- A
Columnstore Indexes: Improves query performance by storing data in columnar format, allowing better compression and faster scanning.
Columnstore indexes store data in columnar format, improving compression and scan performance for analytical queries.
- B
Partition Switching: Enables fast loading and removal of large data segments by moving entire partitions between tables without data movement.
Partition switching allows efficient data loading and archiving by moving whole partitions, avoiding costly data movement.
- C
Materialized Views: Pre-computed and stored views that improve performance of complex aggregations by reducing recomputation.
Materialized views store pre-computed results, speeding up aggregations and complex queries.
- D
Result Set Caching: Stores query results in cache to reuse for repeated queries, reducing computation time.
Result set caching caches query results so identical queries can be served from cache, reducing compute overhead.
- E
Columnstore Indexes: Enables fast loading and removal of large data segments.
Why wrong: Incorrect — this definition describes partition switching, not columnstore indexes.
- F
Materialized Views: Stores query results in cache to reuse for repeated queries.
Why wrong: Incorrect — this definition describes result set caching, not materialized views.
DP-203 Design and implement data security Practice Question
This DP-203 practice question tests your understanding of design and implement data security. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Match each performance optimization technique to its description.
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Design and implement data security — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Design and implement data security — This question tests Design and implement data security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this DP-203 question wrong?
Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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