- A
High Availability
Why wrong: High availability refers to ensuring an application or service remains operational with minimal downtime, often through redundancy and failover. While autoscaling can contribute to availability, the core purpose described here is adjusting capacity to match demand, not maintaining uptime.
- B
Elasticity
Elasticity is the cloud characteristic that enables resources to be automatically provisioned and de-provisioned in response to real-time workload changes. The autoscale rule that adds or removes VMs based on CPU usage directly embodies elasticity by ensuring resource consumption closely follows demand.
- C
Fault Tolerance
Why wrong: Fault tolerance allows a system to continue operating without interruption when one or more components fail. Autoscaling does not inherently handle component failures; it addresses capacity changes. Fault tolerance is achieved through redundant deployments across availability zones or regions, not through scaling rules.
- D
Durability
Why wrong: Durability in cloud computing refers to the long-term protection of data against loss or corruption, typically through replication and backup. This scenario describes compute resource scaling, not data preservation or retention.
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 startup runs a web application on Azure virtual machines. The application experiences sudden, short-lived spikes in traffic multiple times a day. The startup configures an autoscale rule that adds two additional VM instances when CPU usage exceeds 75% and removes them when CPU drops below 30%. This approach is designed to match resource consumption closely to demand. Which cloud computing characteristic does this scenario primarily demonstrate?
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 of a cloud system to automatically scale resources up or down based on real-time demand. In this scenario, the autoscale rule dynamically adds two VM instances when CPU exceeds 75% and removes them when CPU drops below 30%, closely matching resource consumption to traffic spikes. This on-demand provisioning and de-provisioning of compute capacity is the defining characteristic of elasticity.
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 ensuring an application or service remains operational with minimal downtime, often through redundancy and failover. While autoscaling can contribute to availability, the core purpose described here is adjusting capacity to match demand, not maintaining uptime.
- ✓
Elasticity
Why this is correct
Elasticity is the cloud characteristic that enables resources to be automatically provisioned and de-provisioned in response to real-time workload changes. The autoscale rule that adds or removes VMs based on CPU usage directly embodies elasticity by ensuring resource consumption closely follows demand.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Fault Tolerance
Why it's wrong here
Fault tolerance allows a system to continue operating without interruption when one or more components fail. Autoscaling does not inherently handle component failures; it addresses capacity changes. Fault tolerance is achieved through redundant deployments across availability zones or regions, not through scaling rules.
- ✗
Durability
Why it's wrong here
Durability in cloud computing refers to the long-term protection of data against loss or corruption, typically through replication and backup. This scenario describes compute resource scaling, not data preservation or retention.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse elasticity with high availability, because both involve multiple instances, but elasticity is about scaling to meet demand while high availability is about maintaining uptime through redundancy.
Trap categories for this question
Scenario analysis trap
Durability in cloud computing refers to the long-term protection of data against loss or corruption, typically through replication and backup. This scenario describes compute resource scaling, not data preservation or retention.
Detailed technical explanation
How to think about this question
Under the hood, Azure autoscale uses Azure Monitor metrics (e.g., Percentage CPU) and triggers scale operations via the Azure Resource Manager API. The scale-out and scale-in cooldown periods (default 5-10 minutes) prevent flapping during rapid load changes, and the 'add two instances' rule uses a default instance count of 2 in the autoscale profile. In real-world scenarios, elasticity is critical for e-commerce flash sales where traffic can spike 10x in seconds, requiring pre-warmed instances and predictive scaling to avoid cold-start latency.
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
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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 — Elasticity is the ability of a cloud system to automatically scale resources up or down based on real-time demand. In this scenario, the autoscale rule dynamically adds two VM instances when CPU exceeds 75% and removes them when CPU drops below 30%, closely matching resource consumption to traffic spikes. This on-demand provisioning and de-provisioning of compute capacity is the defining characteristic of elasticity.
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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Last reviewed: Jun 11, 2026
This AZ-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AZ-900 exam.
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