The answer is creating a custom metric alert based on a KQL query. This is correct because Azure Monitor and SQL Insights integrate diagnostic settings to stream Azure SQL Database metrics and resource logs—such as query store runtime statistics and wait statistics—into a Log Analytics workspace, enabling you to build and alert on custom KQL queries for deep performance analysis. On the DP-300 exam, this scenario tests your understanding of how to move beyond basic metric thresholds to leverage log-based alerting for complex conditions, often appearing as a distractor where you must distinguish between streaming logs to a workspace versus simply enabling standard metrics. A common trap is assuming all alerts must use predefined metrics, but the key is that SQL Insights unlocks custom log alerts. Memory tip: think “KQL = Custom Control” — if you need a specific performance pattern, you write a KQL query, not a static metric.
DP-300 Configure and manage automation of tasks Practice Question
This DP-300 practice question tests your understanding of configure and manage automation of tasks. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
You need to automate monitoring and alerting for an Azure SQL Database. Which THREE actions can you achieve using Azure Monitor and SQL Insights?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Stream diagnostic logs to a Log Analytics workspace.
Option C is correct because Azure Monitor and SQL Insights allow you to configure diagnostic settings to stream SQL Database metrics and resource logs (e.g., query store runtime statistics, wait statistics) to a Log Analytics workspace. This enables centralized log analysis, custom KQL queries, and long-term retention for auditing and troubleshooting.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Automatically rebuild fragmented indexes.
Why it's wrong here
Index rebuilding is not an Azure Monitor feature.
✗
Automatically scale the database to a higher service tier.
Why it's wrong here
Auto-scaling is not available through Azure Monitor; it requires autoscale settings.
✓
Stream diagnostic logs to a Log Analytics workspace.
Why this is correct
Diagnostic settings allow log streaming.
Related concept
Read the scenario before looking for a memorised answer.
✓
Set up an alert when DTU consumption exceeds 80% for 5 minutes.
Why this is correct
Azure Monitor can alert on performance metrics.
Related concept
Read the scenario before looking for a memorised answer.
✓
Create a custom metric alert based on a KQL query.
Why this is correct
Custom log searches can be used for alerts.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse monitoring and alerting capabilities (Azure Monitor/SQL Insights) with automated remediation actions (like index rebuilds or auto-scaling), which are separate Azure services or manual tasks.
Detailed technical explanation
How to think about this question
Azure Monitor's diagnostic settings use the Azure Diagnostics extension to collect SQL Insights data (e.g., DTU/CPU consumption, deadlocks) and route it to Log Analytics, Event Hubs, or storage. The KQL-based metric alert in Option E leverages the 'Azure Metrics' data source or log search alerts on Log Analytics tables like 'AzureDiagnostics' or 'SQLInsightsMetrics', allowing threshold-based alerts on custom queries that aggregate over time windows.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-300 question in full detail.
Configure and manage automation of tasks — This question tests Configure and manage automation of tasks — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Stream diagnostic logs to a Log Analytics workspace. — Option C is correct because Azure Monitor and SQL Insights allow you to configure diagnostic settings to stream SQL Database metrics and resource logs (e.g., query store runtime statistics, wait statistics) to a Log Analytics workspace. This enables centralized log analysis, custom KQL queries, and long-term retention for auditing and troubleshooting.
What should I do if I get this DP-300 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which THREE components are required to set up automated monitoring and alerting for an Azure SQL Database using Azure Monitor?
hard
✓ A.Diagnostic setting for the database
✓ B.Log Analytics workspace
C.Azure Automation account
D.SQL Agent Job
✓ E.Alert rule with action group
Why A: Options B, C, and D are correct. A Log Analytics workspace is needed for storing and querying metrics and logs. A diagnostic setting sends logs and metrics to the workspace. An alert rule defines conditions and actions. Option A is wrong because a SQL Agent Job is not required. Option E is wrong because Azure Automation is not required.
Last reviewed: Jun 11, 2026
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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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