Question 876 of 1,170
Deploy and Manage Azure ComputeeasyMultiple ChoiceObjective-mapped

AZ-104 Deploy and Manage Azure Compute Practice Question

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.

A company hosts a stateless web application behind a load balancer. Traffic increases during the day and drops at night. The team wants Azure to automatically add or remove identical VM instances based on demand. What should the administrator deploy?

Question 1easymultiple 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

A virtual machine scale set

A virtual machine scale set (VMSS) is the correct choice because it automatically manages a group of identical, load-balanced VMs and can scale out (add VMs) or scale in (remove VMs) based on demand metrics like CPU usage or a schedule. This matches the requirement for a stateless web application with variable traffic, as VMSS integrates with Azure Load Balancer or Application Gateway and supports autoscale rules to handle daytime spikes and nighttime drops without manual intervention.

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.

  • A single large virtual machine

    Why it's wrong here

    A single VM can be resized, but it cannot automatically add more identical instances to handle changing traffic. It also creates a larger single point of failure. This does not meet the requirement for elastic scale-out and scale-in behavior.

  • A virtual machine scale set

    Why this is correct

    A virtual machine scale set is designed for deploying and managing multiple identical VMs as a group. It supports autoscaling rules so Azure can add or remove instances based on metrics such as CPU usage or scheduled demand. This is the best fit for a stateless web workload with changing traffic.

    Related concept

    Read the scenario before looking for a memorised answer.

  • An availability set

    Why it's wrong here

    An availability set improves VM placement for availability, but it does not automatically scale the number of instances. It helps with resilience, not elastic capacity management. You would still need to add or remove VMs manually.

  • A managed image

    Why it's wrong here

    A managed image is used as a source for creating new VMs. It does not by itself provide autoscaling, traffic-based instance management, or a runtime platform for handling web traffic. It is part of the deployment process, not the scaling solution.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse an availability set (which provides high availability) with a scale set (which provides elasticity), leading them to pick Option C because they think 'automatic addition/removal' means fault tolerance, not scaling.

Detailed technical explanation

How to think about this question

Under the hood, VMSS uses an autoscale engine that evaluates metrics (e.g., CPU > 75% for 5 minutes) against scale-out/in rules defined in JSON or ARM templates, and it leverages the Azure Fabric Controller to provision new VMs from a specified image in parallel. A subtle behavior is that VMSS supports both autoscale based on metrics and scheduled autoscale (e.g., scale out at 8 AM, scale in at 10 PM), which is ideal for predictable daily traffic patterns. In a real-world scenario, if the web app uses session state, VMSS would require an external cache like Azure Redis because VMs are stateless and can be terminated at any time during scale-in.

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-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 — A virtual machine scale set (VMSS) is the correct choice because it automatically manages a group of identical, load-balanced VMs and can scale out (add VMs) or scale in (remove VMs) based on demand metrics like CPU usage or a schedule. This matches the requirement for a stateless web application with variable traffic, as VMSS integrates with Azure Load Balancer or Application Gateway and supports autoscale rules to handle daytime spikes and nighttime drops without manual intervention.

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.

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Last reviewed: Jun 11, 2026

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