- A
High availability
Why wrong: High availability focuses on minimizing downtime, not on cost savings from renting hardware only when needed. The scenario does not mention service continuity requirements.
- B
Fault tolerance
Why wrong: Fault tolerance is about a system surviving component failures without interruption. The start-up's use case is about cost efficiency, not resilience to failures.
- C
Consumption-based pricing
Consumption-based pricing (pay-as-you-go) is a core benefit of cloud computing. The start-up avoids capital expense by renting GPU instances only for the time they are needed, paying only for what they consume.
- D
Geographic distribution
Why wrong: Geographic distribution involves deploying resources in multiple locations to improve performance and redundancy. The scenario is about cost optimization, not about reaching users in different regions.
Quick Answer
The answer is consumption-based pricing, a core cloud benefit that directly explains this scenario. The start-up avoids large upfront capital expenses by spinning up GPU-optimized virtual machines only during training hours and deleting them when finished, paying solely for the compute time consumed. This pay-as-you-go model, also known as operational expenditure (OpEx), allows resources to scale down to zero when idle, making it ideal for intermittent workloads like machine learning. On the Microsoft Azure Fundamentals AZ-900 exam, this concept tests your understanding of how cloud economics shift costs from capital expenditure (CapEx) to variable, usage-based spending. A common trap is confusing consumption-based pricing with elasticity—elasticity is about scaling resources up and down automatically, while consumption-based pricing is specifically about paying only for what you use. For a quick memory tip, think of it like a utility bill: you pay for the electricity you actually consume, not for the power plant.
AZ-900 Describe cloud concepts Practice Question
This AZ-900 practice question tests your understanding of describe cloud concepts. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 small start-up company needs to run complex machine learning training jobs that require powerful GPU instances for only a few hours each day. The company cannot afford the high upfront capital expense of purchasing and maintaining multiple GPU servers on-premises. Instead, they spin up GPU-optimized virtual machines on Azure during training hours and delete them when the jobs finish, paying only for the compute time consumed. Which benefit of cloud computing does this scenario primarily illustrate?
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
Consumption-based pricing
The scenario describes the company spinning up GPU-optimized VMs only when needed and deleting them after use, paying solely for the compute time consumed. This directly illustrates consumption-based pricing (also known as pay-as-you-go), a core cloud benefit where customers pay only for the resources they actually use, avoiding large upfront capital expenditures. The ability to scale down to zero when not in use is a hallmark of this model, enabling cost efficiency for intermittent workloads.
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 focuses on minimizing downtime, not on cost savings from renting hardware only when needed. The scenario does not mention service continuity requirements.
- ✗
Fault tolerance
Why it's wrong here
Fault tolerance is about a system surviving component failures without interruption. The start-up's use case is about cost efficiency, not resilience to failures.
- ✓
Consumption-based pricing
Why this is correct
Consumption-based pricing (pay-as-you-go) is a core benefit of cloud computing. The start-up avoids capital expense by renting GPU instances only for the time they are needed, paying only for what they consume.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Geographic distribution
Why it's wrong here
Geographic distribution involves deploying resources in multiple locations to improve performance and redundancy. The scenario is about cost optimization, not about reaching users in different regions.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Microsoft often tests the confusion between consumption-based pricing and other operational benefits like high availability or fault tolerance; the trap here is that candidates may incorrectly associate the ability to spin up and delete VMs with high availability or fault tolerance, rather than recognizing it as a direct illustration of the pay-as-you-go cost model.
Trap categories for this question
Scenario analysis trap
High availability focuses on minimizing downtime, not on cost savings from renting hardware only when needed. The scenario does not mention service continuity requirements.
Detailed technical explanation
How to think about this question
Under the hood, Azure uses a metering system that tracks resource usage per second for virtual machines, with billing calculated based on the VM size, operating system, and region. For GPU-optimized VMs like the NCas_v4 series, the consumption-based model allows customers to avoid the high cost of dedicated GPU hardware by paying only for the exact compute time consumed, including the ability to stop and deallocate VMs to stop billing for compute (though storage costs for disks and IP addresses may still apply). A real-world scenario is a startup training a deep learning model for 4 hours daily; using consumption-based pricing, they can spin up an ND-series VM, run training, and delete it, saving over 90% compared to running it 24/7.
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
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
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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: Consumption-based pricing — The scenario describes the company spinning up GPU-optimized VMs only when needed and deleting them after use, paying solely for the compute time consumed. This directly illustrates consumption-based pricing (also known as pay-as-you-go), a core cloud benefit where customers pay only for the resources they actually use, avoiding large upfront capital expenditures. The ability to scale down to zero when not in use is a hallmark of this model, enabling cost efficiency for intermittent workloads.
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 30, 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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