- A
Keep round-robin distribution but increase the degree of parallelism.
Why wrong: Would require more resources, not just configuration change.
- B
Change the distribution to hash on multiple columns.
Why wrong: Hash distribution supports only one column.
- C
Change the distribution to hash on the column that is most frequently used in joins.
Hash distribution on a join key reduces data shuffling.
- D
Rebuild the table as a heap to improve insert performance.
Why wrong: Heaps are not optimized for analytical queries.
Quick Answer
The answer is to change the distribution to hash on the column most frequently used in joins. This is correct because hash distribution improves query performance on large fact tables by physically co-locating rows with the same join key on the same compute node, enabling parallel processing and drastically reducing data movement during query execution. On the Microsoft Azure Data Engineer Associate DP-203 exam, this scenario tests your understanding of distribution strategies in Azure Synapse Analytics dedicated SQL pools, where round-robin is a common trap for large fact tables—it spreads data evenly but forces expensive shuffles. A key memory tip is to think of hash distribution as “join-friendly” for large fact tables, while round-robin is best for staging or small lookup tables.
DP-203 Develop data processing Practice Question
This DP-203 practice question tests your understanding of develop 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.
A company uses Azure Synapse Analytics dedicated SQL pool. The data engineering team notices that queries against a large fact table are running slowly. The table uses round-robin distribution and has a columnstore index. The team wants to improve query performance without adding more resources. Which action should the team take?
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
Change the distribution to hash on the column that is most frequently used in joins.
Option B is correct because hash-distributing the fact table on a join key that is frequently used in queries allows parallel processing and reduces data movement, improving performance. Option A is incorrect because increasing distribution columns in a hash-distributed table is not supported. Option C is incorrect because round-robin is already used and is not optimal for large fact tables. Option D is incorrect because clustered columnstore is already in place; a heap would degrade performance.
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.
- ✗
Keep round-robin distribution but increase the degree of parallelism.
Why it's wrong here
Would require more resources, not just configuration change.
- ✗
Change the distribution to hash on multiple columns.
Why it's wrong here
Hash distribution supports only one column.
- ✓
Change the distribution to hash on the column that is most frequently used in joins.
Why this is correct
Hash distribution on a join key reduces data shuffling.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Rebuild the table as a heap to improve insert performance.
Why it's wrong here
Heaps are not optimized for analytical queries.
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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Develop data processing — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Change the distribution to hash on the column that is most frequently used in joins. — Option B is correct because hash-distributing the fact table on a join key that is frequently used in queries allows parallel processing and reduces data movement, improving performance. Option A is incorrect because increasing distribution columns in a hash-distributed table is not supported. Option C is incorrect because round-robin is already used and is not optimal for large fact tables. Option D is incorrect because clustered columnstore is already in place; a heap would degrade performance.
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
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