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

You are monitoring an Azure SQL Database that is running a mission-critical workload. You notice that the DTU consumption is consistently above 90% during peak hours. You need to recommend a solution to reduce the DTU consumption. What should you recommend?

⚠ Common exam trap

Test-takers frequently confuse high DTU consumption with a need for high availability or read scaling, but the correct response is to increase resource capacity via scaling up.

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

Scale up to a higher service tier or increase DTUs

When DTU consumption consistently exceeds 90%, the database is resource-constrained, leading to performance degradation. Scaling up to a higher service tier or increasing DTUs directly provides more CPU, memory, and I/O resources, alleviating the bottleneck and reducing DTU utilization percentage. This is the standard corrective action for sustained high DTU usage in Azure SQL Database.

Answer analysis

Option-by-option breakdown

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

  • Scale up to a higher service tier or increase DTUs

    Why this is correct

    Scaling up provides more resources, reducing DTU consumption percentage.

  • Scale down to a lower service tier

    Why it's wrong here

    Scaling down reduces resources, increasing DTU consumption percentage.

  • Enable geo-replication

    Why it's wrong here

    Geo-replication does not reduce DTU consumption on the primary.

  • Enable read scale-out

    Why it's wrong here

    Read scale-out offloads read workloads but does not reduce DTU consumption.

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Written by Johnson Ajibi, MSc IT Security

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