Question 312 of 919
DP-300 Practice Question: Monitor, configure, and optimize database resources
Your Azure SQL Database is configured with the Hyperscale service tier. You observe that log write latency is consistently high, affecting transaction throughput. What is the most likely cause and the recommended mitigation?
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
✓
High log generation rate is causing log rate governance throttling; reduce the log generation rate by batching transactions.
In Hyperscale, log rate is governed to protect secondary replicas; high latency indicates throttling. Option A is wrong because Hyperscale uses local SSD for log, not PIOPS. Option B is wrong because log rate governance affects all log writes. Option D is wrong because scaling up compute doesn't increase log throughput limits.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The log IOPS is limited by the disk performance; increase the provisioned IOPS.
Why it's wrong here
Hyperscale log is on local SSDs with fixed high performance; IOPS is not provisioned.
- ✗
The compute replica is undersized; scale up the compute to increase log throughput.
Why it's wrong here
Compute scaling does not increase log throughput limits.
- ✓
High log generation rate is causing log rate governance throttling; reduce the log generation rate by batching transactions.
Why this is correct
Log rate governance throttles to protect secondary replicas; reducing log generation mitigates.
- ✗
The log write latency is due to network congestion; move the database to a different region.
Why it's wrong here
Network latency is not the primary cause for log writes in Hyperscale.
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Last reviewed: Jun 21, 2026
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