- A
Use a Consumption hosting plan
Correct: Consumption plan scales to zero when idle.
- B
Use a queue trigger for processing
Correct: Queue triggers can drive scale-out.
- C
Configure the function to use the built-in scaling controller
Correct: The scaling controller automatically scales based on load.
- D
Enable the 'Always On' setting
Why wrong: Wrong: Always On prevents scaling to zero.
- E
Use a Premium hosting plan
Why wrong: Wrong: Premium plan does not scale to zero.
Quick Answer
The answer is to configure the function app to use the Consumption hosting plan, which leverages the built-in scaling controller. This is correct because the Consumption plan provides automatic, event-driven scaling that can scale to zero instances when idle, meaning you pay only for execution time, while also handling high traffic spikes by scaling out instantly as demand increases. On the AZ-204 exam, this tests your understanding of serverless hosting models and the distinction between Consumption, Premium, and Dedicated plans; a common trap is confusing Premium’s pre-warmed instances with the true scale-to-zero behavior of Consumption. Remember that only the Consumption plan guarantees zero instances during idle periods—think of it as “pay-per-use, zero when snooze.”
AZ-204 Develop Azure compute solutions Practice Question
This AZ-204 practice question tests your understanding of develop azure compute solutions. 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.
You are developing a serverless application using Azure Functions. The function needs to scale to zero when idle and handle high traffic spikes. Which THREE features should you implement?
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
Use a Consumption hosting plan
A Consumption hosting plan is correct because it provides automatic scaling and can scale down to zero instances when the function is idle, meaning you only pay for execution time. This is essential for a serverless application that needs to handle high traffic spikes while minimizing costs during idle periods.
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.
- ✓
Use a Consumption hosting plan
Why this is correct
Correct: Consumption plan scales to zero when idle.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Use a queue trigger for processing
Why this is correct
Correct: Queue triggers can drive scale-out.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Configure the function to use the built-in scaling controller
Why this is correct
Correct: The scaling controller automatically scales based on load.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable the 'Always On' setting
Why it's wrong here
Wrong: Always On prevents scaling to zero.
- ✗
Use a Premium hosting plan
Why it's wrong here
Wrong: Premium plan does not scale to zero.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the 'Always On' setting (which prevents scaling to zero) with a necessary feature for serverless apps, or they mistakenly choose the Premium plan thinking it is required for high traffic, when in fact the Consumption plan with queue triggers and built-in scaling is the correct serverless approach.
Detailed technical explanation
How to think about this question
The Consumption plan uses the Azure Functions host to dynamically add or remove instances based on the number of incoming events, leveraging the scale controller that monitors trigger-specific metrics (e.g., queue length for queue triggers). When idle, the scale controller can reduce the instance count to zero, and during spikes, it can scale out to hundreds of instances within seconds, limited only by subscription quotas. Queue triggers are particularly effective because they decouple the function from the caller, allowing the scale controller to batch process messages efficiently and handle backpressure automatically.
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-204 question test?
Develop Azure compute solutions — This question tests Develop Azure compute solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a Consumption hosting plan — A Consumption hosting plan is correct because it provides automatic scaling and can scale down to zero instances when the function is idle, meaning you only pay for execution time. This is essential for a serverless application that needs to handle high traffic spikes while minimizing costs during idle periods.
What should I do if I get this AZ-204 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 →
Same concept, more angles
1 more ways this is tested on AZ-204
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. You develop a serverless application using Azure Functions. The function must process images uploaded to a blob container. You need to ensure the function runs only when a new blob is created, and that it scales out automatically for high upload volumes. Which trigger and hosting plan combination should you use?
medium- ✓ A.Blob trigger + Consumption plan
- B.HTTP trigger + Consumption plan
- C.Queue trigger + Consumption plan
- D.Timer trigger + Consumption plan
Why A: A Blob trigger is designed to run a function when a blob is created or updated in Azure Blob Storage, which directly matches the requirement to process images only when a new blob is uploaded. The Consumption plan provides automatic scaling based on demand, handling high upload volumes by dynamically allocating resources without manual intervention. This combination ensures event-driven execution and cost-effective scaling.
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Last reviewed: Jun 24, 2026
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