DP-300 Practice Question: Monitor, configure, and optimize database resources
Your Azure SQL Database is configured with the Hyperscale service tier. You observe increased redo log latency. Which resource is most likely the bottleneck?
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 service throughput
In Hyperscale, the log service is a separate component that handles redo; high latency there directly affects redo speed. Option A is wrong because compute node CPU affects query processing, not redo latency specifically. Option C is wrong because page servers handle data reads, not redo. Option D is wrong because storage IO is distributed and rarely the bottleneck for redo in Hyperscale.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Compute node CPU
Why it's wrong here
Affects query performance but not redo latency directly.
- ✓
Log service throughput
Why this is correct
Log service is responsible for redo; latency there causes redo lag.
- ✗
Page server IO
Why it's wrong here
Page servers handle data reads, not redo.
- ✗
Remote storage IOPS
Why it's wrong here
Hyperscale storage is abstracted; redo is independent.
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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