- A
Enable Query Store to identify costly queries.
Why wrong: Query Store monitors but does not automatically resolve resource shortages.
- B
Implement read scale-out to offload read queries.
Why wrong: Read scale-out does not increase DTU capacity; it only distributes read-only workloads.
- C
Configure automatic tuning to force plan regression fixes.
Why wrong: Automatic tuning addresses query plan issues, not DTU exhaustion.
- D
Scale up the database to a higher service tier (e.g., from S2 to S3).
Scaling up increases DTU limits, alleviating resource contention.
Quick Answer
The answer is to scale up the database to a higher service tier, such as moving from S2 to S3. This is correct because a DTU 100% bottleneck indicates that the database has exhausted its allocated resources, causing query timeouts as requests queue up; scaling to a higher tier increases the DTU limit, providing more CPU, memory, and I/O capacity to handle peak loads without manual intervention. On the Microsoft Azure Database Administrator Associate DP-300 exam, this scenario tests your understanding of resource governance versus monitoring tools—a common trap is confusing automatic tuning or Query Store (which diagnose or fix plan issues) with the need for more compute power. Remember the memory tip: “DTU at 100% means you need more juice, not a new plan to use.”
DP-300 Practice Question: Monitor, configure, and optimize database resources
This DP-300 practice question tests your understanding of monitor, configure, and optimize database resources. 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 manage an Azure SQL Database that runs a customer-facing application. You notice that during peak hours, the DTU consumption reaches 100% and queries experience timeouts. You need to ensure consistent performance without manual intervention. What should you implement?
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
Scale up the database to a higher service tier (e.g., from S2 to S3).
Option B is correct because scaling up the service tier to a higher DTU level provides more resources, reducing contention and timeouts. Option A is wrong because read scale-out only distributes read-only queries. Option C is wrong because Query Store is a monitoring tool, not a scaling solution. Option D is wrong because automatic tuning can help with plan regression but not resource shortage.
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 Query Store to identify costly queries.
Why it's wrong here
Query Store monitors but does not automatically resolve resource shortages.
- ✗
Implement read scale-out to offload read queries.
Why it's wrong here
Read scale-out does not increase DTU capacity; it only distributes read-only workloads.
- ✗
Configure automatic tuning to force plan regression fixes.
Why it's wrong here
Automatic tuning addresses query plan issues, not DTU exhaustion.
- ✓
Scale up the database to a higher service tier (e.g., from S2 to S3).
Why this is correct
Scaling up increases DTU limits, alleviating resource contention.
Related concept
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
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-300 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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Monitor, configure, and optimize database resources — study guide chapter
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FAQ
Questions learners often ask
What does this DP-300 question test?
Monitor, configure, and optimize database resources — This question tests Monitor, configure, and optimize database resources — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Scale up the database to a higher service tier (e.g., from S2 to S3). — Option B is correct because scaling up the service tier to a higher DTU level provides more resources, reducing contention and timeouts. Option A is wrong because read scale-out only distributes read-only queries. Option C is wrong because Query Store is a monitoring tool, not a scaling solution. Option D is wrong because automatic tuning can help with plan regression but not resource shortage.
What should I do if I get this DP-300 question wrong?
Identify which DP-300 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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Last reviewed: Jun 21, 2026
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