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, causing performance issues. Which metric should you monitor to identify the log generation rate?
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 IO percent
'Log IO percent' in Azure SQL Database reflects the log generation rate, which is critical for monitoring in the Hyperscale tier. Option B is incorrect because 'DTU used' is specific to DTU-based tiers, not Hyperscale. Option C is incorrect because 'CPU percent' measures processor usage, not log rate. Option D is incorrect because 'Data IO percent' measures data file I/O, not log I/O.
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 this is correct
Measures log generation rate.
- ✗
DTU used
Why it's wrong here
Not applicable to Hyperscale.
- ✗
CPU percent
Why it's wrong here
Measures processor usage.
- ✗
Data IO percent
Why it's wrong here
Measures data file I/O.
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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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.