- A
Availability zones
Why wrong: Availability zones improve resiliency but do not adjust instance count based on CPU.
- B
Autoscale settings
Autoscale handles metric-based scale-out and scale-in for a VM scale set.
- C
Azure Policy
Why wrong: Azure Policy enforces governance rules, not runtime scaling actions.
- D
Update management
Why wrong: Update management coordinates patching and not autoscaling.
Question 1,047 of 1,170
AZ-104 Deploy and Manage Azure Compute Practice Question
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?
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
✓
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
Option-by-option breakdown
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.
When this WOULD be correct
A question asks: 'You need to ensure that your virtual machine scale set remains available during a regional outage. Which feature should you configure?'
- ✓
Autoscale settings
- ✗
Azure Policy
Why it's wrong here
Azure Policy enforces governance rules, not runtime scaling actions.
When this WOULD be correct
An exam question asks: 'You need to ensure that all virtual machines in a subscription are deployed only in approved regions. Which Azure feature should you use?' In that case, Azure Policy would be correct to enforce location compliance.
- ✗
Update management
Why it's wrong here
Update management coordinates patching and not autoscaling.
When this WOULD be correct
A question asks: 'You need to ensure all VMs in a scale set are automatically patched with the latest security updates. Which Azure feature should you configure?' In that case, Update Management would be correct.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The AZ-104 exam frequently reuses these exact scenarios with slightly different constraints.
✓Autoscale settingsCorrect answer▾
Why this is correct
Autoscale handles metric-based scale-out and scale-in for a VM scale set.
✗Availability zonesWrong answer — click to see why▾
Why this is wrong here
Availability zones are used to protect applications and data from datacenter failures by distributing resources across multiple zones, not for scaling based on CPU metrics.
★ When this WOULD be the correct answer
A question asks: 'You need to ensure that your virtual machine scale set remains available during a regional outage. Which feature should you configure?'
Why candidates choose this
Candidates may confuse high availability features with autoscaling, thinking that distributing instances across zones also handles performance-based scaling.
✗Azure PolicyWrong answer — click to see why▾
Why this is wrong here
Azure Policy is used to enforce organizational standards and assess compliance, not to automatically scale resources based on performance metrics like CPU usage.
★ When this WOULD be the correct answer
An exam question asks: 'You need to ensure that all virtual machines in a subscription are deployed only in approved regions. Which Azure feature should you use?' In that case, Azure Policy would be correct to enforce location compliance.
Why candidates choose this
Candidates may confuse Azure Policy with autoscaling because both involve rules and conditions, but Policy focuses on governance, not dynamic scaling.
✗Update managementWrong answer — click to see why▾
Why this is wrong here
Update management in Azure (e.g., Azure Automation Update Management) is used to manage OS updates and patches for VMs, not to scale instances based on CPU metrics. Autoscale settings are required for scaling rules.
★ When this WOULD be the correct answer
A question asks: 'You need to ensure all VMs in a scale set are automatically patched with the latest security updates. Which Azure feature should you configure?' In that case, Update Management would be correct.
Why candidates choose this
Candidates may confuse 'update management' with scaling updates or think it can adjust instance counts, but it is solely for patching and compliance.
Analysis generated from the official AZ-104blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Common exam traps
Common exam trap: answer the scenario, not the keyword
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
How to think about this question
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.
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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Deploy and Manage Azure Compute — study guide chapter
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FAQ
Questions learners often ask
What does this AZ-104 question test?
Deploy and Manage Azure Compute — This question tests Deploy and Manage Azure Compute — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
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%.
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 →
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Last reviewed: Jun 11, 2026
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