- A
Rapid elasticity and scaling
Why wrong: This option is incorrect. Rapid elasticity refers to the ability to automatically add or remove resources in response to changes in demand. While the company could also use autoscaling, the primary benefit demonstrated here is the ability to stop paying for resources when not in use, not dynamic scaling based on load.
- B
Measured service and consumption-based pricing
This option is correct. Cloud providers measure resource usage (e.g., compute hours, storage) and charge only for what is consumed. By deallocating VMs during off-hours, the company avoids paying for compute time during those periods, directly leveraging the consumption-based cost model. This is a key advantage of the cloud over traditional on-premises infrastructure, where hardware costs are fixed regardless of usage.
- C
High availability
Why wrong: This option is incorrect. High availability is about ensuring that applications remain accessible and operational during failures (e.g., using redundant VMs across availability zones). The scenario does not involve maintaining uptime during failures; it focuses on cost savings by turning off resources when not needed.
- D
Geographic distribution
Why wrong: This option is incorrect. Geographic distribution refers to deploying resources in multiple Azure regions to reduce latency for global users or to support disaster recovery. The scenario describes a schedule based on business hours, not deploying resources in different geographical locations.
Quick Answer
The answer is measured service and consumption-based pricing, because Azure only bills for compute resources when a virtual machine is in the ‘Running’ state. When you deallocate a VM, you release its vCPU and RAM, stopping the meter for those resources while retaining the disk and storage, so you pay solely for the time the VM is actively used. On the AZ-900 exam, this scenario tests your understanding of how measured service directly ties cost to actual consumption, often appearing as a case study about scheduling or scaling to reduce waste. A common trap is confusing deallocation with stopping a VM—stopping keeps the resources allocated and continues billing, while deallocation releases them. Remember the memory tip: “Deallocate to deflate the bill,” meaning you only pay for compute when the VM is running, not when it’s reserved.
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 company runs a development and testing environment on Azure virtual machines. The environment is only needed during standard business hours (9:00 AM to 5:00 PM), Monday through Friday. The IT team configures an automated schedule that deallocates all VMs at 5:00 PM each weekday and starts them again at 8:00 AM the next morning. The team reports a significant reduction in their monthly Azure bill after implementing this schedule. Which essential characteristic of cloud computing 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
Measured service and consumption-based pricing
The scenario demonstrates measured service and consumption-based pricing because Azure charges for VM compute costs only when the VM is in the 'Running' state. Deallocating the VM releases the reserved compute resources, stopping billing for the VM's vCPU and RAM while retaining the disk and other resources. By scheduling deallocation outside business hours, the company pays only for the hours the VMs are actually running, directly reducing costs based on usage.
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.
- ✗
Rapid elasticity and scaling
Why it's wrong here
This option is incorrect. Rapid elasticity refers to the ability to automatically add or remove resources in response to changes in demand. While the company could also use autoscaling, the primary benefit demonstrated here is the ability to stop paying for resources when not in use, not dynamic scaling based on load.
- ✓
Measured service and consumption-based pricing
Why this is correct
This option is correct. Cloud providers measure resource usage (e.g., compute hours, storage) and charge only for what is consumed. By deallocating VMs during off-hours, the company avoids paying for compute time during those periods, directly leveraging the consumption-based cost model. This is a key advantage of the cloud over traditional on-premises infrastructure, where hardware costs are fixed regardless of usage.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
High availability
Why it's wrong here
This option is incorrect. High availability is about ensuring that applications remain accessible and operational during failures (e.g., using redundant VMs across availability zones). The scenario does not involve maintaining uptime during failures; it focuses on cost savings by turning off resources when not needed.
- ✗
Geographic distribution
Why it's wrong here
This option is incorrect. Geographic distribution refers to deploying resources in multiple Azure regions to reduce latency for global users or to support disaster recovery. The scenario describes a schedule based on business hours, not deploying resources in different geographical locations.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'stopping' a VM (which still incurs compute charges) with 'deallocating' a VM (which stops compute billing), and they may incorrectly associate the cost savings with elasticity or availability rather than the pay-as-you-go pricing model.
Trap categories for this question
Scenario analysis trap
This option is incorrect. High availability is about ensuring that applications remain accessible and operational during failures (e.g., using redundant VMs across availability zones). The scenario does not involve maintaining uptime during failures; it focuses on cost savings by turning off resources when not needed.
Detailed technical explanation
How to think about this question
When a VM is deallocated, Azure releases the underlying hardware lease, stopping billing for compute (vCPU and RAM) but continuing to bill for attached managed disks, public IPs (if static), and storage. The deallocation API (POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Compute/virtualMachines/{vmName}/deallocate?api-version=2023-03-01) sets the VM's powerState to 'Deallocated', distinct from 'Stopped' (which still incurs compute charges). This behavior is critical for cost optimization in dev/test environments where uptime is not required 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: Measured service and consumption-based pricing — The scenario demonstrates measured service and consumption-based pricing because Azure charges for VM compute costs only when the VM is in the 'Running' state. Deallocating the VM releases the reserved compute resources, stopping billing for the VM's vCPU and RAM while retaining the disk and other resources. By scheduling deallocation outside business hours, the company pays only for the hours the VMs are actually running, directly reducing costs based on usage.
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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