION 12 A company uses Azure SQL Database to store sales transaction data. Field sales employees need an offline copy of the database that includes last year’s sales on their laptops when there is no internet
connection available.

You need to create the offline export copy.

Which three options can you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A. Export to a BACPAC file by using Azure Cloud Shell, and save the file to an Azure storage account
B. Export to a BACPAC file by using SQL Server Management Studio. Save the file to an Azure storage accountC. Export to a BACPAC file by using the Azure portal
D. Export to a BACPAC file by using Azure PowerShell and save the file locally
E. Export to a BACPAC file by using the SqlPackage utility

Correct Answer: BCE

Explanation

Explanation/Reference:

Explanation:

You can export to a BACPAC file using the Azure portal.

You can export to a BACPAC file using SQL Server Management Studio (SSMS). The newest versions of SQL Server Management Studio provide a wizard to export an Azure SQL database to a BACPAC file. You
can export to a BACPAC file using the SQLPackage utility.

Incorrect Answers:

D: You can export to a BACPAC file using PowerShell. Use the New-AzSqlDatabaseExport cmdlet to submit an export database request to the Azure SQL Database service. Depending on the size of your database, the export operation may
take some time to complete. However, the file is not stored locally.

References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-
export

Testlet 2

Background Proseware, Inc, develops and manages a product named Poll Taker. The product is used for delivering public opinion polling
and analysis.

Polling data comes from a variety of sources, including online surveys, house-to-house interviews, and booths at public events.

Polling data

Polling data is stored in one of the two locations:

An on-premises Microsoft SQL Server 2019 database named PollingData
Azure Data Lake Gen 2

Data in Data Lake is queried by using PolyBase

Poll metadata

Each poll has associated metadata with information about the poll including the date and number of respondents. The data is stored as JSON.

Phone-based polling

Security

Phone-based poll data must only be uploaded by authorized users from authorized devices

Contractors must not have access to any polling data other than their own

Access to polling data must set on a per-active directory user basis

Data migration and loading

All data migration processes must use Azure Data Factory

All data migrations must run automatically during non-business hours

Data migrations must be reliable and retry when needed

Performance After six months, raw polling data should be moved to a lower-cost
storage solution.

Deployments

All deployments must be performed by using Azure DevOps. Deployments must use templates used in multiple environments
No credentials or secrets should be used during deployments

Reliability

All services and processes must be resilient to a regional Azure outage.

Monitoring

All Azure services must be monitored by using Azure Monitor. On-premises SQL Server performance must be monitored.

QUESTION 1 You need to ensure that phone-based poling data can be analyzed in the
PollingData database.

How should you configure Azure Data Factory?

A. Use a tumbling schedule trigger
B. Use an event-based trigger
C. Use a schedule triggerD. Use manual execution

Correct Answer: C

Explanation

Explanation/Reference:

Explanation:

When creating a schedule trigger, you specify a schedule (start date, recurrence, end date etc.) for the trigger, and associate with a Data Factory pipeline.

Scenario:

All data migration processes must use Azure Data Factory

All data migrations must run automatically during non-business hours

References: https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-schedule-
trigger

QUESTION 2

HOTSPOT

You need to ensure that Azure Data Factory pipelines can be deployed. How should you configure authentication and authorization for deployments? To answer, select the appropriate options in the answer choices.

NOTE: Each correct selection is worth one point.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

The way you control access to resources using RBAC is to create role assignments. This is a key concept to understand – it’s how permissions are enforced. A role assignment consists of three elements: security principal, role definition, and
scope.

Scenario:

No credentials or secrets should be used during deployments

Phone-based poll data must only be uploaded by authorized users from authorized devices

Contractors must not have access to any polling data other than their own
Access to polling data must set on a per-active directory user basis

References: https://docs.microsoft.com/en-us/azure/role-based-access-
control/overview Testlet 3

Overview

Current environment

Contoso relies on an extensive partner network for marketing, sales, and distribution. Contoso uses external companies that manufacture everything from the actual pharmaceutical to the packaging.

The majority of the company’s data reside in Microsoft SQL Server database. Application databases fall into one of the following tiers:

The company has a reporting infrastructure that ingests data from local databases and partner services. Partners services consists of distributors, wholesales, and retailers across the world. The company performs daily, weekly, and monthly
reporting.

Requirements

Tier 3 and Tier 6 through Tier 8 application must use database density on the same server and Elastic pools in a cost-effective manner.

Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.

A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of server going offline.

Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.

Tier 1 internal applications on the premium P2 tier

Tier 2 internal applications on the standard S4 tier

The solution must support migrating databases that support external and internal application to Azure SQL Database. The migrated databases will be supported by Azure Data Factory pipelines for the continued movement, migration and
updating of data both in the cloud and from local core business systems and repositories.

Tier 7 and Tier 8 partner access must be restricted to the database only.

In addition to default Azure backup behavior, Tier 4 and 5 databases must be on a backup strategy that performs a transaction log backup eve hour, a differential backup of databases every day and a full back up every week.

Back up strategies must be put in place for all other standalone Azure SQL Databases using Azure SQL-provided backup storage and capabilities.

Databases Contoso requires their data estate to be designed and implemented in the Azure Cloud. Moving to the cloud must not inhibit access to or
availability of data.

