Question 100 of 999

Quick Answer

The answer is Azure Monitor metric alerts. This is the correct choice because metric alerts evaluate performance counters like CPU usage at regular intervals and can trigger an action group when a threshold—such as 90%—is breached for a specified duration of five minutes. The action group then invokes an Automation runbook, enabling automatic scaling of your application without manual intervention. On the AZ-305 exam, this scenario tests your understanding of integrating monitoring with automated remediation, a key design principle for resilient solutions. A common trap is confusing metric alerts with log alerts or activity log alerts; remember that metric alerts are optimized for real-time, numerical thresholds on resource metrics, while log alerts query log data and are slower. For this specific need—trigger runbook on high CPU metric alert—metric alerts are the direct, low-latency path. Memory tip: think “metric = numbers, runbook = automation,” so metric alerts plus action groups equal automated scaling.

AZ-305 Practice Question: Design identity, governance, and monitoring solutions

This AZ-305 practice question tests your understanding of design identity, governance, and monitoring solutions. 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.

Your Azure subscription contains multiple virtual machines (VMs) that run a line-of-business application. You need to configure alerts when the CPU usage exceeds 90% for more than 5 minutes. Additionally, the alert must automatically trigger a runbook to scale out the application. Which Azure service should you use to create this alert?

Question 1hardmultiple choice
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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

Azure Monitor metric alert

Azure Monitor metric alerts can evaluate resource metrics like CPU usage at a specified frequency and trigger actions when a threshold (e.g., 90%) is breached for a given duration (e.g., 5 minutes). The alert can invoke an Automation runbook via an action group, enabling automatic scaling of the application. This is the correct service because it directly supports metric-based alerting with multi-condition evaluation and action group integration.

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.

  • Azure Automation

    Why it's wrong here

    Automation runs runbooks but does not create alerts.

  • Azure Logic Apps

    Why it's wrong here

    Logic Apps can be triggered by alerts, but the alert itself is created in Azure Monitor.

  • Azure Monitor metric alert

    Why this is correct

    Metric alerts can trigger action groups that include runbooks.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Azure Autoscale

    Why it's wrong here

    Autoscale automatically adjusts resources but does not trigger custom runbooks.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse Azure Monitor metric alerts with Azure Autoscale, assuming Autoscale can both alert and trigger runbooks, when in fact Autoscale only performs scaling actions based on its own rules and does not generate alerts or invoke runbooks.

Detailed technical explanation

How to think about this question

Azure Monitor metric alerts use a multi-dimensional metric signal with a threshold rule (e.g., 'greater than 90') and an evaluation window (e.g., 5 minutes of 'Total' aggregation). Under the hood, the alert fires when the time series violates the threshold for the specified 'evaluation frequency' and 'window size', and it can trigger an action group that invokes a webhook, Azure Function, or Automation runbook. In real-world scenarios, this pattern is used for proactive auto-scaling where a runbook performs custom logic (e.g., adding VMs to a load balancer) before the metric triggers a native Autoscale rule.

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

An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this AZ-305 question test?

Design identity, governance, and monitoring solutions — This question tests Design identity, governance, and monitoring solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Azure Monitor metric alert — Azure Monitor metric alerts can evaluate resource metrics like CPU usage at a specified frequency and trigger actions when a threshold (e.g., 90%) is breached for a given duration (e.g., 5 minutes). The alert can invoke an Automation runbook via an action group, enabling automatic scaling of the application. This is the correct service because it directly supports metric-based alerting with multi-condition evaluation and action group integration.

What should I do if I get this AZ-305 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.

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Last reviewed: Jun 24, 2026

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This AZ-305 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-305 exam.