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

Which THREE actions can you take to optimize query performance in Azure SQL Database using Intelligent Query Processing?

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

Enable adaptive joins

Adaptive joins (A), interleaved execution for multi-statement table-valued functions (B), and approximate count distinct (E) are all features of Intelligent Query Processing (IQP) in Azure SQL Database. They improve query performance by dynamically adjusting join strategies, avoiding suboptimal plans for MSTVFs, and efficiently handling COUNT(DISTINCT) queries. Query Store (C) is a monitoring and tuning feature but it is not part of IQP. Columnstore indexes (D) are a storage and indexing technique, not part of IQP.

Answer analysis

Option-by-option breakdown

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

  • Enable adaptive joins

    Why this is correct

    Part of IQP for dynamic join strategy selection.

  • Enable interleaved execution for MSTVFs

    Why this is correct

    Part of IQP for better plan quality.

  • Enable Query Store

    Why it's wrong here

    General monitoring feature, not IQP.

  • Enable columnstore indexes

    Why it's wrong here

    General performance feature, not part of IQP.

  • Use approximate count distinct

    Why this is correct

    Part of IQP for faster distinct counts.

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