Databases:

Tier 1 Database must implement data masking using the following masking logic:

Tier 2 databases must sync between branches and cloud databases and in the event of conflicts must be set up for conflicts to be won by on-premises databases.

Tier 3 and Tier 6 through Tier 8 applications must use database density on the same server and Elastic pools in a cost-effective manner.

Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.

A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of a server going offline.

Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.

Tier 1 internal applications on the premium P2 tier

Tier 2 internal applications on the standard S4 tier

Reporting

Security and monitoring

Security

A method of managing multiple databases in the cloud at the same time is must be implemented to streamlining data management and limiting management access to only those requiring access.

Monitoring

Monitoring must be set up on every database. Contoso and partners must receive performance reports as part of contractual agreements.

Tiers 6 through 8 must have unexpected resource storage usage immediately reported to data engineers.

The Azure SQL Data Warehouse cache must be monitored when the database is being used. A dashboard monitoring key performance indicators (KPIs) indicated by traffic lights must be created and displayed based on the following metrics:

Existing Data Protection and Security compliances require that all certificates and keys are internally managed in an on-premises storage.

You identify the following reporting requirements:

Azure Data Warehouse must be used to gather and query data from multiple internal and external databases

Azure Data Warehouse must be optimized to use data from a cache

Reporting data aggregated for external partners must be stored in Azure Storage and be made available during regular business hours in the connecting regions

Reporting strategies must be improved to real time or near real time reporting cadence to improve competitiveness and the general supply chain
Tier 9 reporting must be moved to Event Hubs, queried, and persisted in the same Azure region as the company’s main office Tier 10 reporting
data must be stored in Azure Blobs

Issues

Team members identify the following issues:

External partner organization data formats, types and schemas are controlled by the partner companies

Internal and external database development staff resources are primarily SQL developers familiar with the Transact-SQL language.

Size and amount of data has led to applications and reporting solutions not performing are required speeds
Tier 7 and 8 data access is constrained to single endpoints managed by partners for access

The company maintains several legacy client applications. Data for these applications remains isolated form other applications. This has led to hundreds of databases being provisioned on a per application basis

QUESTION 1 You need to process and query
ingested Tier 9 data.

Which two options should you use? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A. Azure Notification Hub

B. Transact-SQL statementsC. Azure Cache for Redis
D. Apache Kafka statements
E. Azure Event Grid
F. Azure Stream Analytics

Correct Answer: EF

Explanation

Explanation/Reference:

Explanation:

Event Hubs provides a Kafka endpoint that can be used by your existing Kafka based applications as an alternative to running your own Kafka cluster.

You can stream data into Kafka-enabled Event Hubs and process it with Azure Stream Analytics, in the following steps:

Create a Kafka enabled Event Hubs namespace.

Create a Kafka client that sends messages to the event hub.

Create a Stream Analytics job that copies data from the event hub into an Azure blob storage.

Scenario:

Tier 9 reporting must be moved to Event Hubs, queried, and persisted in the same Azure region as the company’s main office

References: https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-kafka-stream-
analytics

QUESTION 2
HOTSPOT

You need set up the Azure Data Factory JSON definition for Tier 10 data.

What should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Box 1: Connection String

To use storage account key authentication, you use the ConnectionString property, which xpecify the information needed to connect to Blobl Storage.

Mark this field as a SecureString to store it securely in Data Factory. You can also put account key in Azure Key Vault and pull the accountKey configuration out of the connection string.

Box 2: Azure Blob

Tier 10 reporting data must be stored in Azure Blobs

References: https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-blob-
storage

QUESTION 3 You need to set up Azure Data Factory pipelines to meet data movement
requirements.

Which integration runtime should you use?

A. self-hosted integration runtime
B. Azure-SSIS Integration Runtime
C. .NET Common Language Runtime (CLR)
D. Azure integration runtime

Correct Answer: A

Explanation

Explanation/Reference:

Explanation:

The following table describes the capabilities and network support for each of the integration runtime types:

Scenario: The solution must support migrating databases that support external and internal application to Azure SQL Database. The migrated databases will be supported by Azure Data Factory pipelines for the continued movement,
migration and updating of data both in the cloud and from local core business systems and repositories.

References:

https://docs.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime

Question Set 1

QUESTION 1

DRAG DROP

You manage the Microsoft Azure Databricks environment for a company. You must be able to access a private Azure Blob Storage account. Data must be available to all Azure Databricks workspaces. You need to provide the data access.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Step 1: Create a secret scope

Step 2: Add secrets to the scope

Note: dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>") gets the key that has been stored as a secret in a secret scope.

Step 3: Mount the Azure Blob Storage container

You can mount a Blob Storage container or a folder inside a container through Databricks File System - DBFS. The mount is a pointer to a Blob Storage container, so the data is never synced locally.

Note: To mount a Blob Storage container or a folder inside a container, use the following command:

Python
dbutils.fs.mount(

source = "wasbs://<your-container-name>@<your-storage-account-name>.blob.core.windows.net",
mount_point = "/mnt/<mount-name>", extra_configs = {"<conf-key>":dbutils.secrets.get(scope =
"<scope-name>", key = "<key-name>")})

where: dbutils.secrets.get(scope = "<scope-name>", key = "<key-name>") gets the key that has been stored as a secret in a secret
scope.

