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Microsoft DP-200 Implementing an Azure Data Solution
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Pass4itsure offers the latest Microsoft DP-200 practice test free of charge 1-13
QUESTION 1
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 2
You are a data architect. The data engineering team needs to configure a synchronization of data between an onpremises 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 job
E. Azure SQL Data Sync
Correct Answer: E
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 3
You need to provision the polling data storage account.
How should you configure the storage account? To answer, drag the appropriate Configuration Value to the correct
Setting. Each Configuration Value 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:
QUESTION 4
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 –
Correct Answer:
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
What should you implement to optimize SQL Database for Race Central to meet the technical requirements?
A. the sp_updatestored procedure
B. automatic tuning
C. Query Store
D. the dbcc checkdbcommand
Correct Answer: A
Scenario: The query performance of Race Central must be stable, and the administrative time it takes to perform
optimizations must be minimized.
sp_update updates query optimization statistics on a table or indexed view. By default, the query optimizer already
updates statistics as necessary to improve the query plan; in some cases you can improve query performance by using
UPDATE STATISTICS or the stored procedure sp_updatestats to update statistics more frequently than the default
updates.
Incorrect Answers:
D: dbcc checkdchecks the logical and physical integrity of all the objects in the specified database
QUESTION 6
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 account
C. 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
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
QUESTION 7
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 8
You have an Azure data solution that contains an Azure SQL data warehouse named DW1.
Several users execute adhoc queries to DW1 concurrently.
You regularly perform automated data loads to DW1.
You need to ensure that the automated data loads have enough memory available to complete quickly and successfully
when the adhoc queries run
What should you do?
A. Hash distribute the large fact tables in DW1 before performing the automated data loads.
B. Assign a larger resource class to the automated data load queries.
C. Create sampled statistics for every column in each table of DW1.
D. Assign a smaller resource class to the automated data load queries.
Correct Answer: B
To ensure the loading user has enough memory to achieve maximum compression rates, use loading users that are a
member of a medium or large resource class.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data
QUESTION 9
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following
three workloads:
A workload for data engineers who will use Python and SQL
A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL
A workload that data scientists will use to perform ad hoc analysis in Scala and R
The enterprise architecture team at your company identifies the following standards for Databricks environments:
The data engineers must share a cluster.
The job cluster will be managed by using a request process whereby data scientists and data engineers provide
packaged notebooks for deployment to the cluster.
All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity.
Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a
High Concurrency cluster for the jobs.
Does this meet the goal?
A. Yes
B. No
Correct Answer: A
We need a High Concurrency cluster for the data engineers and the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language: Python,
R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they
provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html
QUESTION 10
You have an Azure Storage account that contains 100 GB of files. The files contain text and numerical values. 75% of
the rows contain description data that has an average length of 1.1 MB.
You plan to copy the data from the storage account to an Azure SQL data warehouse.
You need to prepare the files to ensure that the data copies quickly.
Solution: You copy the files to a table that has a columnstore index.
Does this meet the goal?
A. Yes
B. No
Correct Answer: B
Instead modify the files to ensure that each row is less than 1 MB.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/guidance-for-loading-data
QUESTION 11
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
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.
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 12
You plan to implement an Azure Cosmos DB database that will write 100,000 JSON every 24 hours. The database will
be replicated to three regions. Only one region will be writable.
You need to select a consistency level for the database to meet the following requirements:
Guarantee monotonic reads and writes within a session.
Provide the fastest throughput.
Provide the lowest latency.
Which consistency level should you select?
A. Strong
B. Bounded Staleness
C. Eventual
D. Session
E. Consistent Prefix
Correct Answer: D
Session: Within a single client session reads are guaranteed to honor the consistent-prefix (assuming a single “writer”
session), monotonic reads, monotonic writes, read-your-writes, and write-follows-reads guarantees. Clients outside of
the session performing writes will see eventual consistency.
References: https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels
QUESTION 13
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
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