DP-300 Practice Question: Monitor, configure, and optimize database resources
Which TWO metrics from sys.dm_db_resource_stats should you monitor to identify a disk IO bottleneck in an Azure SQL Database?
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
✓
avg_data_io_percent
Options C and E are correct. avg_data_io_percent measures data IO usage relative to the limit, and avg_log_write_percent measures log IO usage—both indicate disk IO bottlenecks. Option A (avg_cpu_percent) is CPU usage. Option B (max_size_percent) is storage space. Option D (avg_memory_usage_percent) is memory.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
avg_cpu_percent
Why it's wrong here
CPU metric
- ✗
max_size_percent
Why it's wrong here
Storage size metric
- ✓
avg_data_io_percent
Why this is correct
Data IO utilization
- ✗
avg_memory_usage_percent
Why it's wrong here
Memory metric
- ✓
avg_log_write_percent
Why this is correct
Log IO utilization
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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