References: https://docs.databricks.com/spark/latest/data-sources/azure/azure-
storage.html

QUESTION 2
DRAG DROP

A company uses Microsoft Azure SQL Database to store sensitive company data. You encrypt the data and only allow access to specified users from specified locations.

You must monitor data usage, and data copied from the system to prevent data leakage.

You need to configure Azure SQL Database to email a specific user when data leakage occurs.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Step 1: Enable advanced threat protection

Set up threat detection for your database in the Azure portal
1. Launch the Azure portal at https://portal.azure.com.

2. Navigate to the configuration page of the Azure SQL Database server you want to protect. In the security settings, select Advanced Data Security.
3. On the Advanced Data Security configuration page:

Enable advanced data security on the server.

In Threat Detection Settings, in the Send alerts to text box, provide the list of emails to receive security alerts upon detection of anomalous database activities.

Step 2: Configure the service to send email alerts to security@contoso.team

Step 3:..of type data exfiltration

The benefits of Advanced Threat Protection for Azure Storage include: Detection
of anomalous access and data exfiltration activities.

Security alerts are triggered when anomalies in activity occur: access from an unusual location, anonymous access, access by an unusual application, data exfiltration, unexpected delete operations, access permission change, and so on.

Admins can view these alerts via Azure Security Center and can also choose to be notified of each of them via email.

References:

https://docs.microsoft.com/en-us/azure/sql-database/sql-database-threat-detection
https://www.helpnetsecurity.com/2019/04/04/microsoft-azure-security/

QUESTION 3
HOTSPOT

You develop data engineering solutions for a company. An application creates a database on Microsoft Azure. You have the following code:

Which database and authorization types are used? To answer, select the appropriate option in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Box 1: Azure Cosmos DB

The DocumentClient.CreateDatabaseAsync(Database, RequestOptions) method creates a database resource as an asychronous operation in the Azure Cosmos DB service.

Box 2: Master Key

Azure Cosmos DB uses two types of keys to authenticate users and provide access to its data and resources: Master Key, Resource Tokens

Master keys provide access to the all the administrative resources for the database account. Master keys:

Provide access to accounts, databases, users, and permissions.

Cannot be used to provide granular access to containers and documents.

Are created during the creation of an account.
Can be regenerated at any time.

Incorrect Answers:

Resource Token: Resource tokens provide access to the application resources within a database.

References:

https://docs.microsoft.com/en-us/dotnet/api/microsoft.azure.documents.client.documentclient.createdatabaseasync https://docs.microsoft.com/en-us/azure/cosmos-db/secure-access-to-data

QUESTION 4

You plan to use Microsoft Azure SQL Database instances with strict user access control. A user object must:

Move with the database if it is run elsewhere
Be able to create additional users

You need to create the user object with correct permissions.

Which two Transact-SQL commands should you run? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A. ALTER LOGIN Mary WITH PASSWORD = 'strong_password';
B. CREATE LOGIN Mary WITH PASSWORD = 'strong_password';
C. ALTER ROLE db_owner ADD MEMBER Mary;
D. CREATE USER Mary WITH PASSWORD = 'strong_password';
E. GRANT ALTER ANY USER TO Mary;

Correct Answer: CD

Explanation

Explanation/Reference:

Explanation:

C: ALTER ROLE adds or removes members to or from a database role, or changes the name of a user-defined database role.

Members of the db_owner fixed database role can perform all configuration and maintenance activities on the database, and can also drop the database in SQL Server.

D: CREATE USER adds a user to the current database.

Note: Logins are created at the server level, while users are created at the database level. In other words, a login allows you to connect to the SQL Server service (also called an instance), and permissions inside the database are granted to
the database users, not the logins. The logins will be assigned to server roles (for example, serveradmin) and the database users will be assigned to roles within that database (eg. db_datareader, db_bckupoperator).

References: https://docs.microsoft.com/en-us/sql/t-sql/statements/alter-role-transact-
sql https://docs.microsoft.com/en-us/sql/t-sql/statements/create-user-transact-sql

QUESTION 5
DRAG DROP

You manage security for a database that supports a line of business application.

Private and personal data stored in the database must be protected and encrypted.

You need to configure the database to use Transparent Data Encryption (TDE).

Which five actions should you perform in sequence? To answer, select the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Step 1: Create a master key

Step 2: Create or obtain a certificate protected by the master key

Step 3: Set the context to the company database

Step 4: Create a database encryption key and protect it by the certificate

Step 5: Set the database to use encryption

Example code:

USE master;

CREATE MASTER KEY ENCRYPTION BY PASSWORD = '<UseStrongPasswordHere>'; go

CREATE CERTIFICATE MyServerCert WITH SUBJECT = 'My DEK Certificate'; go

USE AdventureWorks2012;

CREATE DATABASE ENCRYPTION KEY

WITH ALGORITHM = AES_128

ENCRYPTION BY SERVER CERTIFICATE MyServerCert;

ALTER DATABASE AdventureWorks2012

SET ENCRYPTION ON;
GO

References: https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/transparent-data-
encryption

QUESTION 6
DRAG DROP

You plan to create a new single database instance of Microsoft Azure SQL Database.

The database must only allow communication from the data engineer’s workstation. You must connect directly to the instance by using Microsoft SQL Server Management Studio.

You need to create and configure the Database. Which three Azure PowerShell cmdlets should you use to develop the solution? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the
correct order.

