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 a data engineer at Northwind Traders. You have an Azure Synapse Analytics workspace with dedicated SQL pools. You need to monitor query performance to identify slow-running queries and understand resource consumption. The solution must provide historical data for the last 30 days and allow alerting when queries exceed a certain duration. You also need to export the data to a Log Analytics workspace for correlation with other metrics. What should you use?
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
✓
Enable Diagnostic Settings to stream SQL pool metrics and logs to a Log Analytics workspace, then create alert rules and use KQL queries for historical analysis.
Enabling Diagnostic Settings for the dedicated SQL pool to stream logs and metrics to Log Analytics allows historical data retention (up to 30 days or more) and enables alerting and KQL queries. Option A is incorrect: DMVs provide current state, not historical data for 30 days. Option B is incorrect: Azure Storage Analytics is for storage accounts, not Synapse SQL. Option D is incorrect: Query Store is for SQL Server, not for monitoring resource consumption and doesn't integrate with Log Analytics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable Diagnostic Settings for the dedicated SQL pool to send logs to Azure Storage, and query DMVs for historical data.
Why it's wrong here
DMVs don't retain 30 days of history.
- ✗
Use Azure Storage Analytics to analyze logs from the storage account backing the SQL pool.
Why it's wrong here
Storage Analytics is for storage logs, not SQL.
- ✓
Enable Diagnostic Settings to stream SQL pool metrics and logs to a Log Analytics workspace, then create alert rules and use KQL queries for historical analysis.
Why this is correct
Provides historical data and alerting.
- ✗
Configure SQL Server Query Store and export data to Azure Blob Storage using elastic query.
Why it's wrong here
Query Store does not integrate with Log Analytics.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DP-203 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-203 exam.