- A
Use hash-distributed tables with clustered columnstore indexes.
Why wrong: Hash distribution can cause skew if the distribution key is not uniform.
- B
Use hash-distributed tables with round-robin distribution and clustered columnstore indexes.
Round-robin distribution evenly distributes data, and columnstore indexes provide compression and performance.
- C
Use replicated tables with clustered indexes.
Why wrong: Replicated tables are suitable for small dimension tables, not large fact tables.
- D
Use heap tables with non-clustered indexes.
Why wrong: Heaps are for staging, not optimized for large fact tables.
Quick Answer
The answer is to use hash-distributed tables with round-robin distribution and clustered columnstore indexes. This combination directly addresses data skew by ensuring rows are evenly distributed across distributions, while the clustered columnstore index provides high compression and column-level scanning for large fact tables. On the DP-203 exam, this scenario tests your understanding of how distribution choices impact query performance under high concurrency—hash distribution alone can worsen skew if the distribution column is poorly selected, but round-robin forces an even spread, making it ideal for fact tables where no natural distribution key exists. A common trap is assuming hash-distributed clustered columnstore always solves skew, but the key insight is that round-robin distribution is the specific mechanism to eliminate skew when the data lacks a good hash key. Remember the memory tip: “Round-robin for even spin, hash for a key you’re in.”
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
This DP-203 practice question tests your understanding of secure, monitor, and optimize data storage and data processing. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
You are optimizing an Azure Synapse Analytics dedicated SQL pool. The pool experiences high concurrency and frequent data skew. Which indexing strategy should you recommend to improve query performance for large fact tables?
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
Use hash-distributed tables with round-robin distribution and clustered columnstore indexes.
Option B is correct because hash-distributed round-robin tables distribute data evenly, reducing skew. Option A is wrong because hash-distributed clustered columnstore may still have skew if the distribution column is poorly chosen. Option C is wrong because replicated tables are for small dimension tables. Option D is wrong because heap tables are for staging, not optimized for large fact tables.
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.
- ✗
Use hash-distributed tables with clustered columnstore indexes.
Why it's wrong here
Hash distribution can cause skew if the distribution key is not uniform.
- ✓
Use hash-distributed tables with round-robin distribution and clustered columnstore indexes.
Why this is correct
Round-robin distribution evenly distributes data, and columnstore indexes provide compression and performance.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use replicated tables with clustered indexes.
Why it's wrong here
Replicated tables are suitable for small dimension tables, not large fact tables.
- ✗
Use heap tables with non-clustered indexes.
Why it's wrong here
Heaps are for staging, not optimized for large fact tables.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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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Secure, monitor, and optimize data storage and data processing — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Secure, monitor, and optimize data storage and data processing — This question tests Secure, monitor, and optimize data storage and data processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use hash-distributed tables with round-robin distribution and clustered columnstore indexes. — Option B is correct because hash-distributed round-robin tables distribute data evenly, reducing skew. Option A is wrong because hash-distributed clustered columnstore may still have skew if the distribution column is poorly chosen. Option C is wrong because replicated tables are for small dimension tables. Option D is wrong because heap tables are for staging, not optimized for large fact tables.
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 21, 2026
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.
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