Select and Place:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Step 1: New-AzureSqlServer
Create a server.

Step 2: New-AzureRmSqlServerFirewallRule

New-AzureRmSqlServerFirewallRule creates a firewall rule for a SQL Database server.

Can be used to create a server firewall rule that allows access from the specified IP range.

Step 3: New-AzureRmSqlDatabase

Example: Create a database on a specified server

PS C:\>New-AzureRmSqlDatabase -ResourceGroupName "ResourceGroup01" -ServerName "Server01" -DatabaseName "Database01

References: https://docs.microsoft.com/en-us/azure/sql-database/scripts/sql-database-create-and-configure-database-
powershell?toc=%2fpowershell%2fmodule%2ftoc.json

Testlet 2

Background Proseware, Inc, develops and manages a product named Poll Taker. The product is used for delivering public opinion polling
and analysis.

Polling data comes from a variety of sources, including online surveys, house-to-house interviews, and booths at public events.

Polling data

Polling data is stored in one of the two locations:

An on-premises Microsoft SQL Server 2019 database named PollingData
Azure Data Lake Gen 2

Data in Data Lake is queried by using PolyBase

Poll metadata

Each poll has associated metadata with information about the poll including the date and number of respondents. The data is stored as JSON.

Phone-based polling

Security

Phone-based poll data must only be uploaded by authorized users from authorized devices

Contractors must not have access to any polling data other than their own

Access to polling data must set on a per-active directory user basis

Data migration and loading

All data migration processes must use Azure Data Factory

All data migrations must run automatically during non-business hours

Data migrations must be reliable and retry when needed

Performance After six months, raw polling data should be moved to a lower-cost
storage solution.

Deployments

All deployments must be performed by using Azure DevOps. Deployments must use templates used in multiple environments
No credentials or secrets should be used during deployments

Reliability

All services and processes must be resilient to a regional Azure outage.

Monitoring

All Azure services must be monitored by using Azure Monitor. On-premises SQL Server performance must be monitored.

QUESTION 1
HOTSPOT

You need to ensure polling data security requirements are met.

Which security technologies should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Box 1: Azure Active Directory user
Scenario:

Access to polling data must set on a per-active directory user basis

Box 2: DataBase Scoped Credential

SQL Server uses a database scoped credential to access non-public Azure blob storage or Kerberos-secured Hadoop clusters with PolyBase.

PolyBase cannot authenticate by using Azure AD authentication.

References:

https://docs.microsoft.com/en-us/sql/t-sql/statements/create-database-scoped-credential-transact-sql

Testlet 3

Overview

Current environment

Contoso relies on an extensive partner network for marketing, sales, and distribution. Contoso uses external companies that manufacture everything from the actual pharmaceutical to the packaging.

The majority of the company’s data reside in Microsoft SQL Server database. Application databases fall into one of the following tiers:

Requirements

Tier 3 and Tier 6 through Tier 8 application must use database density on the same server and Elastic pools in a cost-effective manner.

Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.

A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of server going offline.

Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.

Tier 1 internal applications on the premium P2 tier

Tier 2 internal applications on the standard S4 tier

Tier 7 and Tier 8 partner access must be restricted to the database only.

Back up strategies must be put in place for all other standalone Azure SQL Databases using Azure SQL-provided backup storage and capabilities.

Databases Contoso requires their data estate to be designed and implemented in the Azure Cloud. Moving to the cloud must not inhibit access to or
availability of data.

Databases:

Tier 1 Database must implement data masking using the following masking logic:

Tier 2 databases must sync between branches and cloud databases and in the event of conflicts must be set up for conflicts to be won by on-premises databases.

Tier 3 and Tier 6 through Tier 8 applications must use database density on the same server and Elastic pools in a cost-effective manner.

Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.

A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of a server going offline.

Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.

Tier 1 internal applications on the premium P2 tier

Tier 2 internal applications on the standard S4 tier

Reporting

Security and monitoring

Security

A method of managing multiple databases in the cloud at the same time is must be implemented to streamlining data management and limiting management access to only those requiring access.

Monitoring

Monitoring must be set up on every database. Contoso and partners must receive performance reports as part of contractual agreements.

Tiers 6 through 8 must have unexpected resource storage usage immediately reported to data engineers.

Existing Data Protection and Security compliances require that all certificates and keys are internally managed in an on-premises storage.

You identify the following reporting requirements:

Azure Data Warehouse must be used to gather and query data from multiple internal and external databases

Azure Data Warehouse must be optimized to use data from a cache

Reporting data aggregated for external partners must be stored in Azure Storage and be made available during regular business hours in the connecting regions

Issues

Team members identify the following issues:

Both internal and external client application run complex joins, equality searches and group-by clauses. Because some systems are managed externally, the queries will not be changed or optimized by Contoso
External partner organization data formats, types and schemas are controlled by the partner companies

Internal and external database development staff resources are primarily SQL developers familiar with the Transact-SQL language.

Size and amount of data has led to applications and reporting solutions not performing are required speeds

Tier 7 and 8 data access is constrained to single endpoints managed by partners for access

QUESTION 1

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some questions sets might have more than one
correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You need to configure data encryption for external applications.

