Monitor Data Storage and Data Processing DP-203 Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   What is the primary purpose of enabling diagnostic settings on an Azure resource?

   • ATo automatically scale the resource based on load
   • BTo encrypt data at rest for the resource
   • CTo grant access permissions to the resource
   • DTo configure which platform logs and metrics are collected and where they are sent
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2. 17application · medium

   A company uses Azure Data Lake Storage Gen2 for a data lake. They need to monitor access patterns and detect potential security issues. They want to collect logs for all read and write operations. What should they configure?

   • AEnable Azure Defender for Storage and review the security alerts.
   • BEnable diagnostic settings on the storage account and select 'StorageRead' and 'StorageWrite' logs to send to a Log Analytics workspace.
   • CConfigure a network security group flow log on the virtual network.
   • DUse Azure Activity Log to capture all storage account operations.
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4. 18foundation · easy

   What does a high 'CPU percentage' metric in Azure Monitor for a virtual machine typically indicate?

   • AThe VM is under heavy processing load
   • BThe VM has insufficient memory
   • CThe VM is running out of disk space
   • DThe VM is experiencing network latency
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5. 19expert · hard

   A data platform team uses Azure Monitor to monitor a data pipeline that runs in Azure Data Factory. They have enabled diagnostic settings to send logs to a Log Analytics workspace. They want to create an alert that triggers when a pipeline run fails due to a specific error code, but not for other failures. What should they do?

   • AUse an activity log alert to monitor for pipeline failures with the specific error code.
   • BSet up a webhook in the pipeline's error handling to send a notification when the specific error occurs.
   • CCreate a metric alert on the 'Pipeline failed runs' metric and add a dimension filter for the error code.
   • DCreate a log alert rule with a KQL query that filters for the specific error code in the ADFPipelineRun table.
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6. 20application · medium

   A data platform team uses Azure Data Factory for multiple pipelines. They want to be notified immediately when any pipeline run fails, but they also want to avoid alert fatigue from known transient failures. What alert strategy should they implement?

   • AUse a single alert rule that triggers on any failure and then manually acknowledge each alert.
   • BCreate a single alert rule that triggers on any pipeline run failure and set the severity to 'Sev 0'.
   • CCreate separate alert rules for each pipeline with a dynamic threshold based on historical failure rates.
   • DDisable alerts for known failing pipelines and only alert on new failures.
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