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
Your company uses Azure Synapse Analytics serverless SQL pool to query data in Azure Data Lake Storage Gen2. You need to monitor query performance and identify queries that are consuming excessive resources. Which Azure tool 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
✓
Synapse Studio monitoring hub.
Synapse Studio monitoring hub provides built-in dashboards for serverless SQL pool queries, showing execution details, resource consumption, and query performance. This is the most direct and integrated tool for monitoring serverless SQL pool queries in Azure Synapse Analytics. Azure Monitor Metrics provides pool-level metrics but not query-level details. Azure Log Analytics can be used with diagnostic settings to analyze logs, but it requires additional configuration and is not the primary tool for ad-hoc query monitoring. SQL Server Management Studio Query Performance Insight is designed for dedicated SQL pools, not serverless.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure Monitor Metrics for the serverless SQL pool.
Why it's wrong here
Metrics are limited to aggregate resource usage.
- ✓
Synapse Studio monitoring hub.
Why this is correct
Synapse Studio provides detailed monitoring for serverless SQL pool.
- ✗
Azure Log Analytics queries against diagnostic logs.
Why it's wrong here
Logs can be used but require setup.
- ✗
SQL Server Management Studio Query Performance Insight.
Why it's wrong here
Only available for dedicated SQL pool.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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JA
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.