Quick Answer
The answer is the Log write latency metric. This metric directly measures the time taken for log records to be written to the storage subsystem, which is the precise indicator of log write performance. When users report slow queries during peak hours on a General Purpose tier Azure SQL Database, high log write latency often causes transaction commit delays, as every data modification must be hardened to the transaction log before the transaction is acknowledged. On the Microsoft Azure Database Administrator Associate DP-300 exam, this question tests your ability to distinguish between log-specific and general storage metrics. A common trap is choosing Average IO latency, which combines data and log file performance, or Log IO percent, which measures throughput rather than delay. Remember the memory tip: "Latency is about time, percent is about capacity." If you need to check log write latency, always look for the metric that explicitly contains "log write latency" in Azure Monitor.
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 administer an Azure SQL Database that uses the General Purpose tier. Users report that queries are slow during peak hours. You need to identify if the slow performance is due to log write latency. Which metric should you examine in Azure Monitor?
Log IO percent
Why wrong: Measures log throughput.
Transaction log usage
Why wrong: Measures log space used.
Average IO latency
Why wrong: Combines data and log latency.
Log write latency
Measures log write time.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Log write latency
Option C is correct because 'Log write latency' directly measures the time to write to the log. Option A is wrong because 'Average IO latency' includes data and log. Option B is wrong because 'Log IO percent' measures log throughput, not latency. Option D is wrong because 'Transaction log usage' measures log file space used.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Log IO percent
Why it's wrong here
Measures log throughput.
Transaction log usage
Why it's wrong here
Measures log space used.
Average IO latency
Why it's wrong here
Combines data and log latency.
Log write latency
Why this is correct
Measures log write time.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
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
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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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FAQ
Monitor, configure, and optimize database resources — This question tests Monitor, configure, and optimize database resources — Read the scenario before looking for a memorised answer..
The correct answer is: Log write latency — Option C is correct because 'Log write latency' directly measures the time to write to the log. Option A is wrong because 'Average IO latency' includes data and log. Option B is wrong because 'Log IO percent' measures log throughput, not latency. Option D is wrong because 'Transaction log usage' measures log file space used.
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.
Read the scenario before looking for a memorised answer.
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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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