Quick Answer
The answer is Azure SQL Analytics within Azure Monitor, because it is the only tool that provides built-in, out-of-the-box monitoring for elastic pool performance with a 30-day historical view of resource usage across CPU, DTU, and storage. This solution aggregates telemetry from all databases in the pool and allows you to drill down into individual database consumption, making it straightforward to identify which databases are resource-heavy over the past month. On the DP-300 exam, this question tests your understanding of Azure Monitor’s dedicated SQL analytics solution versus alternatives like dynamic management views or the Azure portal’s basic metrics blade, which lack the same historical depth and aggregated pool-level dashboards. A common trap is choosing the Azure portal’s elastic pool metrics pane, which only shows live or short-term data, not the full 30-day history. Memory tip: think “Analytics for Archives” — Azure SQL Analytics gives you the archive of the last 30 days, while other tools only show the now.
This DP-300 practice question tests your understanding of plan and implement data platform resources. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Your organization has multiple Azure SQL Databases in an elastic pool. You need to monitor the performance of the pool and identify which databases are consuming the most resources. You want to view historical resource usage for the past month. Which tool should you use?
Azure SQL Analytics (Azure Monitor)
Provides historical metrics for elastic pools and databases.
Azure portal metrics for the elastic pool
Why wrong: Limited historical data and not as detailed.
SQL Server Profiler
Why wrong: Not supported for Azure SQL Database.
Query Performance Insight
Why wrong: Focuses on query performance, not pool resource usage.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure SQL Analytics (Azure Monitor)
Azure SQL Analytics (Azure Monitor) is the correct tool because it provides built-in monitoring and alerting for elastic pools, including historical resource usage (CPU, DTU, storage) for up to 30 days. It aggregates data across all databases in the pool and allows you to drill down into individual database consumption, making it ideal for identifying top resource consumers over the past month.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure SQL Analytics (Azure Monitor)
Why this is correct
Provides historical metrics for elastic pools and databases.
Related concept
Read the scenario before looking for a memorised answer.
Azure portal metrics for the elastic pool
Why it's wrong here
Limited historical data and not as detailed.
SQL Server Profiler
Why it's wrong here
Not supported for Azure SQL Database.
Query Performance Insight
Why it's wrong here
Focuses on query performance, not pool resource usage.
Common exam traps
The trap here is that candidates often confuse Query Performance Insight (which is per-database and query-focused) with Azure SQL Analytics (which is pool-wide and resource-focused), leading them to choose D instead of A.
Detailed technical explanation
Azure SQL Analytics uses the Azure Monitor Log Analytics workspace to ingest diagnostic telemetry (e.g., AzureDiagnostics and AzureMetrics tables) from elastic pools and databases, enabling Kusto Query Language (KQL) queries for historical analysis. It retains data for up to 30 days by default (configurable to 730 days with additional cost), and its pre-built dashboards visualize metrics like DTU/CPU consumption, storage, and session counts per database. In a real-world scenario, this tool helps identify a runaway database that spikes DTU usage during off-peak hours, allowing proactive scaling or query tuning.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Plan and implement data platform resources — This question tests Plan and implement data platform resources — Read the scenario before looking for a memorised answer..
The correct answer is: Azure SQL Analytics (Azure Monitor) — Azure SQL Analytics (Azure Monitor) is the correct tool because it provides built-in monitoring and alerting for elastic pools, including historical resource usage (CPU, DTU, storage) for up to 30 days. It aggregates data across all databases in the pool and allows you to drill down into individual database consumption, making it ideal for identifying top resource consumers over the past month.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This DP-300 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-300 exam.
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