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

You are troubleshooting a performance issue in Azure SQL Database. You suspect that parameter sniffing is causing suboptimal query plans. What feature can you use to mitigate this without code changes?

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

Set the database to FORCE_PARAMETERIZATION = ON.

FORCE_PARAMETERIZATION = ON is a database-wide setting that forces parameterization of all ad-hoc queries, helping to mitigate parameter sniffing issues without requiring code changes. Option A (reorganizing indexes) addresses fragmentation, not parameter sniffing. Option B (Query Store plan forcing) is used to pin a specific plan after a regression, not to prevent sniffing proactively. Option C (OPTIMIZE FOR UNKNOWN) is a query hint that requires modifying query code, not a code-less solution.

Answer analysis

Option-by-option breakdown

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

  • Reorganize indexes regularly.

    Why it's wrong here

    Index maintenance does not address parameter sniffing.

  • Use Query Store to force a good plan.

    Why it's wrong here

    Plan forcing addresses a regression, not prevents sniffing.

  • Add OPTIMIZE FOR UNKNOWN query hint to all queries.

    Why it's wrong here

    This requires code changes and is per query.

  • Set the database to FORCE_PARAMETERIZATION = ON.

    Why this is correct

    Forces parameterization to reduce sniffing effects.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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