The answer is a Virtual Machine Scale Set (VMSS). This is the correct choice because VMSS is specifically designed to deploy and manage a group of identical, load-balanced VMs as a single resource, and it natively supports autoscale policies that trigger scale-out based on metrics like average CPU usage across all instances. On the AZ-104 exam, this scenario tests your understanding of when to choose VMSS over individual VMs or an availability set—the key trap is selecting individual VMs with a separate autoscale solution, which increases administrative overhead unnecessarily. Remember that VMSS minimizes overhead by handling VM creation, scaling rules, and load balancing together, making it ideal for identical web workloads. A quick memory tip: think "identical + autoscale = VMSS," and recall that the "S" in VMSS stands for "Scale Set," directly linking it to the scaling requirement.
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.
You need to deploy 20 identical Azure virtual machines that host the same web application. The solution must support automatic scale-out based on CPU usage and should minimize administrative overhead. What should you deploy?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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 automates the deployment and management of identical VMs, supports autoscaling based on CPU usage metrics, and minimizes administrative overhead by handling VM creation, load balancing, and scaling policies as a single resource. This aligns with the requirement for 20 identical VMs with automatic scale-out based on CPU usage.
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.
✗
20 individual virtual machines in the same resource group.
Why it's wrong here
This requires more manual management and does not provide group autoscaling by default.
✓
A Virtual Machine Scale Set.
Why this is correct
VM Scale Sets provide a managed group of identical VMs with autoscaling support.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
An availability set.
Why it's wrong here
Availability sets improve redundancy for VMs but do not provide autoscaling or fleet management.
✗
Azure Container Instances.
Why it's wrong here
This changes the compute model and does not fit the requirement for identical virtual machines.
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 but no scaling) with a scale set (which provides both scaling and high availability), or they mistakenly think deploying individual VMs in a resource group is simpler, ignoring the requirement for automatic scale-out and reduced administrative overhead.
Detailed technical explanation
How to think about this question
A Virtual Machine Scale Set uses a VMSS autoscale profile that integrates with Azure Monitor metrics, such as CPU percentage, to trigger scale-out or scale-in actions based on defined rules (e.g., scale out by 2 instances when CPU > 75% for 5 minutes). Under the hood, VMSS leverages a load balancer (Azure Load Balancer or Application Gateway) to distribute traffic across instances, and the scale set's orchestration mode (Uniform or Flexible) determines how VMs are managed; Uniform mode creates identical VMs from a single configuration, ideal for stateless workloads like web applications. In a real-world scenario, this minimizes overhead because you define the VM configuration once, and the scale set handles provisioning, patching, and scaling automatically.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-104 question in full detail.
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 automates the deployment and management of identical VMs, supports autoscaling based on CPU usage metrics, and minimizes administrative overhead by handling VM creation, load balancing, and scaling policies as a single resource. This aligns with the requirement for 20 identical VMs with automatic scale-out based on CPU usage.
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.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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 →
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 API runs on Azure VMs and experiences unpredictable traffic spikes during the day. The administrator must automatically add or remove identical VM instances based on CPU usage, and the platform should distribute instances across fault domains without manual placement. What should be used?
medium
A.Availability set
✓ B.Virtual machine scale set
C.Availability zone
D.Proximity placement group
Why B: Virtual machine scale sets (VMSS) automatically manage identical VM instances and can scale out/in based on CPU usage metrics via autoscale rules. They distribute instances across fault domains automatically without manual placement, ensuring high availability during unpredictable traffic spikes.
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Question Discussion
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