The answer is elasticity, the cloud characteristic that enables automatic resource scaling to match fluctuating demand. This is correct because elasticity allows a system to dynamically provision additional servers when a flash sale drives user traffic from 10,000 to 500,000 in minutes, then deprovision them once the surge ends, ensuring performance without overpaying for idle capacity. On the Microsoft Azure Fundamentals AZ-900 exam, this concept tests your ability to distinguish elasticity from high availability or scalability—elasticity is specifically about automatic, on-demand scaling up and down, while scalability often implies manual or planned growth. A common trap is confusing elasticity with high availability, which focuses on uptime and redundancy, not dynamic resource adjustment. Remember the memory tip: “Elasticity stretches up and snaps back down,” just like a rubber band responding to load.
AZ-900 Describe cloud concepts Practice Question
This AZ-900 practice question tests your understanding of describe cloud concepts. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 company runs a global e-commerce platform. During a flash sale, demand surges from 10,000 users to 500,000 users in minutes. The platform automatically provisions additional servers to handle the load and deprovisions them after the sale. Which cloud characteristic is most directly demonstrated?
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 demand. In this scenario, the platform provisions additional servers during the flash sale and deprovisions them afterward, directly demonstrating elasticity. This contrasts with other characteristics like high availability, which focuses on uptime, not 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.
✓
Elasticity
Why this is correct
Correct. Elasticity allows resources to be automatically adjusted to accommodate variable workloads.
Related concept
Read the scenario before looking for a memorised answer.
✗
High availability
Why it's wrong here
High availability focuses on keeping services running despite failures, not on scaling.
✗
Fault tolerance
Why it's wrong here
Fault tolerance is about continuing operation when component failures occur.
✗
Geographic distribution
Why it's wrong here
Geographic distribution refers to deploying resources across multiple regions for performance and redundancy.
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 automatically adding servers during a surge is about keeping the system available, but high availability is about fault tolerance and redundancy, not dynamic scaling.
Detailed technical explanation
How to think about this question
Elasticity is implemented through auto-scaling groups and load balancers that monitor metrics like CPU utilization or request count, triggering scale-out or scale-in actions. Under the hood, Azure uses Virtual Machine Scale Sets (VMSS) to automatically adjust the number of VM instances based on defined rules, and the process involves provisioning new VMs from a base image, configuring them, and adding them to the load balancer's backend pool. A subtle behavior is that elasticity can be reactive (based on thresholds) or proactive (scheduled), and the deprovisioning phase must handle draining connections gracefully to avoid disrupting active sessions.
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-900 question in full detail.
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 demand. In this scenario, the platform provisions additional servers during the flash sale and deprovisions them afterward, directly demonstrating elasticity. This contrasts with other characteristics like high availability, which focuses on uptime, not 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.
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 retail company hosts an e-commerce website on on-premises servers. During seasonal sales events, the website experiences traffic spikes that last for a few hours. Several years ago, the company purchased additional servers to handle these spikes, but those servers now sit idle for most of the year. The company is considering moving the website to Azure. Which benefit of cloud computing would most directly help the company avoid maintaining idle hardware while still being able to handle traffic spikes?
medium
A.High availability
✓ B.Elasticity
C.Disaster recovery
D.Geo-redundancy
Why B: Elasticity is the correct answer because it allows the company to automatically scale computing resources up during traffic spikes and scale down when demand drops, eliminating the need to maintain idle on-premises servers. In Azure, this is achieved through features like Virtual Machine Scale Sets and autoscale rules that adjust capacity based on metrics such as CPU usage or request count, ensuring the company only pays for resources consumed during peak periods.
Variation 2. A company runs an e-commerce website on a set of on-premises servers that are fully owned and depreciated. The website experiences predictable traffic surges during seasonal sales. The company plans to migrate to Azure and wants to pay only for the compute and storage resources consumed, with the ability to automatically add virtual machines during sales and remove them afterward. Which characteristic of cloud computing does this scenario best illustrate?
medium
A.High availability
✓ B.Elasticity
C.Fault tolerance
D.Disaster recovery
Why B: Elasticity is the cloud computing characteristic that allows resources to automatically scale out (add virtual machines) during demand spikes like seasonal sales and scale in (remove VMs) when demand drops, aligning with the pay-per-use model. This scenario directly matches elasticity because the company wants to dynamically adjust compute and storage resources in response to predictable traffic surges, paying only for what is consumed.
Last reviewed: Jun 11, 2026
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