[Nov 16, 2021] Get New DP-200 Practice Test Questions Answers [Q140-Q157]

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[Nov 16, 2021] Get New DP-200 Practice Test Questions Answers 

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NEW QUESTION 140
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.

Answer:

Explanation:

 

NEW QUESTION 141
SIMULATION
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936

You need to ensure that you can recover any blob data from an Azure Storage account named storage10543936 up to 10 days after the data is deleted.
To complete this task, sign in to the Azure portal.

  • A. Enable soft delete for blobs on your storage account by using Azure portal:
    1. In the Azure portal, select your storage account.
    2. Navigate to the Data Protection option under Blob Service.
    3. Click Enabled under Blob soft delete
    4. Enter the number of days you want to retain for under Retention policies. Here enter 10.
    5. Choose the Save button to confirm your Data Protection settings
    Note: Azure Storage now offers soft delete for blob objects so that you can more easily recover your data when it is erroneously modified or deleted by an application or other storage account user. Currently you can retain soft deleted data for between 1 and 365 days.
  • B. Enable soft delete for blobs on your storage account by using Azure portal:
    1. In the Azure portal, select your storage account.
    2. Navigate to the Data Protection option under Blob Service.
    3. Click Enabled under Blob soft delete

    4. Enter the number of days you want to retain for under Retention policies. Here enter 10.
    5. Choose the Save button to confirm your Data Protection settings
    Note: Azure Storage now offers soft delete for blob objects so that you can more easily recover your data when it is erroneously modified or deleted by an application or other storage account user. Currently you can retain soft deleted data for between 1 and 365 days.

Answer: B

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-soft-delete

 

NEW QUESTION 142
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 implement diagnostic logging for Data Warehouse monitoring.
Which log should you use?

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

Answer: D

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
Topic 1, Contoso Ltd
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:
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 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

 

NEW QUESTION 143
What should you implement to optimize SQL Database for Race Central to meet the technical requirements?

  • A. the dbcc checkdb command
  • B. automatic tuning
  • C. the sp_update stored procedure
  • D. Query Store

Answer: C

Explanation:
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

 

NEW QUESTION 144
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 have an Azure subscription that contains an Azure Storage account.
You plan to implement changes to a data storage solution to meet regulatory and compliance standards.
Every day, Azure needs to identify and delete blobs that were NOT modified during the last 100 days.
Solution: You apply an expired tag to the blobs in the storage account.
Does this meet the goal?

  • A. Yes
  • B. No

Answer: B

Explanation:
Explanation
Instead apply an Azure Blob storage lifecycle policy.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-lifecycle-management-concepts?tabs=azure-portal

 

NEW QUESTION 145
You have a new Azure Data Factory environment.
You need to periodically analyze pipeline executions from the last 60 days to identify trends in execution durations. The solution must use Azure Log Analytics to query the data and create charts.
Which diagnostic settings should you configure in Data Factory? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor

 

NEW QUESTION 146
You have a SQL pool in Azure Synapse.
You discover that some queries fail or take a long time to complete.
You need to monitor for transactions that have rolled back.
Which dynamic management view should you query?

  • A. sys.dm_pdw_waits
  • B. sys.dm_pdw_nodes_tran_database_transactions
  • C. sys.dm_pdw_exec_sessions
  • D. sys.dm_pdw_request_steps

Answer: B

Explanation:
You can use Dynamic Management Views (DMVs) to monitor your workload including investigating query execution in SQL pool.
If your queries are failing or taking a long time to proceed, you can check and monitor if you have any transactions rolling back.
Example:
-- Monitor rollback
SELECT
SUM(CASE WHEN t.database_transaction_next_undo_lsn IS NOT NULL THEN 1 ELSE 0 END), t.pdw_node_id, nod.[type] FROM sys.dm_pdw_nodes_tran_database_transactions t JOIN sys.dm_pdw_nodes nod ON t.pdw_node_id = nod.pdw_node_id GROUP BY t.pdw_node_id, nod.[type] Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-managemonitor# monitor-transaction-log-rollback

 

NEW QUESTION 147
You need to replace the SSIS process by using Data Factory.
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.

Answer:

Explanation:

References:
https://docs.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-portal

 

NEW QUESTION 148
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10277521
You need to ensure that an email notification is sent to [email protected] if a suspicious login to an Azure SQL database named db2 is detected.
To complete this task, sign in to the Azure portal.

Answer:

Explanation:
Set up Advanced Threat Protection in the Azure portal.
1. From the Azure portal navigate to the configuration page of the Azure SQL Database db2, which you want to protect. In the security settings, select Advanced Data Security.
2. On the Advanced Data Security configuration page:
Enable Advanced Data Security on the server.
In Advanced Threat Protection Settings, in the Send alerts to text box, enter [email protected] to receive security alerts upon detection of anomalous database activities.