Solution:

1. Access the Always Encrypted Wizard in SQL Server Management Studio
2. Select the column to be encrypted
3. Set the encryption type to Randomized
4. Configure the master key to use the Windows Certificate Store
5. Validate configuration results and deploy the solution

Does the solution meet the goal?

A. Yes
B. No

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

Use the Azure Key Vault, not the Windows Certificate Store, to store the master key.

Note: The Master Key Configuration page is where you set up your CMK (Column Master Key) and select the key store provider where the CMK will be stored. Currently, you can store a CMK in the Windows certificate store, Azure Key Vault,
or a hardware security module (HSM).

References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-always-encrypted-azure-key-
vault

QUESTION 2

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You need to configure data encryption for external applications.

Solution:

1. Access the Always Encrypted Wizard in SQL Server Management Studio
2. Select the column to be encrypted
3. Set the encryption type to Deterministic
4. Configure the master key to use the Windows Certificate Store
5. Validate configuration results and deploy the solution

Does the solution meet the goal?

A. Yes
B. No

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

Use the Azure Key Vault, not the Windows Certificate Store, to store the master key.

References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-always-encrypted-azure-key-
vault

QUESTION 3

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You need to configure data encryption for external applications.

Solution:

5. Validate configuration results and deploy the solution

Does the solution meet the goal?

A. Yes
B. No

Correct Answer: A

Explanation

Explanation/Reference:

Explanation:

We use the Azure Key Vault, not the Windows Certificate Store, to store the master key.

References: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-always-encrypted-azure-key-
vault

QUESTION 4
HOTSPOT

You need to mask tier 1 data. Which functions should you use? To answer, select the appropriate option in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

A: Default

Full masking according to the data types of the designated fields.

For string data types, use XXXX or fewer Xs if the size of the field is less than 4 characters (char, nchar, varchar, nvarchar, text, ntext).

B: email

C: Custom text

Custom StringMasking method which exposes the first and last letters and adds a custom padding string in the middle. prefix,[padding],suffix

Tier 1 Database must implement data masking using the following masking logic:

References: https://docs.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-
masking

QUESTION 5
DRAG DROP

You need to set up access to Azure SQL Database for Tier 7 and Tier 8 partners.

Which three actions should you perform in sequence? To answer, move the appropriate three actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Tier 7 and 8 data access is constrained to single endpoints managed by partners for access

Step 1: Set the Allow Azure Services to Access Server setting to Disabled

Set Allow access to Azure services to OFF for the most secure configuration.

By default, access through the SQL Database firewall is enabled for all Azure services, under Allow access to Azure services. Choose OFF to disable access for all Azure services.

Note: The firewall pane has an ON/OFF button that is labeled Allow access to Azure services. The ON setting allows communications from all Azure IP addresses and all Azure subnets. These Azure IPs or subnets might not be owned by
you. This ON setting is probably more open than you want your SQL Database to be. The virtual network rule feature offers much finer granular control.

Step 2: In the Azure portal, create a server firewall rule

Set up SQL Database server firewall rules

Server-level IP firewall rules apply to all databases within the same SQL Database server.

To set up a server-level firewall rule:

1. In Azure portal, select SQL databases from the left-hand menu, and select your database on the SQL databases page.
2. On the Overview page, select Set server firewall. The Firewall settings page for the database server opens.

Step 3: Connect to the database and use Transact-SQL to create a database firewall rule

Database-level firewall rules can only be configured using Transact-SQL (T-SQL) statements, and only after you've configured a server-level firewall rule.

To setup a database-level firewall rule:

1. Connect to the database, for example using SQL Server Management Studio.
2. In Object Explorer, right-click the database and select New Query.
3. In the query window, add this statement and modify the IP address to your public IP address: EXECUTE sp_set_database_firewall_rule N'Example DB Rule','0.0.0.4','0.0.0.4'; On the toolbar, select Execute to create the firewall rule.

References:

https://docs.microsoft.com/en-us/azure/sql-database/sql-database-security-tutorial

Question Set 1

QUESTION 1

Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the stated goals.

You develop data engineering solutions for a company.

A project requires the deployment of resources to Microsoft Azure for batch data processing on Azure HDInsight. Batch processing will run daily and must:

Scale to minimize costs

Be monitored for cluster performance

You need to recommend a tool that will monitor clusters and provide information to suggest how to scale.

Solution: Monitor cluster load using the Ambari Web UI.

Does the solution meet the goal?

A. Yes
B. No

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

Ambari Web UI does not provide information to suggest how to scale.

Instead monitor clusters by using Azure Log Analytics and HDInsight cluster management solutions.

References:

https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-oms-log-analytics-tutorial
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-manage-ambari

QUESTION 2 Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the
stated goals.

You develop data engineering solutions for a company.

A project requires the deployment of resources to Microsoft Azure for batch data processing on Azure HDInsight. Batch processing will run daily and must:

Scale to minimize costs

Be monitored for cluster performance

You need to recommend a tool that will monitor clusters and provide information to suggest how to scale.

Solution: Monitor clusters by using Azure Log Analytics and HDInsight cluster management solutions.

Does the solution meet the goal?

A. Yes
B. No

Correct Answer: A

Explanation

Explanation/Reference:

Explanation:

HDInsight provides cluster-specific management solutions that you can add for Azure Monitor logs. Management solutions add functionality to Azure Monitor logs, providing additional data and analysis tools. These solutions collect important
performance metrics from your HDInsight clusters and provide the tools to search the metrics. These solutions also provide visualizations and dashboards for most cluster types supported in HDInsight. By using the metrics that you collect with
the solution, you can create custom monitoring rules and alerts.

