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

You are optimizing an Azure Synapse Analytics dedicated SQL pool that runs a mix of reporting and ETL workloads. The ETL jobs often encounter resource wait times due to concurrent reporting queries. You need to ensure that ETL jobs always get the resources they need. Which two actions should you take? (Choose two.)

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

Assign HIGH importance to the ETL workload classifier.

The correct actions are B and E. Assigning HIGH importance to the ETL workload classifier (B) ensures that ETL queries are prioritized over lower-importance reporting queries. Creating a workload group for ETL with a minimum resource percentage and assigning it to a dedicated resource pool (E) guarantees a baseline of resources for ETL, preventing resource starvation. Option A (increasing DWU) adds overall resources but does not guarantee ETL gets priority. Option C (result set caching) and Option D (materialized views) improve reporting performance but do not ensure ETL resource allocation.

Answer analysis

Option-by-option breakdown

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

  • Increase the DWU (Data Warehouse Units) to provide more overall resources.

    Why it's wrong here

    Increasing DWU may help but does not guarantee ETL gets priority; reporting could still consume resources.

  • Assign HIGH importance to the ETL workload classifier.

    Why this is correct

    HIGH importance ensures ETL queries are prioritized over lower importance reporting queries.

  • Enable result set caching for reporting queries.

    Why it's wrong here

    Result set caching reduces compute for reporting but does not allocate resources to ETL.

  • Create materialized views for common reporting aggregations.

    Why it's wrong here

    Materialized views improve query performance but do not guarantee resource allocation for ETL.

  • Create a workload group for ETL with a minimum resource percentage and assign it to a dedicated resource pool.

    Why this is correct

    Workload isolation ensures ETL has dedicated resources, reducing contention.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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