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Quick Answer
The answer is creating diagnostic settings to stream resource logs from Azure SQL Database to a Log Analytics workspace for query-based analysis. This configuration is correct because it enables proactive monitoring and optimization of Azure resources by centralizing performance and diagnostic data, allowing you to run Kusto queries to identify bottlenecks, track query execution times, and detect resource contention before they impact users. On the AZ-104 exam, this scenario tests your understanding of how Azure Monitor and Log Analytics work together for deep, query-driven analysis, often appearing as a distractor against simpler metrics-based alerts. A common trap is choosing basic metric alerts alone, which lack the granular log data needed for root-cause analysis. Remember the memory tip: “Logs for long-term insight, metrics for real-time alerts”—diagnostic settings feed logs, not just metrics, into Log Analytics for that proactive edge.
AZ-104 Monitor and Maintain Azure Resources Practice Question
This AZ-104 practice question tests your understanding of monitor and maintain azure resources. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 are responsible for monitoring and maintaining Azure resources for a large enterprise. Which four of the following actions or configurations can help you proactively identify performance bottlenecks, optimize costs, and ensure high availability? (Choose four.)
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
✓
Configuring Azure Monitor autoscale rules to scale out virtual machine scale sets based on CPU usage.
Configuring Azure Monitor autoscale rules to scale out virtual machine scale sets based on CPU usage is correct because it proactively adjusts capacity in response to demand, preventing performance bottlenecks during spikes and reducing costs during low usage. This aligns with the goal of maintaining high availability and cost optimization through automated scaling.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse reactive recovery actions (like Backup Center restores) with proactive monitoring and optimization tasks, or misunderstand Traffic Manager's failover routing by assuming it reroutes away from a healthy endpoint instead of an unhealthy one.
Detailed technical explanation
How to think about this question
Azure Monitor autoscale uses metrics like CPU percentage or memory pressure to trigger scale-out events via the Azure Autoscale service, which evaluates rules every 1-5 minutes. In a real-world scenario, combining autoscale with predictive scaling (preview) can preemptively add instances based on historical patterns, reducing latency during flash crowds. The scale-out operation modifies the VMSS capacity property, and the new VMs are provisioned from the latest model definition.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Questions learners often ask
What does this AZ-104 question test?
Monitor and Maintain Azure Resources — This question tests Monitor and Maintain Azure Resources — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configuring Azure Monitor autoscale rules to scale out virtual machine scale sets based on CPU usage. — Configuring Azure Monitor autoscale rules to scale out virtual machine scale sets based on CPU usage is correct because it proactively adjusts capacity in response to demand, preventing performance bottlenecks during spikes and reducing costs during low usage. This aligns with the goal of maintaining high availability and cost optimization through automated scaling.
What should I do if I get this AZ-104 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 →
Last reviewed: Jun 11, 2026
This AZ-104 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 AZ-104 exam.
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