- A
Increase the log file size to allow better write performance.
Why wrong: Increasing the log file size can reduce auto-growth events but does not address the underlying IOPS/throughput limit; it may even increase write latency if the log is already large.
- B
The instance has insufficient CPU; scale up the managed instance.
Why wrong: While CPU can affect overall performance, the bottleneck is specifically log write latency, which is storage-related, not CPU-bound.
- C
The disk is not fast enough for random writes; switch to Ultra Disk.
Correct. Ultra Disk provides very low latency and high throughput for sequential writes, directly addressing the log write latency bottleneck.
- D
The log file is too large causing fragmentation; shrink it to reduce latency.
Why wrong: Incorrect. Shrinking the transaction log is discouraged because it fragments VLFs and degrades performance; the proper approach is to manage log size through regular log backups and appropriate sizing.
DP-300 Log write latency Practice Question
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. A key principle to apply: log write latency. 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 Azure SQL Managed Instance is experiencing high latency for write transactions. You have identified that log write latency is the bottleneck. The instance uses Premium SSD with 5000 IOPS and 200 MB/s throughput. You observe that the log file is 500 GB and has grown significantly. What is the most likely cause and solution?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
The disk is not fast enough for random writes; switch to Ultra Disk.
Option C is correct. For Azure SQL Managed Instance, log write latency is critical for transaction write performance. Premium SSD P30 with 5000 IOPS and 200 MB/s throughput may become a bottleneck under heavy write workloads. Switching to Azure Ultra Disk provides significantly lower latency and higher IOPS/throughput, which can reduce log write latency. Option D is incorrect because shrinking the transaction log does not improve performance and can cause severe fragmentation and performance degradation. Proper log backup scheduling is the correct method to manage log size.
Key principle: Log write latency
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 log file size to allow better write performance.
Why it's wrong here
Increasing the log file size can reduce auto-growth events but does not address the underlying IOPS/throughput limit; it may even increase write latency if the log is already large.
- ✗
The instance has insufficient CPU; scale up the managed instance.
Why it's wrong here
While CPU can affect overall performance, the bottleneck is specifically log write latency, which is storage-related, not CPU-bound.
- ✓
The disk is not fast enough for random writes; switch to Ultra Disk.
Why this is correct
Correct. Ultra Disk provides very low latency and high throughput for sequential writes, directly addressing the log write latency bottleneck.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Log write latency
- ✗
The log file is too large causing fragmentation; shrink it to reduce latency.
Why it's wrong here
Incorrect. Shrinking the transaction log is discouraged because it fragments VLFs and degrades performance; the proper approach is to manage log size through regular log backups and appropriate sizing.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many candidates mistakenly believe shrinking a large log file improves write performance, but it actually degrades it due to increased fragmentation.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Log write latency
- Azure Ultra Disk
- Transaction log fragmentation
- Log backup frequency
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
Log write latency
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.
Review log write latency, then practise related DP-300 questions on the same topic to reinforce the concept.
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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 — Log write latency.
What is the correct answer to this question?
The correct answer is: The disk is not fast enough for random writes; switch to Ultra Disk. — Option C is correct. For Azure SQL Managed Instance, log write latency is critical for transaction write performance. Premium SSD P30 with 5000 IOPS and 200 MB/s throughput may become a bottleneck under heavy write workloads. Switching to Azure Ultra Disk provides significantly lower latency and higher IOPS/throughput, which can reduce log write latency. Option D is incorrect because shrinking the transaction log does not improve performance and can cause severe fragmentation and performance degradation. Proper log backup scheduling is the correct method to manage log size.
What should I do if I get this DP-300 question wrong?
Review log write latency, then practise related DP-300 questions on the same topic to reinforce the concept.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Log write latency
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Last reviewed: Jun 21, 2026
This DP-300 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-300 exam.
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