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DP-300 Practice Question: Monitor, configure, and optimize database resources

You are optimizing an Azure SQL Database that uses the Hyperscale service tier. You need to identify which three actions can improve write performance. Which THREE should you select?

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 smaller log writes

Using smaller log writes reduces log write latency, which improves write performance in Hyperscale. Option B is correct: Increasing the log rate limit allows higher log throughput, directly enhancing write performance. Option E is correct: Enabling Accelerated Database Recovery reduces log amplification and improves log write efficiency, benefiting write performance. Option C is incorrect: The Hyperscale service tier is distinct from Business Critical; moving to Business Critical does not apply to Hyperscale. Option D is incorrect: Read scale-out improves read performance, not write performance.

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 smaller log writes

    Why this is correct

    Smaller log writes reduce latency.

  • Increase the log rate limit

    Why this is correct

    Higher log rate limit allows more log throughput.

  • Increase the service tier to Business Critical

    Why it's wrong here

    Hyperscale does not have a Business Critical tier.

  • Enable read scale-out

    Why it's wrong here

    Read scale-out does not improve write performance.

  • Enable Accelerated Database Recovery

    Why this is correct

    Accelerated Database Recovery reduces log amplification and improves write performance.

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