Question 248 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 manufacturing company deploys a batch processing application on Azure. The processing workload is highly unpredictable; sometimes the application requires hundreds of virtual machines for a few hours to process a large queue of jobs, and at other times it requires only a handful of virtual machines. The company configures the application to automatically add and remove virtual machines based on the size of the processing queue, ensuring that they never pay for idle capacity. Which cloud characteristic does this scenario primarily demonstrate?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "never"
Why it matters: Absolute qualifier. True only if the statement has zero exceptions — be cautious of options that seem obvious but break down in edge cases.

Question 1mediummultiple choice

Full question →

A
High availability
Why wrong: High availability refers to systems that remain operational for a long period of time without significant downtime. It does not describe the dynamic scaling of resources based on workload demand.
B
Elasticity
Elasticity is the cloud characteristic that allows resources to be automatically provisioned and de-provisioned in response to changing demand. The scenario's automatic addition and removal of virtual machines based on queue size perfectly illustrates this principle.
C
Fault tolerance
Why wrong: Fault tolerance enables a system to continue operating properly in the event of a component failure. While Azure can provide fault tolerance, the scenario describes scaling based on workload, not handling failures.
D
Disaster recovery
Why wrong: Disaster recovery involves the processes and policies for restoring IT infrastructure and data after a natural or human-induced disaster. The scenario does not involve recovery from a disaster, but rather adjusting capacity to match workload fluctuations.

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

The scenario describes automatically scaling the number of virtual machines up and down based on the queue size, which directly aligns with the cloud characteristic of elasticity. Elasticity allows resources to be dynamically provisioned and de-provisioned to match workload demand, ensuring the company never pays for idle capacity. This is distinct from high availability, fault tolerance, or disaster recovery, which focus on uptime, redundancy, and data protection rather than dynamic scaling.

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 refers to systems that remain operational for a long period of time without significant downtime. It does not describe the dynamic scaling of resources based on workload demand.
✓
Elasticity
Why this is correct
Elasticity is the cloud characteristic that allows resources to be automatically provisioned and de-provisioned in response to changing demand. The scenario's automatic addition and removal of virtual machines based on queue size perfectly illustrates this principle.
Clue confirmation
The clue word "never" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Fault tolerance
Why it's wrong here
Fault tolerance enables a system to continue operating properly in the event of a component failure. While Azure can provide fault tolerance, the scenario describes scaling based on workload, not handling failures.
✗
Disaster recovery
Why it's wrong here
Disaster recovery involves the processes and policies for restoring IT infrastructure and data after a natural or human-induced disaster. The scenario does not involve recovery from a disaster, but rather adjusting capacity to match workload fluctuations.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse elasticity with high availability, thinking that scaling out to handle load also implies fault tolerance, but elasticity is purely about matching capacity to demand, not about redundancy or uptime guarantees.

Trap categories for this question

Scenario analysis trap
Fault tolerance enables a system to continue operating properly in the event of a component failure. While Azure can provide fault tolerance, the scenario describes scaling based on workload, not handling failures.

Detailed technical explanation

How to think about this question

Under the hood, Azure implements elasticity through features like Virtual Machine Scale Sets (VMSS) with autoscale rules based on metrics such as queue depth (e.g., Azure Storage queue length or Service Bus message count). The autoscale engine uses a scale-out and scale-in policy with cool-down periods to avoid thrashing, and it integrates with Azure Monitor to trigger actions when thresholds are crossed. In real-world scenarios, batch processing applications often use VMSS with custom scripts or Azure Batch to spin up hundreds of VMs for a few hours, then tear them down, directly leveraging elasticity to optimize cost.

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-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 — The scenario describes automatically scaling the number of virtual machines up and down based on the queue size, which directly aligns with the cloud characteristic of elasticity. Elasticity allows resources to be dynamically provisioned and de-provisioned to match workload demand, ensuring the company never pays for idle capacity. This is distinct from high availability, fault tolerance, or disaster recovery, which focus on uptime, redundancy, and data protection rather than dynamic scaling.

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.

Are there clue words in this question I should notice?

Yes — watch for: "never". Absolute qualifier. True only if the statement has zero exceptions — be cautious of options that seem obvious but break down in edge cases.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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