DP-300 Practice Question: Monitor, configure, and optimize database resources
Which TWO metrics in Azure SQL Database indicate that the database might need to be scaled up?
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 write percent consistently above 90%
High DTU/CPU consumption (E) and high log write percent (C) both indicate that the database is approaching or hitting resource limits, suggesting a need to scale up. Options A, B, and D are incorrect because consistently low metrics (data IO, session percent, memory) indicate underutilization, not a need to scale up.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Data IO percentage consistently below 20%
Why it's wrong here
Low IO does not indicate need to scale up.
- ✗
Session percent consistently below 10%
Why it's wrong here
Low session count does not indicate need to scale up.
- ✓
Log write percent consistently above 90%
Why this is correct
High log write percent indicates the log rate is throttled.
- ✗
Memory consumption consistently below 30%
Why it's wrong here
Low memory indicates underutilization.
- ✓
DTU/CPU consumption consistently above 90%
Why this is correct
High CPU indicates need for more resources.
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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