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 team uses Azure Pipelines to deploy a microservices application to Azure Kubernetes Service (AKS). You need to implement a strategy that minimizes downtime during updates. Which TWO options should you use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure a rolling update strategy in the Kubernetes manifest.
Option C is correct because a rolling update strategy in Kubernetes gradually replaces old pods with new ones, ensuring that a minimum number of pods remain available throughout the update. This minimizes downtime by only terminating old pods after new ones are healthy, controlled by parameters like `maxSurge` and `maxUnavailable` in the Deployment manifest.
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.
✗
Set the deployment replica count to zero before updating.
Why it's wrong here
This would cause downtime.
✗
Use a canary deployment with a service mesh.
Why it's wrong here
Canary is zero-downtime but not the simplest minimal approach.
✓
Configure a rolling update strategy in the Kubernetes manifest.
Why this is correct
Rolling updates replace pods incrementally.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use a recreate deployment strategy.
Why it's wrong here
Recreate kills all pods before creating new ones, causing downtime.
✓
Implement a blue-green deployment pattern using separate namespaces.
Why this is correct
Blue-green switches traffic after full validation.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse a canary deployment (which is a valid zero-downtime strategy) with a blue-green deployment, but the question specifically asks for two options, and the correct pair is rolling update and blue-green, not canary.
Detailed technical explanation
How to think about this question
Rolling updates in Kubernetes use a ReplicaSet controller to orchestrate the gradual replacement of pods, with the Deployment object managing the desired state. The `maxSurge` and `maxUnavailable` fields (defaulting to 25%) control how many pods can be created above the desired count and how many can be unavailable during the update, allowing fine-tuning for zero-downtime deployments. Blue-green deployments, when implemented with separate namespaces, leverage Kubernetes Services to switch traffic between the blue (current) and green (new) environments, enabling instant rollback by reverting the service selector.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-400 question in full detail.
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: Configure a rolling update strategy in the Kubernetes manifest. — Option C is correct because a rolling update strategy in Kubernetes gradually replaces old pods with new ones, ensuring that a minimum number of pods remain available throughout the update. This minimizes downtime by only terminating old pods after new ones are healthy, controlled by parameters like `maxSurge` and `maxUnavailable` in the Deployment manifest.
What should I do if I get this AZ-400 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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Question Discussion
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