The correct actions are creating materialized views for common aggregations and using replicated tables for small dimension tables. Materialized views pre-compute and store aggregated results, dramatically reducing compute overhead during query execution, while replicated tables eliminate costly data movement by placing full copies of small dimension tables on each distribution node. On the DP-203 exam, this question tests your understanding of design-level optimizations versus scaling actions—a common trap is confusing increased DWU (a scaling action) with architectural improvements. Hash distribution on a high-cardinality column is actually beneficial for even data distribution, and round-robin distribution is suboptimal for star schemas because it forces excessive shuffling. Remember the mnemonic “Replicate and Materialize to Minimize Movement”—if your optimization doesn’t reduce data shuffling or pre-compute work, it’s likely a scaling action, not a design fix.
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.
Which TWO actions can you take to optimize query performance in Azure Synapse Analytics dedicated SQL pool?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use replicated tables for small dimension tables
Correct: A and D. Using replicated tables avoids data movement for small dimension tables, and materialized views pre-compute aggregations. B is wrong because hash distribution on a high-cardinality column is generally good. C is wrong because increasing DWU improves performance but is not a design optimization; it's a scaling action. E is wrong because round-robin distribution is not optimal for star schemas.
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 distribution on a low-cardinality column
Why it's wrong here
Low-cardinality columns can cause data skew; high-cardinality is better.
✗
Use round-robin distribution for fact tables
Why it's wrong here
Round-robin can cause high data movement; hash distribution is preferred.
✓
Use replicated tables for small dimension tables
Why this is correct
Replicated tables eliminate data shuffling for joins with fact tables.
Related concept
Read the scenario before looking for a memorised answer.
✓
Create materialized views for common aggregations
Why this is correct
Materialized views store pre-computed results, speeding up queries.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the DWU setting after every query
Why it's wrong here
This is a scaling action, not a design optimization.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
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.
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: Use replicated tables for small dimension tables — Correct: A and D. Using replicated tables avoids data movement for small dimension tables, and materialized views pre-compute aggregations. B is wrong because hash distribution on a high-cardinality column is generally good. C is wrong because increasing DWU improves performance but is not a design optimization; it's a scaling action. E is wrong because round-robin distribution is not optimal for star schemas.
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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Question Discussion
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