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DP-300 Plan and implement data platform resources Practice Question

Your Azure SQL Managed Instance is experiencing performance degradation. You suspect a query plan regression caused by parameter-sensitive plan issues. Which feature should you use to identify and resolve the issue?

⚠ Common exam trap

Many exam-takers confuse Intelligent Insights or Automatic tuning as the solution for plan regression, but these features do not provide the ability to manually force a specific plan, which is required for parameter-sensitive plan issues where you need to pin a known good plan.

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

✓

Query Store with Query Store Hints

Query Store with Query Store Hints is the correct feature because it allows you to identify parameter-sensitive plan regression by analyzing historical execution plans stored in Query Store, and then force a specific plan using a hint without changing application code. This directly addresses the root cause of parameter-sensitive plan issues, where different parameter values lead to suboptimal cached plans.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Intelligent Insights

    Why it's wrong here

    Intelligent Insights uses telemetry to detect and diagnose performance regressions automatically, but it does not identify or resolve parameter-sensitive plan issues; Query Store with forced plans does. It is tempting because it does surface performance degradation alerts, but it is the right choice only for general diagnosis, not parameter sniffing remediation.

  • ✗

    Automatic tuning

    Why it's wrong here

    Automatic tuning applies plan forcing and index recommendations, but it does not specifically detect parameter-sensitive plan issues; Query Store captures the plans needed to identify and force a stable one. It is tempting because it does remediate plan regressions automatically, but it is the correct choice only when the regression is already identified.

  • ✓

    Query Store with Query Store Hints

    Why this is correct

    Query Store captures execution plans and runtime statistics, exposing regressed plans for a specific query. Query Store Hints then force a known-good plan without code changes, directly resolving parameter-sensitive plan regression on the Managed Instance.

  • ✗

    Database Advisor

    Why it's wrong here

    Database Advisor surfaces index and parameterisation recommendations from workload analysis, but it does not capture the per-query plan history needed to pinpoint parameter-sensitive regressions; Query Store does. It is tempting because it does offer tuning guidance, but it is the right choice only for broad recommendation review, not plan-level diagnosis.

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