The answer is to enable auto-resume and auto-pause on the serverless SQL pool endpoint. This is correct because Azure Synapse serverless SQL pools are inherently designed for auto-scaling—they automatically allocate compute resources based on query demand without requiring any manual scaling configuration. The auto-resume and auto-pause feature simply controls when the endpoint is active to manage costs, not to scale compute, but it is the only configurable option that influences resource availability in response to workload patterns. On the DP-203 exam, this question tests your understanding of the fundamental architectural difference between serverless and dedicated SQL pools: serverless pools scale transparently, while dedicated pools require explicit scaling actions. A common trap is confusing auto-pause/auto-resume with scaling, or assuming serverless pools need workload classification or cache management. Memory tip: think "serverless = serverless scaling"—you never configure scaling, you only configure when the server is "awake."
DP-203 Develop data processing Practice Question
This DP-203 practice question tests your understanding of develop data processing. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Your team is developing a data processing solution in Azure Synapse Analytics. You need to ensure that the solution can automatically scale compute resources based on workload demand for serverless SQL pools. Which feature should you configure?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable auto-resume and auto-pause on the serverless SQL pool endpoint
Option A is correct because serverless SQL pools automatically scale based on query demand without manual configuration. Option B is wrong because it's for dedicated SQL pools. Option C is wrong because serverless pools don't use explicit cache. Option D is wrong because serverless pools do not support workload classification.
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.
✗
Set a cache size for the serverless SQL pool
Why it's wrong here
Serverless pools use result set caching, not compute cache.
✗
Configure a dedicated SQL pool with auto-scaling
Why it's wrong here
Auto-scaling is for dedicated pools, not serverless.
✗
Use workload classification to assign resources
Why it's wrong here
Workload classification is for dedicated pools.
✓
Enable auto-resume and auto-pause on the serverless SQL pool endpoint
Read the scenario before looking for a memorised answer.
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: Enable auto-resume and auto-pause on the serverless SQL pool endpoint — Option A is correct because serverless SQL pools automatically scale based on query demand without manual configuration. Option B is wrong because it's for dedicated SQL pools. Option C is wrong because serverless pools don't use explicit cache. Option D is wrong because serverless pools do not support workload classification.
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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