The answer is scalability, as this scenario perfectly demonstrates the cloud computing benefit of dynamically adjusting resources to match fluctuating demand. Scalability in cloud computing allows you to scale out by adding compute capacity for a promotional event and then scale in by reducing those resources afterward, ensuring you pay only for what you use. On the Microsoft Azure Fundamentals AZ-900 exam, this concept is frequently tested against elasticity, which is often the trap—elasticity refers to the speed of automatic scaling, while scalability is the broader ability to increase or decrease capacity on demand. A common memory tip is to think of scalability as the "what" (the ability to change size) and elasticity as the "how fast" (the automation of that change). For this question, the key clue is the temporary increase followed by a reduction, which is the hallmark of scalability, not just handling a fixed high load. Remember: if you can add and then remove resources, it’s scalability in action.
AZ-900 Describe cloud concepts Practice Question
This AZ-900 practice question tests your understanding of describe cloud concepts. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 wants to use cloud services to temporarily increase compute capacity for a promotional event, then reduce resources afterward. They want to pay only for the extra resources used during that event. Which cloud benefit does this scenario best describe?
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 the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Scalability
This scenario describes scalability, specifically the ability to scale out (increase capacity) for a promotional event and then scale in (reduce resources) afterward, paying only for what is used. Azure Auto Scaling (e.g., Virtual Machine Scale Sets or Azure App Service autoscale) automatically adjusts compute resources based on demand, aligning with the pay-as-you-go model. The key is that resources are temporarily increased and then reduced, which is the hallmark of scalability, not just the ability to handle load.
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.
✓
Scalability
Why this is correct
Correct. Scalability allows you to increase or decrease resources to match demand, and cloud providers support scaling with pay-as-you-go pricing.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
High availability
Why it's wrong here
Incorrect. High availability focuses on minimizing downtime, not on adjusting capacity for events.
✗
Agility
Why it's wrong here
Incorrect. Agility refers to rapid deployment and experimentation, not specifically to scaling capacity up and down.
✗
Reliability
Why it's wrong here
Incorrect. Reliability ensures that the system operates consistently, but does not describe the ability to temporally increase capacity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse scalability with agility, because both involve responding to demand, but agility is about the speed of provisioning and deployment, not the elastic adjustment of capacity for a temporary event.
Detailed technical explanation
How to think about this question
Under the hood, Azure autoscale uses metrics like CPU percentage or queue depth to trigger scale-out and scale-in operations via the Azure Monitor autoscale engine, which applies rules defined in an autoscale profile. For example, a scale-out rule might add VMs when CPU > 75% for 5 minutes, while a scale-in rule removes VMs when CPU < 25% for 10 minutes, with a cool-down period (e.g., 300 seconds) to prevent flapping. In a real-world scenario, a retail company might use Azure Functions with consumption plan to handle Black Friday traffic spikes, paying only for execution time and resources consumed during the event.
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: Scalability — This scenario describes scalability, specifically the ability to scale out (increase capacity) for a promotional event and then scale in (reduce resources) afterward, paying only for what is used. Azure Auto Scaling (e.g., Virtual Machine Scale Sets or Azure App Service autoscale) automatically adjusts compute resources based on demand, aligning with the pay-as-you-go model. The key is that resources are temporarily increased and then reduced, which is the hallmark of scalability, not just the ability to handle load.
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: "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?
Read the scenario before looking for a memorised answer.
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