- A
Avoid using clustered columnstore indexes on large tables.
Why wrong: Clustered columnstore indexes are recommended for large tables.
- B
Avoid data skew by choosing a good distribution key.
Data skew can degrade performance.
- C
Use round-robin distribution for all large fact tables.
Why wrong: Round-robin is for staging tables, not for large fact tables.
- D
Use replicated tables for small dimension tables (less than 1 GB).
Replicated tables eliminate data movement for joins.
- E
Use hash distribution on a column with high cardinality for large fact tables.
Hash distribution on high-cardinality columns ensures even distribution.
DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data storage. 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 THREE of the following are best practices for designing tables in a dedicated SQL pool in Azure Synapse Analytics?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Avoid data skew by choosing a good distribution key.
Option B is correct because a good distribution key minimizes data skew, ensuring that data is evenly distributed across all distributions. This prevents performance bottlenecks where some distributions handle a disproportionate amount of data or queries, which is critical for parallel processing in a dedicated SQL pool.
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.
- ✗
Avoid using clustered columnstore indexes on large tables.
Why it's wrong here
Clustered columnstore indexes are recommended for large tables.
- ✓
Avoid data skew by choosing a good distribution key.
Why this is correct
Data skew can degrade performance.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use round-robin distribution for all large fact tables.
Why it's wrong here
Round-robin is for staging tables, not for large fact tables.
- ✓
Use replicated tables for small dimension tables (less than 1 GB).
Why this is correct
Replicated tables eliminate data movement for joins.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Use hash distribution on a column with high cardinality for large fact tables.
Why this is correct
Hash distribution on high-cardinality columns ensures even distribution.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume clustered columnstore indexes are unsuitable for large tables due to memory constraints, but they are actually the default and recommended index type for fact tables in Synapse dedicated SQL pools.
Detailed technical explanation
How to think about this question
Hash distribution uses a hash function on the distribution column to assign rows to one of 60 distributions, and choosing a column with high cardinality (e.g., order ID) ensures even distribution, avoiding skew. Replicated tables (Option D) work by copying the entire table to each compute node, which is ideal for small dimension tables under 1 GB to eliminate data movement during joins. Under the hood, the dedicated SQL pool uses a Massively Parallel Processing (MPP) architecture where data movement across distributions is expensive, so minimizing it through proper distribution and replication is key.
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.
TExam Day Tips
- 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DP-203 question test?
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Avoid data skew by choosing a good distribution key. — Option B is correct because a good distribution key minimizes data skew, ensuring that data is evenly distributed across all distributions. This prevents performance bottlenecks where some distributions handle a disproportionate amount of data or queries, which is critical for parallel processing in a dedicated SQL pool.
What should I do if I get this DP-203 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 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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