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DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing

You have an Azure Synapse Analytics workspace with Apache Spark pools. You need to monitor Spark application performance and identify stages that are taking the longest time. Which tool should you use?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Use the Spark UI available in Synapse Studio.

The Spark UI provides detailed information about stages, tasks, and executors. Option B is wrong because Azure Monitor metrics provide aggregate metrics but not stage-level details. Option C is wrong because Log Analytics queries can analyze logs but not as directly as Spark UI. Option D is wrong because Synapse Studio provides a job view but not as granular as Spark UI.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use the Spark UI available in Synapse Studio.

    Why this is correct

    Spark UI provides detailed stage-level performance metrics.

  • Run KQL queries in Log Analytics against Spark logs.

    Why it's wrong here

    Log Analytics can be used but requires parsing logs; not as direct as Spark UI.

  • Query Azure Monitor metrics for the Spark pool.

    Why it's wrong here

    Azure Monitor metrics are aggregated and do not show individual stages.

  • Use the Synapse Pipeline monitoring view.

    Why it's wrong here

    Pipeline monitoring does not show Spark stage details.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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