How to Stop Log Write Throttling in Azure SQL Hyperscale
You have an Azure SQL Database that uses the Hyperscale service tier. You notice that during peak hours, the log rate is throttled frequently. You need to reduce log write throttling. What should you do?
Quick Answer
The correct answer is to increase the service level objective (SLO) to a higher vCore count. In Azure SQL Database Hyperscale, log write throttling happens when the log generation rate exceeds the throughput capacity tied directly to the current SLO. Each vCore tier sets a specific log write throughput limit, so moving to a higher vCore count raises that limit and immediately reduces or eliminates throttling during peak hours. On the Microsoft Azure Database Administrator Associate DP-300 exam, this question tests your understanding of Hyperscale’s resource governance model—a common trap is thinking you should change the storage size or switch to a different service tier, but log rate limits are vCore-bound, not storage-bound. An easy memory tip: think “vCore for the throttle’s core”—the vCore count controls the log I/O bandwidth, so when your log write rate hits the ceiling, cranking up the vCore is the direct fix.
⚠ Common exam trap
Many exam-takers assume reducing transaction size (Option B) will reduce log rate, but in Hyperscale, frequent small commits increase log flush frequency and can actually trigger throttling due to the per-second log rate limit.
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 service level objective (SLO) to a higher vCore count.
In Azure SQL Database Hyperscale, log write throttling occurs when the log generation rate exceeds the throughput capacity of the current service level objective (SLO). Increasing the vCore count raises the log write throughput limit, directly alleviating throttling. This is the correct approach because Hyperscale log rate limits are tied to the SLO, and higher tiers provide higher log I/O bandwidth.
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 accelerated database recovery to reduce log generation.
Why it's wrong here
Already enabled in Hyperscale; does not reduce log generation.
- ✗
Reduce the size of individual transactions to commit more frequently.
Why it's wrong here
Smaller transactions increase commit frequency, worsening throttling.
- ✗
Partition large tables to spread log writes across files.
Why it's wrong here
Does not affect log rate limit.
- ✓
Increase the service level objective (SLO) to a higher vCore count.
Why this is correct
Higher SLO provides higher log rate limit.
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.
About these practice questions
Courseiva writes every DP-300 question from scratch — 906 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more way this is tested on DP-300
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. 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?
medium- A.Enable data compression on the tables
- ✓ B.Increase the log rate limit in the Hyperscale service tier
- C.Enable Accelerated Database Recovery
- D.Change the service tier to General Purpose
Why B: 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.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.