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Administering Microsoft Azure SQL Solutions Questions 151–155 (page: 32)

Updated On: 10-Feb-2026
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Which audit log destination should you use to meet the monitoring requirements?

  1. Azure Storage
  2. Azure Event Hubs
  3. Azure Log Analytics

Answer(s): C

Explanation:

Scenario: Use a single dashboard to review security and audit data for all the PaaS databases.
With dashboards can bring together operational data that is most important to IT across all your Azure resources, including telemetry from Azure Log Analytics.
Note: Auditing for Azure SQL Database and Azure Synapse Analytics tracks database events and writes them to an audit log in your Azure storage account, Log Analytics workspace, or Event Hubs.


Reference:

https://docs.microsoft.com/en-us/azure/azure-monitor/visualize/tutorial-logs-dashboards



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Which windowing function should you use to perform the streaming aggregation of the sales data?

  1. Sliding
  2. Hopping
  3. Session
  4. Tumbling

Answer(s): D

Explanation:

Scenario: The sales data, including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytics process will perform aggregations that must be done continuously, without gaps, and without overlapping.
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.


Reference:

https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/stream-analytics/stream-analytics-window- functions.md



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Which counter should you monitor for real-time processing to meet the technical requirements?

  1. SU% Utilization
  2. CPU% utilization
  3. Concurrent users
  4. Data Conversion Errors

Answer(s): B



You have an Azure SQL database named sqldb1.

You need to minimize the possibility of Query Store transitioning to a read-only state.

What should you do?

  1. Double the value of Data Flush interval
  2. Halve the value of Data Flush Interval
  3. Double the value of Statistics Collection Interval
  4. Halve the value of Statistics Collection interval

Answer(s): B

Explanation:

The Max Size (MB) limit isn't strictly enforced. Storage size is checked only when Query Store writes data to disk. This interval is set by the Data Flush Interval (Minutes) option. If Query Store has breached the maximum size limit between storage size checks, it transitions to read-only mode.
Incorrect Answers:
C: Statistics Collection Interval: Defines the level of granularity for the collected runtime statistic, expressed in minutes. The default is 60 minutes. Consider using a lower value if you require finer granularity or less time to detect and mitigate issues. Keep in mind that the value directly affects the size of Query Store data.


Reference:

https://docs.microsoft.com/en-us/sql/relational-databases/performance/best-practice-with-the-query-store



You have SQL Server 2019 on an Azure virtual machine that runs Windows Server 2019. The virtual machine has 4 vCPUs and 28 GB of memory.

You scale up the virtual machine to 16 vCPUs and 64 GB of memory.

You need to provide the lowest latency for tempdb.

What is the total number of data files that tempdb should contain?

  1. 2
  2. 4
  3. 8
  4. 64

Answer(s): C

Explanation:

The number of files depends on the number of (logical) processors on the machine. As a general rule, if the number of logical processors is less than or equal to eight, use the same number of data files as logical processors. If the number of logical processors is greater than eight, use eight data files and then if contention continues, increase the number of data files by multiples of 4 until the contention is reduced to acceptable levels or make changes to the workload/code.


Reference:

https://docs.microsoft.com/en-us/sql/relational-databases/databases/tempdb-database



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