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“Implementing an Azure Data Solution” Exam DP-200. Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to implement data solutions that use Azure data services.

Azure data engineers are responsible for data-related tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.

Here you can get the latest free DP-200 exam exercise questions and answers for free and easily improve your skills!

DP-200 exam

Candidates for this exam must be able to implement data solutions that use the following Azure services: Azure Cosmos DB, Azure SQL Database, Azure SQL Data Warehouse, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.

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Table of Contents:

• Latest Microsoft Azure DP-200 pdf
• Test your Microsoft Azure DP-200 exam level
• Related DP-200 Popular Exam resources
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Latest Microsoft Azure DP-200 pdf

[PDF] Free Microsoft Azure DP-200 pdf dumps download from Google Drive: https://drive.google.com/open?id=1H70200WCZAc8N43RdlP4JVsNXdOm0D2U

Microsoft Certified: Azure Data Engineer Associate：https://www.microsoft.com/en-us/learning/azure-data-engineer.aspx

Skills measured

• Implement data storage solutions
• Manage and develop data processing
• Monitor and optimize data solutions
• Design Azure data storage solutions
• Design data processing solutions
• Design for data security and compliance

Free Microsoft Azure DP-200 Exam Practice Questions

QUESTION 1

You are creating a managed data warehouse solution on Microsoft Azure. 

You must use PolyBase to retrieve data from Azure Blob storage that resides in parquet format and toad the data into a

large table called FactSalesOrderDetails. 

You need to configure Azure SQL Data Warehouse to receive the data. 

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:

QUESTION 2
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:

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; GO CREATE MASTER KEY ENCRYPTION BY PASSWORD = \\’\\’; go CREATE
CERTIFICATE MyServerCert WITH SUBJECT = \\’My DEK Certificate\\’; go USE AdventureWorks2012; GO CREATE
DATABASE ENCRYPTION KEY WITH ALGORITHM = AES_128 ENCRYPTION BY SERVER CERTIFICATE
MyServerCert; GO ALTER DATABASE AdventureWorks2012 SET ENCRYPTION ON; GO
References: https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/transparent-data-encryption

QUESTION 3
You implement 3 Azure SQL Data Warehouse instance.
You plan to migrate the largest fact table to Azure SQL Data Warehouse The table resides on Microsoft SQL Server on-
premises and e 10 terabytes (TB) in size.
Incoming queues use the primary key Sale Key column to retrieve data as displayed in the following table:

You need to distribute the fact table across multiple nodes to optimize performance of the table.
Which technology should you use?
A. hash distributed table with clustered ColumnStore index
B. hash distributed table with clustered index
C. heap table with distribution replicate
D. round robin distributed table with clustered index
E. round robin distributed table with clustered ColumnStore index
Correct Answer: A

QUESTION 4
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:

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

QUESTION 5
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/Reference:
Box 1: FileCapacity
FileCapacity is the amount of storage used by the storage account

QUESTION 6
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/Reference:
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 7
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
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 8
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:

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 9
You implement an event processing solution using Microsoft Azure Stream Analytics.
The solution must meet the following requirements:
-Ingest data from Blob storage
-Analyze data in real time
-Store processed data in Azure Cosmos DB
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:

QUESTION 10
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:

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 11
A company plans to use Platform-as-a-Service (PaaS) to create the new data pipeline process. The process must meet
the following requirements.
Ingest:
– Access multiple data sources
– Provide the ability to orchestrate workflow
– Provide the capability to run SQL Server Integration Services packages.
Store:
– Optimize storage for big data workloads.
– Provide encryption of data at rest.
– Operate with no size limits.
Prepare and Train:
– Provide a fully-managed and interactive workspace for exploration and visualization.
– Provide the ability to program in R, SQL, Python, Scala, and Java.
– Provide seamless user authentication with Azure Active Directory.
Model and Serve:
– Implement native columnar storage.
– Support for the SQL language
– Provide support for structured streaming.
You need to build the data integration pipeline.
Which technologies should you use? To answer, select the appropriate options in the answer area.
Hot Area:

Correct Answer:

QUESTION 12
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
-Serve as a repository (or high volumes of large files in various formats.
-Implement optimized storage for big data analytics workloads.
-Ensure that data can be organized using a hierarchical structure. Batch processing:
-Use a managed solution for in-memory computation processing.
-Natively support Scala, Python, and R programming languages.
-Provide the ability to resize and terminate the cluster automatically. Analytical data store:
-Support parallel processing.
-Use columnar storage.
-Support SQL-based languages. You need to identify the correct technologies to build the Lambda architecture. 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:

QUESTION 13
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
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

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