- A
Enable result-set caching.
Why wrong: Result-set caching does not address memory usage of running queries.
- B
Increase the resource class for the users running the heavy queries.
Larger resource classes provide more memory per query.
- C
Scale up the DWU setting.
Why wrong: Scaling up increases overall resources but does not target specific query memory issues.
- D
Query the sys.dm_pdw_exec_requests DMV to identify queries with high memory grants.
This DMV provides information on memory grants per query.
- E
Rebuild clustered columnstore indexes.
Why wrong: Index rebuild does not directly affect query memory grants.
Quick Answer
The correct actions are to increase the resource class for users running heavy queries and to query the sys.dm_pdw_exec_requests DMV to identify queries with high memory grants. Increasing the resource class allocates more memory to those queries, directly reducing resource contention by ensuring they have sufficient memory to execute efficiently without starving concurrent workloads. Querying the DMV is the essential first step in memory optimization in Synapse SQL pool, as it pinpoints which queries are consuming excessive memory grants, allowing you to target tuning efforts. On the DP-203 exam, this scenario tests your understanding of dedicated SQL pool resource governance and dynamic management views—a common trap is confusing resource classes with workload groups, but remember that resource classes are simpler and directly control per-query memory limits. For a memory tip, think “DMV first, class second”: always diagnose with sys.dm_pdw_exec_requests before adjusting resource classes to avoid over-allocating memory.
DP-203 Practice Question: Monitor and optimize data storage and processing
This DP-203 practice question tests your understanding of monitor and optimize data storage and 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 for a data warehouse. They notice that some queries are using more memory than expected, causing resource contention. Which TWO actions should they take to diagnose and optimize memory usage?
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
Increase the resource class for the users running the heavy queries.
Option B is correct because increasing the resource class for users running heavy queries allocates more memory to those queries, reducing resource contention by ensuring they have sufficient memory to execute efficiently. Option D is correct because querying sys.dm_pdw_exec_requests DMV allows you to identify queries with high memory grants, which is the first step in diagnosing which queries are consuming excessive memory and need optimization.
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.
- ✗
Enable result-set caching.
Why it's wrong here
Result-set caching does not address memory usage of running queries.
- ✓
Increase the resource class for the users running the heavy queries.
Why this is correct
Larger resource classes provide more memory per query.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Scale up the DWU setting.
Why it's wrong here
Scaling up increases overall resources but does not target specific query memory issues.
- ✓
Query the sys.dm_pdw_exec_requests DMV to identify queries with high memory grants.
Why this is correct
This DMV provides information on memory grants per query.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Rebuild clustered columnstore indexes.
Why it's wrong here
Index rebuild does not directly affect query memory grants.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse scaling up the DWU (Option C) as a diagnostic action, but it is a reactive scaling measure that does not help identify which queries are causing the memory issue, whereas querying the DMV and adjusting resource classes are targeted diagnostic and optimization steps.
Detailed technical explanation
How to think about this question
In Azure Synapse dedicated SQL pool, memory grants are allocated per query based on the resource class and the query's estimated memory needs; queries with large memory grants can block other queries in the concurrency slot queue. The sys.dm_pdw_exec_requests DMV exposes the 'total_elapsed_time', 'command', and 'resource_class' columns, allowing you to pinpoint queries with excessive requested memory (e.g., those using xlargerc). Increasing the resource class (e.g., from smallrc to largerc) gives a query more memory but also reduces concurrency, so it must be balanced carefully.
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
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.
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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Monitor and optimize data storage and processing — study guide chapter
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FAQ
Questions learners often ask
What does this DP-203 question test?
Monitor and optimize data storage and processing — This question tests Monitor and optimize data storage and processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the resource class for the users running the heavy queries. — Option B is correct because increasing the resource class for users running heavy queries allocates more memory to those queries, reducing resource contention by ensuring they have sufficient memory to execute efficiently. Option D is correct because querying sys.dm_pdw_exec_requests DMV allows you to identify queries with high memory grants, which is the first step in diagnosing which queries are consuming excessive memory and need optimization.
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.
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
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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