- A
Increase the data warehouse service level (DWU).
Why wrong: Increasing DWU increases concurrency slots but does not directly optimize workload to reduce contention; it may also increase cost.
- B
Create workload groups with different importance levels.
Creating workload groups with different importance levels allows critical queries to be prioritized, reducing contention.
- C
Configure workload isolation to limit the amount of resources a workload group can use.
Configuring workload isolation limits the amount of resources a workload group can use, preventing resource-intensive queries from blocking others.
- D
Use workload classification to assign queries to appropriate workload groups.
Using workload classification assigns queries to appropriate workload groups based on criteria, helping to manage concurrency and reduce contention.
- E
Enable result-set caching for frequently executed queries.
Why wrong: Result-set caching does not affect concurrency slot usage; it only improves performance for repeated queries.
Reduce Concurrency Contention in Azure Synapse Dedicated SQL Pool
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 monitoring an Azure Synapse Analytics dedicated SQL pool and notice that some queries are experiencing high wait times due to concurrency slots being exhausted. You need to optimize the workload to reduce contention. Which three actions should you take? (Select three.)
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
Create workload groups with different importance levels.
Options B, C, and D are correct. Workload groups with different importance levels allow you to prioritize critical queries, reducing contention. Workload isolation limits resources for a group, preventing resource-intensive queries from blocking others. Workload classification routes queries to appropriate groups based on criteria. Option A is incorrect because increasing DWU increases concurrency slots but may raise costs. Option E is incorrect because result-set caching does not affect concurrency slot usage.
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.
- ✗
Increase the data warehouse service level (DWU).
Why it's wrong here
Increasing DWU increases concurrency slots but does not directly optimize workload to reduce contention; it may also increase cost.
- ✓
Create workload groups with different importance levels.
Why this is correct
Creating workload groups with different importance levels allows critical queries to be prioritized, reducing contention.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Configure workload isolation to limit the amount of resources a workload group can use.
Why this is correct
Configuring workload isolation limits the amount of resources a workload group can use, preventing resource-intensive queries from blocking others.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Use workload classification to assign queries to appropriate workload groups.
Why this is correct
Using workload classification assigns queries to appropriate workload groups based on criteria, helping to manage concurrency and reduce contention.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable result-set caching for frequently executed queries.
Why it's wrong here
Result-set caching does not affect concurrency slot usage; it only improves performance for repeated 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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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: Create workload groups with different importance levels. — Options B, C, and D are correct. Workload groups with different importance levels allow you to prioritize critical queries, reducing contention. Workload isolation limits resources for a group, preventing resource-intensive queries from blocking others. Workload classification routes queries to appropriate groups based on criteria. Option A is incorrect because increasing DWU increases concurrency slots but may raise costs. Option E is incorrect because result-set caching does not affect concurrency slot usage.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on DP-203
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You are monitoring an Azure Synapse Analytics dedicated SQL pool and notice that queries are experiencing excessive wait time due to concurrency slots being exhausted. What is the recommended approach to improve concurrency without increasing cost?
medium- A.Create additional workload groups and assign queries to them.
- ✓ B.Classify queries using workload classification and assign lower importance to reduce concurrency slot usage.
- C.Scale up the dedicated SQL pool to a higher service level.
- D.Change the distribution type of tables to round-robin.
Why B: Option B is correct. By classifying queries with workload classification and assigning lower importance to background or non-critical queries, those queries consume fewer concurrency slots, freeing slots for higher-priority queries without additional cost. Option A is incorrect because workload groups manage resources but do not directly reduce per-query concurrency slot usage; they allocate resources among groups but total concurrency slots remain fixed. Option C is incorrect because scaling up increases cost without necessarily improving concurrency efficiency. Option D is incorrect because table distribution type (e.g., round-robin) affects query performance and data movement, not concurrency slot consumption.
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Last reviewed: Jun 21, 2026
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