Question 939 of 1,170
Deploy and Manage Azure ComputemediumMultiple ChoiceObjective-mapped

VMSS Autoscaling Based on CPU Demand

This AZ-104 practice question tests your understanding of deploy and manage azure compute. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 deploy 30 identical Azure virtual machines for a web application and scale the instance count automatically based on CPU demand. Which Azure compute feature should you use?

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

A Virtual Machine Scale Set

Virtual Machine Scale Sets (VMSS) are designed specifically to deploy and manage a group of identical, load-balanced VMs that can automatically scale in or out based on CPU demand or other metrics. This matches the requirement for 30 identical VMs and autoscaling, making B the correct choice.

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.

  • An availability set

    Why it's wrong here

    Availability sets improve resiliency but do not autoscale.

    When this WOULD be correct

    You need to ensure that two or more VMs hosting a critical application remain available during planned maintenance or hardware failures, without automatic scaling requirements.

  • A Virtual Machine Scale Set

    Why this is correct

    Scale Sets provide grouped deployment and autoscaling.

    Related concept

    Read the scenario before looking for a memorised answer.

  • A Recovery Services vault

    Why it's wrong here

    Recovery Services vaults are for backup and recovery.

    When this WOULD be correct

    A question asking how to protect Azure virtual machines by enabling backup and restore capabilities, or how to implement site recovery for failover, would have Recovery Services vault as the correct answer.

  • Boot diagnostics

    Why it's wrong here

    Boot diagnostics is for troubleshooting and not VM fleet scaling.

    When this WOULD be correct

    You need to enable serial console access or collect boot logs to diagnose why a specific Azure VM is failing to start. Boot diagnostics would be the correct feature to use.

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.

A Virtual Machine Scale SetCorrect answer

Why this is correct

Scale Sets provide grouped deployment and autoscaling.

An availability setWrong answer — click to see why

Why this is wrong here

An availability set provides high availability by distributing VMs across fault and update domains, but it does not support automatic scaling based on CPU demand.

★ When this WOULD be the correct answer

You need to ensure that two or more VMs hosting a critical application remain available during planned maintenance or hardware failures, without automatic scaling requirements.

Why candidates choose this

Candidates may confuse availability sets with scale sets, thinking both provide scaling capabilities, or they may focus on the 'deploy 30 identical VMs' part and overlook the scaling requirement.

A Recovery Services vaultWrong answer — click to see why

Why this is wrong here

A Recovery Services vault is used for backup and disaster recovery, not for deploying or scaling virtual machines. It does not provide automatic scaling based on CPU demand.

★ When this WOULD be the correct answer

A question asking how to protect Azure virtual machines by enabling backup and restore capabilities, or how to implement site recovery for failover, would have Recovery Services vault as the correct answer.

Why candidates choose this

Candidates may confuse 'Recovery' with 'scaling' or think it provides some form of resilience that includes scaling, but it is solely for backup and disaster recovery.

Boot diagnosticsWrong answer — click to see why

Why this is wrong here

Boot diagnostics provides troubleshooting information for VM boot failures, but it does not support deploying multiple VMs or autoscaling based on CPU demand.

★ When this WOULD be the correct answer

You need to enable serial console access or collect boot logs to diagnose why a specific Azure VM is failing to start. Boot diagnostics would be the correct feature to use.

Why candidates choose this

Candidates may confuse boot diagnostics with a feature that helps manage VM performance or scaling, or they might think it's related to initial deployment configuration.

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 often confuse availability sets (which provide high availability) with scale sets (which provide both high availability and autoscaling), leading them to pick A when the question explicitly requires automatic scaling based on demand.

Detailed technical explanation

How to think about this question

VMSS uses a scale-in and scale-out policy based on autoscale rules, which can be triggered by metrics like CPU percentage (e.g., >75% for 5 minutes triggers scale-out). Under the hood, VMSS leverages Azure Resource Manager templates and can integrate with Azure Load Balancer or Application Gateway for traffic distribution. A real-world scenario: a retail web app using VMSS to handle Black Friday traffic spikes by automatically adding instances when CPU exceeds 80% and removing them when it drops below 30%.

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.

Related practice questions

Related AZ-104 practice-question pages

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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: A Virtual Machine Scale Set — Virtual Machine Scale Sets (VMSS) are designed specifically to deploy and manage a group of identical, load-balanced VMs that can automatically scale in or out based on CPU demand or other metrics. This matches the requirement for 30 identical VMs and autoscaling, making B the correct choice.

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

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Same concept, more angles

2 more ways this is tested on AZ-104

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. A stateless web application must automatically add VM instances during business hours and remove them at night based on CPU usage. Which Azure service should be deployed?

easy
  • A.Virtual machine scale set
  • B.Availability set
  • C.Azure Bastion
  • D.Proximity placement group

Why A: Virtual Machine Scale Sets (VMSS) are designed to automatically scale the number of VM instances in or out based on metrics like CPU usage, and they support scheduled scaling to align with business hours. This makes them the correct choice for a stateless web application that needs to add instances during business hours and remove them at night, as VMSS can integrate with Azure Autoscale to adjust capacity based on both performance metrics and time schedules.

Variation 2. You need to deploy 25 identical Azure virtual machines for a web application and scale the number of instances automatically based on CPU demand. Which Azure compute feature should you use?

medium
  • A.An availability set
  • B.A Virtual Machine Scale Set
  • C.A Recovery Services vault
  • D.Boot diagnostics

Why B: A Virtual Machine Scale Set (VMSS) is the correct Azure compute feature because it allows you to deploy and manage a group of identical, load-balanced VMs whose number can automatically increase or decrease in response to CPU demand using autoscale rules. This directly meets the requirement for 25 identical VMs with automatic scaling based on CPU metrics.

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Last reviewed: Jun 11, 2026

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