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DP-203 Practice Question: Match each performance optimization technique to…

Match each performance optimization technique to its description.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

Dividing data into smaller manageable segments

Creating structures to speed up data retrieval

Pre-computed and stored query results

Column-based storage for analytics queries

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

Columnstore Indexes: Improves query performance by storing data in columnar format, allowing better compression and faster scanning.

Correct matches: Columnstore indexes improve scan performance via columnar storage; partition switching enables fast data segment movement; materialized views pre-compute aggregations; result set caching caches query results. Common confusions include swapping partition switching with columnstore indexes or materialized views with result set caching.

Answer analysis

Option-by-option breakdown

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

  • Columnstore Indexes: Improves query performance by storing data in columnar format, allowing better compression and faster scanning.

    Why this is correct

    Columnstore indexes store data in columnar format, improving compression and scan performance for analytical queries.

  • Partition Switching: Enables fast loading and removal of large data segments by moving entire partitions between tables without data movement.

    Why this is correct

    Partition switching allows efficient data loading and archiving by moving whole partitions, avoiding costly data movement.

  • Materialized Views: Pre-computed and stored views that improve performance of complex aggregations by reducing recomputation.

    Why this is correct

    Materialized views store pre-computed results, speeding up aggregations and complex queries.

  • Result Set Caching: Stores query results in cache to reuse for repeated queries, reducing computation time.

    Why this is correct

    Result set caching caches query results so identical queries can be served from cache, reducing compute overhead.

  • Columnstore Indexes: Enables fast loading and removal of large data segments.

    Why it's wrong here

    Incorrect — this definition describes partition switching, not columnstore indexes.

  • Materialized Views: Stores query results in cache to reuse for repeated queries.

    Why it's wrong here

    Incorrect — this definition describes result set caching, not materialized views.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.