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

You are responsible for a set of Azure SQL Databases that are used by different departments in your organization. The databases are deployed in an elastic pool with Standard tier (eDTU 200). Usage patterns show that the marketing database uses high CPU during the day, while the sales database uses high IO at night. You want to optimize costs while ensuring each database gets the resources it needs. What should you do?

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

Configure minimum and maximum eDTU per database in the pool

Configuring minimum and maximum eDTU per database within the elastic pool guarantees that each database gets the resources it needs during peak usage (e.g., high CPU for marketing during the day, high IO for sales at night) while still sharing the pool's overall eDTU, optimizing costs. Option B is incorrect because moving to a vCore-based pool does not inherently address resource contention; it's a different purchasing model. Option C is incorrect because adding more databases to the pool increases contention and may degrade performance. Option D is incorrect because moving each database to a standalone DTU tier would likely increase costs and eliminate the benefits of pooling.

Answer analysis

Option-by-option breakdown

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

  • Configure minimum and maximum eDTU per database in the pool

    Why this is correct

    Guarantees resources per database while sharing.

  • Migrate the pool to a vCore-based elastic pool

    Why it's wrong here

    Does not address resource allocation per database.

  • Add more databases to the pool to spread the load

    Why it's wrong here

    Increases contention.

  • Move each database to a standalone DTU tier

    Why it's wrong here

    Increases cost; no sharing.

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