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

You are optimizing an Azure SQL Database that runs a heavy reporting workload. The database uses the General Purpose tier. You notice that many queries are scanning large tables. What is the best first action to improve performance?

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

Analyze the missing index recommendations from Query Store.

The best first action is to analyze the missing index recommendations from Query Store. Query Store tracks query performance and provides actionable index recommendations based on actual workload patterns. Partitioning (A) can help manage large tables but does not directly address scan issues caused by missing indexes. Scaling up to Business Critical (C) is costly and premature without first analyzing the workload. Columnstore indexes (D) are beneficial for analytical queries but should be implemented selectively based on query patterns, not as a blanket solution. Therefore, analyzing missing index recommendations is the optimal starting point for optimization.

Answer analysis

Option-by-option breakdown

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

  • Partition the large tables by date.

    Why it's wrong here

    Partitioning helps manageability, not scan performance.

  • Analyze the missing index recommendations from Query Store.

    Why this is correct

    Identifies specific indexes to reduce scans.

  • Scale up to Business Critical tier.

    Why it's wrong here

    Expensive and may not fix scan issue.

  • Implement columnstore indexes on all large tables.

    Why it's wrong here

    May not be appropriate for all workloads and could cause overhead.

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Written by Johnson Ajibi, MSc IT Security

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