Question 459 of 1,031

Describe cloud concepts →mediumMultiple ChoiceObjective-mapped

AZ-900 Describe cloud concepts Practice Question

This AZ-900 practice question tests your understanding of describe cloud concepts. 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 retail company runs an e-commerce application on Azure. During the holiday season, the application experiences a sudden 10x increase in traffic. The company uses Azure Virtual Machine Scale Sets configured with autoscale rules based on CPU usage. The application automatically adds virtual machines during the peak and removes them when traffic subsides. Which benefit of cloud computing does this configuration primarily demonstrate?

Question 1mediummultiple choice

Full question →

A
High availability
Why wrong: High availability ensures that the application remains operational during failures (e.g., using multiple instances across availability zones). While the autoscale configuration can contribute to availability, the primary benefit shown here is the dynamic scaling based on demand, which is elasticity.
B
Elasticity
Elasticity is the ability to automatically provision and de-provision resources to match current demand. The Virtual Machine Scale Sets with autoscale rules perfectly illustrate this by adding VMs when CPU usage rises and removing them when it falls, allowing the company to handle the holiday traffic spike efficiently.
C
Fault tolerance
Why wrong: Fault tolerance refers to the ability of a system to continue operating even if some components fail. Although Virtual Machine Scale Sets can be configured for fault tolerance, the scenario focuses on scaling based on demand, not on surviving failures.
D
Latency-based routing
Why wrong: Latency-based routing is a traffic management feature that directs users to the nearest or fastest endpoint (e.g., using Azure Traffic Manager). It is not related to the ability to scale resources up or down based on workload.

Full breakdown with real-world context →

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

✓

Elasticity

This configuration demonstrates elasticity, which is the ability of a cloud system to automatically scale resources up or down based on demand. Azure Virtual Machine Scale Sets with autoscale rules based on CPU usage dynamically add VMs during traffic spikes and remove them when traffic subsides, directly matching resource allocation to workload requirements. This is a core benefit of cloud computing that enables cost efficiency and performance optimization 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.

✗
High availability
Why it's wrong here
High availability ensures that the application remains operational during failures (e.g., using multiple instances across availability zones). While the autoscale configuration can contribute to availability, the primary benefit shown here is the dynamic scaling based on demand, which is elasticity.
✓
Elasticity
Why this is correct
Elasticity is the ability to automatically provision and de-provision resources to match current demand. The Virtual Machine Scale Sets with autoscale rules perfectly illustrate this by adding VMs when CPU usage rises and removing them when it falls, allowing the company to handle the holiday traffic spike efficiently.
Related concept
Read the scenario before looking for a memorised answer.
✗
Fault tolerance
Why it's wrong here
Fault tolerance refers to the ability of a system to continue operating even if some components fail. Although Virtual Machine Scale Sets can be configured for fault tolerance, the scenario focuses on scaling based on demand, not on surviving failures.
✗
Latency-based routing
Why it's wrong here
Latency-based routing is a traffic management feature that directs users to the nearest or fastest endpoint (e.g., using Azure Traffic Manager). It is not related to the ability to scale resources up or down based on workload.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse elasticity with high availability, but elasticity is specifically about scaling resources to meet demand, not about maintaining uptime through redundancy.

Trap categories for this question

Command / output trap
High availability ensures that the application remains operational during failures (e.g., using multiple instances across availability zones). While the autoscale configuration can contribute to availability, the primary benefit shown here is the dynamic scaling based on demand, which is elasticity.
Scenario analysis trap
Fault tolerance refers to the ability of a system to continue operating even if some components fail. Although Virtual Machine Scale Sets can be configured for fault tolerance, the scenario focuses on scaling based on demand, not on surviving failures.

Detailed technical explanation

How to think about this question

Azure Virtual Machine Scale Sets use the Azure Autoscale service, which monitors CPU metrics via the Azure Monitor platform and triggers scale-out or scale-in operations based on defined rules and thresholds. The scale-out operation provisions new VMs from a configured image, while scale-in gracefully deallocates VMs using a deallocation policy (e.g., NewestVM or OldestVM). In a real-world scenario, if the autoscale rule is set to add one VM when CPU exceeds 75% for 5 minutes, but the traffic spike is sudden and sustained, the system may experience a lag before new VMs are ready, so using predictive autoscale or multiple metric rules can improve responsiveness.

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

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

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-900 question test?

Describe cloud concepts — This question tests Describe cloud concepts — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Elasticity — This configuration demonstrates elasticity, which is the ability of a cloud system to automatically scale resources up or down based on demand. Azure Virtual Machine Scale Sets with autoscale rules based on CPU usage dynamically add VMs during traffic spikes and remove them when traffic subsides, directly matching resource allocation to workload requirements. This is a core benefit of cloud computing that enables cost efficiency and performance optimization without manual intervention.

What should I do if I get this AZ-900 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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