DP-300 Practice Question: Monitor, configure, and optimize database resources
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?
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
✓
Log write latency
The correct metric to examine is Log write latency (option D), as it directly measures the time taken to write to the transaction log, which can indicate slow performance due to log write latency. Option A (Log IO percent) measures the percentage of log throughput used, not latency. Option B (Transaction log usage) measures log file space used, not performance. Option C (Average IO latency) includes both data and log I/O, so it is not specific to log writes.
Answer analysis
Option-by-option breakdown
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.
Go deeper
Related to this question
Learn chapter
Overview of Azure Data Platform Options
Key term
Azure SQL Performance Tuning
Azure SQL Performance Tuning is the process of optimizing the speed and efficiency of queries and database operations in Microsoft Azure SQL Database or SQL Managed Instance to reduce latency and improve throughput.
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