- A
High availability
Why wrong: High availability ensures that applications remain accessible and operational by using redundant infrastructure, such as multiple VMs in an availability set or load balancer. While the scenario uses multiple VMs, the primary purpose is scaling to meet demand, not tolerating failures. Therefore, high availability is not the best description.
- B
Elasticity
Elasticity is the correct concept. Azure autoscale automatically adds or removes resources (VMs) based on defined rules or schedules to match workload demand. Here, the predictable daily pattern triggers scheduled scaling, which is a classic implementation of elasticity.
- C
Agility
Why wrong: Agility in cloud computing refers to the ability to rapidly provision, configure, and deploy resources, enabling quick response to business needs. While autoscale can be part of agile operations, the scenario emphasizes automatic adjustment of capacity over time, not the speed of initial deployment.
- D
Fault tolerance
Why wrong: Fault tolerance is the capability of a system to continue operating without interruption when one or more of its components fail. This scenario focuses on scaling to handle changes in load, not on resilience to failures. Even if a VM fails, autoscale may replace it, but the described scheduled scaling is not about fault tolerance.
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. A key principle to apply: elasticity allows automatic scaling of resources to match demand.. 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 virtual machines. Traffic follows a predictable daily pattern: peak load occurs from 9 AM to 5 PM on weekdays. To handle this, the company configures an Azure autoscale rule that adds virtual machines at 8:30 AM and removes them at 5:30 PM each weekday. This scenario best demonstrates which cloud computing characteristic?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Elasticity is the ability to dynamically scale resources up or down to match demand. In this scenario, the autoscale rule adds VMs at 8:30 AM to handle the predictable peak load and removes them at 5:30 PM, demonstrating automatic resource provisioning and de-provisioning based on a schedule. This is a textbook example of elasticity in cloud computing.
Key principle: Elasticity allows automatic scaling of resources to match demand.
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 applications remain accessible and operational by using redundant infrastructure, such as multiple VMs in an availability set or load balancer. While the scenario uses multiple VMs, the primary purpose is scaling to meet demand, not tolerating failures. Therefore, high availability is not the best description.
- ✓
Elasticity
Why this is correct
Elasticity is the correct concept. Azure autoscale automatically adds or removes resources (VMs) based on defined rules or schedules to match workload demand. Here, the predictable daily pattern triggers scheduled scaling, which is a classic implementation of elasticity.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Elasticity allows automatic scaling of resources to match demand.
- ✗
Agility
Why it's wrong here
Agility in cloud computing refers to the ability to rapidly provision, configure, and deploy resources, enabling quick response to business needs. While autoscale can be part of agile operations, the scenario emphasizes automatic adjustment of capacity over time, not the speed of initial deployment.
- ✗
Fault tolerance
Why it's wrong here
Fault tolerance is the capability of a system to continue operating without interruption when one or more of its components fail. This scenario focuses on scaling to handle changes in load, not on resilience to failures. Even if a VM fails, autoscale may replace it, but the described scheduled scaling is not about fault tolerance.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing elasticity with high availability: candidates often pick 'high availability' because they see multiple VMs being added, but the key is the scheduled scaling in response to predictable load, not redundancy for uptime.
Trap categories for this question
Scenario analysis trap
High availability ensures that applications remain accessible and operational by using redundant infrastructure, such as multiple VMs in an availability set or load balancer. While the scenario uses multiple VMs, the primary purpose is scaling to meet demand, not tolerating failures. Therefore, high availability is not the best description.
Detailed technical explanation
How to think about this question
Azure autoscale uses Azure Monitor metrics or scheduled times to trigger scale-out and scale-in operations via the Azure VMSS (Virtual Machine Scale Set) resource. Under the hood, autoscale evaluates the rule every minute and issues a REST API call to the Microsoft.Compute/virtualMachineScaleSets resource to adjust the capacity. A subtle behavior is the 'cool-down' period (default 5 minutes) that prevents rapid flapping when scaling in, which can cause unnecessary VM terminations if traffic spikes briefly after a scale-in event.
KKey Concepts to Remember
- Elasticity allows automatic scaling of resources to match demand.
- Azure Autoscale is a service that implements elasticity.
- Scaling can be based on metrics (CPU, memory) or schedules.
- Elasticity optimizes costs by preventing over- or under-provisioning.
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
Elasticity allows automatic scaling of resources to match demand.
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.
Review elasticity allows automatic scaling of resources to match demand., then practise related AZ-900 questions on the same topic to reinforce the concept.
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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 — Elasticity allows automatic scaling of resources to match demand..
What is the correct answer to this question?
The correct answer is: Elasticity — Elasticity is the ability to dynamically scale resources up or down to match demand. In this scenario, the autoscale rule adds VMs at 8:30 AM to handle the predictable peak load and removes them at 5:30 PM, demonstrating automatic resource provisioning and de-provisioning based on a schedule. This is a textbook example of elasticity in cloud computing.
What should I do if I get this AZ-900 question wrong?
Review elasticity allows automatic scaling of resources to match demand., then practise related AZ-900 questions on the same topic to reinforce the concept.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Elasticity allows automatic scaling of resources to match demand.
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Last reviewed: Jun 11, 2026
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