References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-oms-log-
analytics-tutorial

QUESTION 3 Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the
stated goals.

You develop data engineering solutions for a company.

A project requires the deployment of resources to Microsoft Azure for batch data processing on Azure HDInsight. Batch processing will run daily and must:

Scale to minimize costs

Be monitored for cluster performance

You need to recommend a tool that will monitor clusters and provide information to suggest how to scale.

Solution: Download Azure HDInsight cluster logs by using Azure PowerShell.

Does the solution meet the goal?

A. Yes
B. No

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

Instead monitor clusters by using Azure Log Analytics and HDInsight cluster management solutions.

References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-oms-log-
analytics-tutorial

QUESTION 4
HOTSPOT

A company is planning to use Microsoft Azure Cosmos DB as the data store for an application. You have the following Azure CLI command: az
cosmosdb create -–name "cosmosdbdev1" –-resource-group "rgdev"

You need to minimize latency and expose the SQL API. How should you complete the command? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Box 1: Eventual

With Azure Cosmos DB, developers can choose from five well-defined consistency models on the consistency spectrum. From strongest to more relaxed, the models include strong, bounded staleness, session, consistent prefix, and eventual
consistency.

The following image shows the different consistency levels as a spectrum.

Box 2: GlobalDocumentDB

Select Core(SQL) to create a document database and query by using SQL syntax.

Note: The API determines the type of account to create. Azure Cosmos DB provides five APIs: Core(SQL) and MongoDB for document databases, Gremlin for graph databases, Azure Table, and Cassandra.

References: https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-
levels https://docs.microsoft.com/en-us/azure/cosmos-db/create-sql-api-dotnet

QUESTION 5

A company has a Microsoft Azure HDInsight solution that uses different cluster types to process and analyze data. Operations are continuous.

Reports indicate slowdowns during a specific time window.

You need to determine a monitoring solution to track down the issue in the least amount of time.

What should you use?

A. Azure Log Analytics log search query
B. Ambari REST API
C. Azure Monitor Metrics
D. HDInsight .NET SDK
E. Azure Log Analytics alert rule query

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

Ambari is the recommended tool for monitoring the health for any given HDInsight cluster.

Note: Azure HDInsight is a high-availability service that has redundant gateway nodes, head nodes, and ZooKeeper nodes to keep your HDInsight clusters running smoothly. While this ensures that a single failure will not affect the
functionality of a cluster, you may still want to monitor cluster health so you are alerted when an issue does arise. Monitoring cluster health refers to monitoring whether all nodes in your cluster and the components that run on them are
available and functioning correctly.

Ambari is the recommended tool for monitoring utilization across the whole cluster. The Ambari dashboard shows easily glanceable widgets that display metrics such as CPU, network, YARN memory, and HDFS disk usage. The specific
metrics shown depend on cluster type. The “Hosts” tab shows metrics for individual nodes so you can ensure the load on your cluster is evenly distributed.

References: https://azure.microsoft.com/en-us/blog/monitoring-on-hdinsight-part-1-an-
overview/

QUESTION 6 You manage a solution that uses Azure
HDInsight clusters.

You need to implement a solution to monitor cluster performance and status.

Which technology should you use?

A. Azure HDInsight .NET SDK
B. Azure HDInsight REST API
C. Ambari REST API
D. Azure Log Analytics
E. Ambari Web UI

Correct Answer: E

Explanation

Explanation/Reference:

Explanation:

The Apache Ambari project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. Ambari provides an intuitive, easy-to-use Hadoop management web
UI backed by its RESTful APIs.

References:

https://azure.microsoft.com/en-us/blog/monitoring-on-hdinsight-part-1-an-overview/
https://ambari.apache.org/

QUESTION 7 You configure monitoring for a Microsoft Azure SQL Data Warehouse implementation. The implementation uses PolyBase to load data from comma-separated value (CSV) files stored in Azure Data Lake Gen 2 using an
external table.

Files with an invalid schema cause errors to occur.

You need to monitor for an invalid schema error.

For which error should you monitor?

A. EXTERNAL TABLE access failed due to internal error: 'Java exception raised on call to HdfsBridge_Connect: Error [com.microsoft.polybase.client.KerberosSecureLogin] occurred
while accessing external files.'
B. EXTERNAL TABLE access failed due to internal error: 'Java exception raised on call to HdfsBridge_Connect: Error [No FileSystem for scheme: wasbs] occurred while accessing
external file.'
C. Cannot execute the query "Remote Query" against OLE DB provider "SQLNCLI11": for linked server "(null)", Query aborted- the maximum reject threshold (o rows) was reached while
regarding from an external source: 1 rows rejected out of total 1 rows processed.
D. EXTERNAL TABLE access failed due to internal error: 'Java exception raised on call to HdfsBridge_Connect: Error [Unable to instantiate LoginClass] occurred while accessing
external files.'

Correct Answer: C

Explanation

Explanation/Reference:

Explanation:

Customer Scenario:

SQL Server 2016 or SQL DW connected to Azure blob storage. The CREATE EXTERNAL TABLE DDL points to a directory (and not a specific file) and the directory contains files with different schemas.

