Question 274 of 919
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 provides diagnostics but cannot force query plans.
- ✗
Automatic tuning
Why it's wrong here
Automatic tuning can resolve plan regression automatically, but it may not provide manual control to force a specific plan.
- ✓
Query Store with Query Store Hints
Why this is correct
Query Store tracks query performance and Query Store Hints allow forcing a specific plan to resolve regression.
- ✗
Database Advisor
Why it's wrong here
Database Advisor recommends index changes and schema modifications, not plan forcing.
Visual reference
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Last reviewed: Jun 24, 2026
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