AZ-400 Practice Question: Design and implement build and release pipelines
This AZ-400 practice question tests your understanding of design and implement build and release pipelines. 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.
Your organization uses GitHub Actions with self-hosted runners on Azure virtual machines. You notice that some workflows are taking longer than expected because runners are busy. You need to improve the performance without adding more permanent runners. Which solution should you implement?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement auto-scaling for self-hosted runners using a scale set or Kubernetes-based runner controller.
GitHub Actions supports auto-scaling for self-hosted runners using scaling applications like 'actions-runner-controller' for Kubernetes or custom scripts. Option A is correct because it dynamically adds/removes runners based on demand. Option B increases cost and maintenance. Option C is for GitHub-hosted runners. Option D reduces wait but doesn't address root cause.
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.
✗
Migrate all workflows to GitHub-hosted runners.
Why it's wrong here
This may not be feasible due to cost or compliance.
✗
Reduce the number of concurrent jobs in each workflow.
Why it's wrong here
Reducing concurrency may increase wait times.
✓
Implement auto-scaling for self-hosted runners using a scale set or Kubernetes-based runner controller.
Why this is correct
Auto-scaling adds runners during peak demand and removes when idle.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the size of the existing self-hosted runner VMs to handle more jobs.
Why it's wrong here
Larger VMs can run more jobs but still limited by concurrency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-400 question in full detail.
Identify which AZ-400 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Design and implement build and release pipelines — This question tests Design and implement build and release pipelines — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Implement auto-scaling for self-hosted runners using a scale set or Kubernetes-based runner controller. — GitHub Actions supports auto-scaling for self-hosted runners using scaling applications like 'actions-runner-controller' for Kubernetes or custom scripts. Option A is correct because it dynamically adds/removes runners based on demand. Option B increases cost and maintenance. Option C is for GitHub-hosted runners. Option D reduces wait but doesn't address root cause.
What should I do if I get this AZ-400 question wrong?
Identify which AZ-400 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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