Quick Answer
The answer is Autoscale settings, which are the correct Azure feature to configure for scaling a virtual machine scale set based on CPU thresholds. Autoscale settings allow you to define scale-out and scale-in rules using performance metrics like average CPU percentage, enabling the VMSS to increase its instance count when CPU exceeds 75 percent and decrease when it stays below 30 percent. On the AZ-104 exam, this tests your understanding of scaling policies under the "Configure and manage virtual machine scale sets" objective, often appearing in scenario-based questions where you must distinguish Autoscale from manual scaling or Availability Zones. A common trap is confusing Autoscale settings with VMSS upgrade policies or instance health monitoring—remember that Autoscale rules are metric-driven, not event-driven. Memory tip: think "CPU triggers count"—when CPU is hot (above 75%), scale out; when cool (below 30%), scale in.
This AZ-104 practice question tests your understanding of deploy and manage azure compute. 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.
A virtual machine scale set must increase instance count when average CPU exceeds 75 percent and decrease when it stays below 30 percent. What Azure feature should you configure?
Availability zones
Why wrong: Availability zones improve resiliency but do not adjust instance count based on CPU.
Autoscale settings
Autoscale handles metric-based scale-out and scale-in for a VM scale set.
Azure Policy
Why wrong: Azure Policy enforces governance rules, not runtime scaling actions.
Update management
Why wrong: Update management coordinates patching and not autoscaling.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Autoscale settings
Autoscale settings are the correct feature because they allow you to define scale-out and scale-in rules based on performance metrics like average CPU percentage. In this scenario, you would configure a scale-out rule to increase the instance count when average CPU exceeds 75% and a scale-in rule to decrease it when CPU stays below 30%.
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.
Availability zones
Why it's wrong here
Availability zones improve resiliency but do not adjust instance count based on CPU.
Autoscale settings
Azure Policy
Why it's wrong here
Azure Policy enforces governance rules, not runtime scaling actions.
Update management
Why it's wrong here
Update management coordinates patching and not autoscaling.
Common exam traps
The trap here is that candidates may confuse Autoscale with Availability zones, thinking that distributing instances across zones automatically handles scaling, but zones only provide redundancy, not dynamic capacity adjustment based on load.
Detailed technical explanation
Autoscale uses Azure Monitor metrics and can apply both default and custom scale conditions, with cooldown periods (e.g., 5-10 minutes) to prevent flapping. The scale-out rule triggers when the average CPU exceeds the threshold for a specified duration (e.g., 5 minutes), while the scale-in rule requires the metric to stay below the threshold for a longer period to avoid premature reduction. In production, you might also configure instance limits (min/max) and email notifications for scale events.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Deploy and Manage Azure Compute — This question tests Deploy and Manage Azure Compute — Read the scenario before looking for a memorised answer..
The correct answer is: Autoscale settings — Autoscale settings are the correct feature because they allow you to define scale-out and scale-in rules based on performance metrics like average CPU percentage. In this scenario, you would configure a scale-out rule to increase the instance count when average CPU exceeds 75% and a scale-in rule to decrease it when CPU stays below 30%.
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 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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