Question 700 of 919
DP-300 Practice Question: Monitor, configure, and optimize database resources
You have an Azure SQL Database that uses the Hyperscale service tier. You notice that the log rate is consistently high. You need to reduce the log write latency. What should you do?
⚠ Common exam trap
Many exam-takers confuse log write latency with data I/O latency and incorrectly choose data compression or ADR, not realizing that the Hyperscale tier has a dedicated log rate limit setting that directly controls log write performance.
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
✓
Increase the log rate limit in the Hyperscale service tier
In the Hyperscale service tier, log write latency is directly influenced by the log rate limit. Increasing this limit allocates more I/O bandwidth to the log write path, reducing latency under high log generation. This is the correct action because the log rate limit is a configurable parameter in Hyperscale that controls how fast log records can be written to the log service.
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 data compression on the tables
Why it's wrong here
Data compression does not affect log writes.
- ✓
Increase the log rate limit in the Hyperscale service tier
Why this is correct
Increasing log rate limit improves log write throughput.
- ✗
Enable Accelerated Database Recovery
Why it's wrong here
Accelerated Database Recovery reduces recovery time, not log write latency.
- ✗
Change the service tier to General Purpose
Why it's wrong here
General Purpose has lower log throughput, increasing latency.
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Last reviewed: Jul 4, 2026
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