SSMS Error:

Select query on the external table gives the following error:

Msg 7320, Level 16, State 110, Line 14

Cannot execute the query "Remote Query" against OLE DB provider "SQLNCLI11" for linked server "(null)". Query aborted-- the maximum reject threshold (0 rows) was reached while reading from an external source: 1 rows rejected out of
total 1 rows processed.

Possible Reason:

The reason this error happens is because each file has different schema. The PolyBase external table DDL when pointed to a directory recursively reads all the files in that directory. When a column or data type mismatch happens, this error
could be seen in SSMS.

Possible Solution:

If the data for each table consists of one file, then use the filename in the LOCATION section prepended by the directory of the external files. If there are multiple files per table, put each set of files into different directories in Azure Blob
Storage and then you can point LOCATION to the directory instead of a particular file. The latter suggestion is the best practices recommended by SQLCAT even if you have one file per table.

Incorrect Answers:

A: Possible Reason: Kerberos is not enabled in Hadoop Cluster.

References: https://techcommunity.microsoft.com/t5/DataCAT/PolyBase-Setup-Errors-and-Possible-Solutions/ba-p/305297

Testlet 2

Background

Proseware, Inc, develops and manages a product named Poll Taker. The product is used for delivering public opinion polling and analysis.

Polling data comes from a variety of sources, including online surveys, house-to-house interviews, and booths at public events.

Polling data

Polling data is stored in one of the two locations:

An on-premises Microsoft SQL Server 2019 database named PollingData
Azure Data Lake Gen 2

Data in Data Lake is queried by using PolyBase
Poll metadata

Each poll has associated metadata with information about the poll including the date and number of respondents. The data is stored as JSON.

Phone-based polling

Security

Phone-based poll data must only be uploaded by authorized users from authorized devices

Contractors must not have access to any polling data other than their own

Access to polling data must set on a per-active directory user basis

Data migration and loading

All data migration processes must use Azure Data Factory

All data migrations must run automatically during non-business hours

Data migrations must be reliable and retry when needed

Performance After six months, raw polling data should be moved to a lower-cost
storage solution.

Deployments

All deployments must be performed by using Azure DevOps. Deployments must use templates used in multiple environments
No credentials or secrets should be used during deployments

Reliability

All services and processes must be resilient to a regional Azure outage.

Monitoring

All Azure services must be monitored by using Azure Monitor. On-premises SQL Server performance must be monitored.

QUESTION 1
HOTSPOT

You need to ensure phone-based polling data upload reliability requirements are met. How should you configure monitoring? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Correct Answer:

Explanation

Explanation/Reference:

Explanation:

Box 1: FileCapacity

FileCapacity is the amount of storage used by the storage account’s File service in bytes.

Box 2: Avg

The aggregation type of the FileCapacity metric is Avg.

Scenario:

All services and processes must be resilient to a regional Azure outage.

All Azure services must be monitored by using Azure Monitor. On-premises SQL Server performance must be monitored.

References: https://docs.microsoft.com/en-us/azure/azure-monitor/platform/metrics-supported

Testlet 3

Overview

Current environment

Contoso relies on an extensive partner network for marketing, sales, and distribution. Contoso uses external companies that manufacture everything from the actual pharmaceutical to the packaging.

The majority of the company’s data reside in Microsoft SQL Server database. Application databases fall into one of the following tiers:

Requirements

Tier 3 and Tier 6 through Tier 8 application must use database density on the same server and Elastic pools in a cost-effective manner.

Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.

A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of server going offline.

Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.

Tier 1 internal applications on the premium P2 tier

Tier 2 internal applications on the standard S4 tier

Tier 7 and Tier 8 partner access must be restricted to the database only.

Back up strategies must be put in place for all other standalone Azure SQL Databases using Azure SQL-provided backup storage and capabilities.

Databases Contoso requires their data estate to be designed and implemented in the Azure Cloud. Moving to the cloud must not inhibit access to or
availability of data.

Databases:

Tier 1 Database must implement data masking using the following masking logic:

Tier 2 databases must sync between branches and cloud databases and in the event of conflicts must be set up for conflicts to be won by on-premises databases.

Tier 3 and Tier 6 through Tier 8 applications must use database density on the same server and Elastic pools in a cost-effective manner.

Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.

A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of a server going offline.

Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.

Tier 1 internal applications on the premium P2 tier

Tier 2 internal applications on the standard S4 tier

Reporting

Security and monitoring

Security

A method of managing multiple databases in the cloud at the same time is must be implemented to streamlining data management and limiting management access to only those requiring access.

Monitoring

Monitoring must be set up on every database. Contoso and partners must receive performance reports as part of contractual agreements.

Tiers 6 through 8 must have unexpected resource storage usage immediately reported to data engineers.

Existing Data Protection and Security compliances require that all certificates and keys are internally managed in an on-premises storage.

You identify the following reporting requirements:

Azure Data Warehouse must be used to gather and query data from multiple internal and external databases

Azure Data Warehouse must be optimized to use data from a cache

Reporting data aggregated for external partners must be stored in Azure Storage and be made available during regular business hours in the connecting regions

Issues

Team members identify the following issues:

Internal and external database development staff resources are primarily SQL developers familiar with the Transact-SQL language.