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

 

NEW QUESTION 149
You have an Azure virtual machine that has Microsoft SQL Server installed. The server contains a table named Table1.
You need to copy the data from Table1 to an Azure Data Lake Storage Gen2 account by using an Azure Data Factory V2 copy activity.
Which type of integration runtime should you use?

  • A. Azure-SSIS integration runtime
  • B. Azure integration runtime
  • C. self-hosted integration runtime

Answer: C

Explanation:
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.
References:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime#determining-which-ir-to-use

 

NEW QUESTION 150
You are implementing mapping data flows in Azure Data Factory to convert daily logs of taxi records into aggregated datasets.
You configure a data flow and receive the error shown in the following exhibit.

You need to resolve the error.
Which setting should you configure? To answer, select the appropriate setting in the answer area.

Answer:

Explanation:

Explanation

The Inspect tab provides a view into the metadata of the data stream that you're transforming. You can see column counts, the columns changed, the columns added, data types, the column order, and column references.
Inspect is a read-only view of your metadata. You don't need to have debug mode enabled to see metadata in the Inspect pane.

Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-data-flow-overview

 

NEW QUESTION 151
You have an alert on a SQL pool in Azure Synapse that uses the signal logic shown in the exhibit.

On the same day, failures occur at the following times:
08:01
08:03
08:04
08:06
08:11
08:16
08:19
The evaluation period starts on the hour.
At which times will alert notifications be sent?

  • A. 08:10 only
  • B. 08:05 only
  • C. 08:10, 08:15, and 08:20
  • D. 08:05 and 08:10 only
  • E. 08:15 only

Answer: C

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/alerts-insights-configure-portal

 

NEW QUESTION 152
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.
A company uses Azure Data Lake Gen 1 Storage to store big data related to consumer behavior.
You need to implement logging.
Solution: Create an Azure Automation runbook to copy events.
Does the solution meet the goal?

  • A. Yes
  • B. No

Answer: B

Explanation:
Instead configure Azure Data Lake Storage diagnostics to store logs and metrics in a storage account.
Note:
You can enable diagnostic logging for your Azure Data Lake Storage Gen1 accounts, blobs, files, queues and tables.
Diagnostic logs aren't available for Data Lake Storage Gen2 accounts [as of August 2019].
Reference:
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-diagnostic-logs
https://github.com/MicrosoftDocs/azure-docs/issues/34286

 

NEW QUESTION 153
Which masking functions should you implement for each column to meet the data masking requirements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: Custom text/string: A masking method, which exposes the first and/or last characters and adds a custom padding string in the middle.
Only show the last four digits of the values in a column named SuspensionSprings.
Box 2: Default
Default uses a zero value for numeric data types (bigint, bit, decimal, int, money, numeric, smallint, smallmoney, tinyint, float, real).
Scenario: Only show a zero value for the values in a column named ShockOilWeight.
Scenario:
The company identifies the following data masking requirements for the Race Central data that will be stored in SQL Database:
* Only show a zero value for the values in a column named ShockOilWeight.
* Only show the last four digits of the values in a column named SuspensionSprings.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/dynamic-data-masking-overview

 

NEW QUESTION 154
You use Azure Stream Analytics to receive Twitter data from Azure Event Hubs and to output the data to an Azure Blob storage account.
You need to output the count of tweets during the last five minutes every five minutes. Each tweet must only
be counted once.
Which windowing function should you use?

  • A. a five-minute Session window
  • B. a five-minute Tumbling window
  • C. a five-minute Hopping window that has one-minute hop
  • D. a five-minute Sliding window

Answer: B

Explanation:
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.

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

 

NEW QUESTION 155
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 question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure SQL database named DB1 that contains a table named Table1. Table1 has a field named Customer_ID that is varchar(22).
You need to implement masking for the Customer_ID field to meet the following requirements:
* The first two prefix characters must be exposed.
* The last four prefix characters must be exposed.
All other characters must be masked.
Solution: You implement data masking and use an email function mask.
Does this meet the goal?

  • A. Yes
  • B. No

Answer: B

Explanation:
Explanation
Must use Custom Text data masking, which exposes the first and last characters and adds a custom padding string in the middle.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-dynamic-data-masking-get-started

 

NEW QUESTION 156
You develop data engineering solutions for a company.
A project requires the deployment of data to Azure Data Lake Storage.
You need to implement role-based access control (RBAC) so that project members can manage the Azure Data Lake Storage resources.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Configure access control lists (ACL) for the Azure Data Lake Storage account.
  • B. Configure end-user authentication for the Azure Data Lake Storage account.
  • C. Assign Azure AD security groups to Azure Data Lake Storage.
  • D. Configure service-to-service authentication for the Azure Data Lake Storage account.
  • E. Create security groups in Azure Active Directory (Azure AD) and add project members.

Answer: A,C,E

Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-secure-data

 

NEW QUESTION 157
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