DP-300 Practice Question: Monitor, configure, and optimize database resources
You are monitoring an Azure SQL Database. You need to identify which two metrics are most important for detecting a memory pressure issue. Which TWO should you select?
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
✓
Memory grants pending
Memory grants pending indicates queries that are waiting for memory grants, which is a direct sign of memory pressure. Page life expectancy (PLE) measures how long pages remain in the buffer pool; a low PLE suggests that pages are being evicted frequently due to memory pressure. Therefore, both B and C are the best metrics to detect memory pressure. CPU percentage (D) indicates CPU pressure, and Data IO percentage (E) indicates I/O pressure, not memory pressure. Log IO percentage (A) relates to log write activity, not memory. Hence, the correct choices are B and C.
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 percentage
Why it's wrong here
Log IO percentage indicates log write pressure.
- ✓
Memory grants pending
Why this is correct
High pending grants indicate memory pressure.
- ✓
Page life expectancy
Why this is correct
Low PLE indicates memory pressure.
- ✗
CPU percentage
Why it's wrong here
CPU percentage indicates CPU pressure.
- ✗
Data IO percentage
Why it's wrong here
Data IO percentage indicates I/O pressure.
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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