Size and amount of data has led to applications and reporting solutions not performing are required speeds

Tier 7 and 8 data access is constrained to single endpoints managed by partners for access

QUESTION 1

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You need to implement diagnostic logging for Data Warehouse monitoring.

Which log should you use?

A. RequestSteps
B. DmsWorkers
C. SqlRequests
D. ExecRequests

Correct Answer: C

Explanation

Explanation/Reference:

Explanation:

Scenario:

The Azure SQL Data Warehouse cache must be monitored when the database is being used.

References: https://docs.microsoft.com/en-us/sql/relational-databases/system-dynamic-management-views/sys-dm-pdw-sql-requests-transact-
sq

QUESTION 2

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You need setup monitoring for tiers 6 through 8.

What should you configure?

A. extended events for average storage percentage that emails data engineers
B. an alert rule to monitor CPU percentage in databases that emails data engineers
C. an alert rule to monitor CPU percentage in elastic pools that emails data engineers
D. an alert rule to monitor storage percentage in databases that emails data engineers
E. an alert rule to monitor storage percentage in elastic pools that emails data engineers

Correct Answer: E

Explanation

Explanation/Reference:

Explanation:

Scenario:

Tiers 6 through 8 must have unexpected resource storage usage immediately reported to data engineers.

Tier 3 and Tier 6 through Tier 8 applications must use database density on the same server and Elastic pools in a cost-effective manner.

Question Set 1

QUESTION 1

A company has a real-time data analysis solution that is hosted on Microsoft Azure. The solution uses Azure Event Hub to ingest data and an Azure Stream Analytics cloud job to analyze the data. The cloud job is configured to use 120
Streaming Units (SU).

You need to optimize performance for the Azure Stream Analytics job.

Which two actions should you perform? Each correct answer present part of the solution.

NOTE: Each correct selection is worth one point.

A. Implement event ordering
B. Scale the SU count for the job up
C. Implement Azure Stream Analytics user-defined functions (UDF)
D. Scale the SU count for the job down
E. Implement query parallelization by partitioning the data output
F. Implement query parallelization by partitioning the data input

Correct Answer: BF

Explanation

Explanation/Reference:

Explanation:

Scale out the query by allowing the system to process each input partition separately.

F: A Stream Analytics job definition includes inputs, a query, and output. Inputs are where the job reads the data stream from.

References: https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-
parallelization

QUESTION 2

You manage a process that performs analysis of daily web traffic logs on an HDInsight cluster. Each of the 250 web servers generates approximately 10 megabytes (MB) of log data each day. All log data is stored in a single folder in Microsoft
Azure Data Lake Storage Gen 2.

You need to improve the performance of the process.

Which two changes should you make? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A. Combine the daily log files for all servers into one file
B. Increase the value of the mapreduce.map.memory parameter
C. Move the log files into folders so that each day’s logs are in their own folder
D. Increase the number of worker nodes
E. Increase the value of the hive.tez.container.size parameter

Correct Answer: AC

Explanation

Explanation/Reference:

Explanation:

A: Typically, analytics engines such as HDInsight and Azure Data Lake Analytics have a per-file overhead. If you store your data as many small files, this can negatively affect performance. In general, organize your data into larger sized files
for better performance (256MB to 100GB in size). Some engines and applications might have trouble efficiently processing files that are greater than 100GB in size.

C: For Hive workloads, partition pruning of time-series data can help some queries read only a subset of the data which improves performance.

Those pipelines that ingest time-series data, often place their files with a very structured naming for files and folders. Below is a very common example we see for data that is structured by date:
\DataSet\YYYY\MM\DD\datafile_YYYY_MM_DD.tsv

Notice that the datetime information appears both as folders and in the filename.

References: https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-performance-tuning-
guidance

QUESTION 3

DRAG DROP

A company builds an application to allow developers to share and compare code. The conversations, code snippets, and links shared by people in the application are stored in a Microsoft Azure SQL Database instance. The application allows
for searches of historical conversations and code snippets.

When users share code snippets, the code snippet is compared against previously share code snippets by using a combination of Transact-SQL functions including SUBSTRING, FIRST_VALUE, and SQRT. If a match is found, a link to the
match is added to the conversation.

Customers report the following issues:

Delays occur during live conversations

A delay occurs before matching links appear after code snippets are added to conversations

You need to resolve the performance issues.

Which technologies should you use? To answer, drag the appropriate technologies to the correct issues. Each technology may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view
content.

NOTE: Each correct selection is worth one point.

Select and Place:

Correct Answer:

Explanation

Explanation/Reference:
Explanation:

Box 1: memory-optimized table

In-Memory OLTP can provide great performance benefits for transaction processing, data ingestion, and transient data scenarios.

Box 2: materialized view

To support efficient querying, a common solution is to generate, in advance, a view that materializes the data in a format suited to the required results set. The Materialized View pattern describes generating prepopulated views of data in
environments where the source data isn't in a suitable format for querying, where generating a suitable query is difficult, or where query performance is poor due to the nature of the data or the data store.

These materialized views, which only contain data required by a query, allow applications to quickly obtain the information they need. In addition to joining tables or combining data entities, materialized views can include the current values of
calculated columns or data items, the results of combining values or executing transformations on the data items, and values specified as part of the query. A materialized view can even be optimized for just a single query.

References:

https://docs.microsoft.com/en-us/azure/architecture/patterns/materialized-view

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