Secure, monitor, and optimize data storage and data processing →mediumMultiple ChoiceObjective-mapped
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
You are designing a solution to monitor the performance of Azure Synapse Analytics dedicated SQL pools. You need to identify queries that are consuming more than 100 GB of memory and have been running for more than 30 minutes. Which DMV should you query?
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
✓
sys.dm_pdw_exec_requests
Sys.dm_pdw_exec_requests, is correct because it provides detailed information about active or recently completed queries, including memory consumption (estimated_memory_kb) and duration (start_time, total_elapsed_time). You can filter this DMV to find queries with memory > 100 GB and runtime > 30 minutes. Option A (sys.dm_pdw_resource_waits) shows resource wait statistics, not memory usage. Option B (sys.dm_pdw_nodes) provides node-level information, not query details. Option D (sys.dm_pdw_waits) shows wait types for queries, not memory or duration.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
sys.dm_pdw_resource_waits
Why it's wrong here
Shows resource wait statistics, not memory per query.
- ✗
sys.dm_pdw_nodes
Why it's wrong here
Shows node-level information, not query memory.
- ✓
sys.dm_pdw_exec_requests
Why this is correct
Contains memory and duration columns for queries.
- ✗
sys.dm_pdw_waits
Why it's wrong here
Shows wait types, not query memory consumption.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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