mediumMultiple ChoiceObjective-mapped
Google ACE Practice Question: A team wants to roll back a GKE Deployment to its…
A team wants to roll back a GKE Deployment to its previous revision because the new version introduced a regression. Which kubectl command performs this rollback?
⚠ Common exam trap
Google Cloud often tests the distinction between `rollout undo` and non-existent commands like `revert`, or the misconception that reapplying an old YAML file is equivalent to a proper rollback, when in fact it bypasses the Deployment's revision history and can cause version mismatches.
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
✓
kubectl rollout undo deployment/my-app
`kubectl rollout undo deployment/my-app` is the standard Kubernetes command to roll back a Deployment to the previous revision. This command leverages the Deployment's revision history, which is automatically maintained by the Kubernetes controller, to revert the desired state to the prior revision without needing to manually reapply an old manifest.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
kubectl revert deployment/my-app --to-previous
Why it's wrong here
`kubectl revert` is not a valid kubectl subcommand; the kubectl CLI has no `revert` verb. Running this command would fail immediately with an unknown command error, so it cannot perform any rollback. The correct imperative verb for rolling back a Deployment is always `kubectl rollout undo`, which operates on the controller's revision history rather than a hypothetical `--to-previous` flag.
- ✓
kubectl rollout undo deployment/my-app
Why this is correct
`kubectl rollout undo deployment/my-app` is the built-in rollback mechanism. It instructs the Deployment controller to revert the pod template to the spec from the previous ReplicaSet revision, scaling up the old ReplicaSet and scaling down the new one. This preserves the Deployment's revision history, so you can undo again or jump to a specific revision with `--to-revision`. It is the correct, declarative way to return to a stable version without recreating the Deployment object or disrupting its managed state.
- ✗
kubectl apply -f previous-deployment.yaml
Why it's wrong here
Applying `kubectl apply -f previous-deployment.yaml` reapplies a static manifest file, which does not interact with the Deployment’s revision history managed by the controller. The correct rollback mechanism uses `kubectl rollout undo` to revert to a prior revision stored in the Deployment’s annotation. This option is tempting because `apply` is the standard way to update a Deployment from a file, and it would work if the team wanted to redeploy a known-good configuration from source control rather than rolling back through the built-in revision system.
- ✗
kubectl delete deployment/my-app && kubectl create -f deployment.yaml
Why it's wrong here
Deleting the Deployment with `kubectl delete` removes the Deployment object and all of its underlying ReplicaSets, including the rollout revision history stored in annotations. This causes downtime while the pod is recreated, and the subsequent `kubectl create` starts a fresh Deployment with no previous revisions, so you cannot roll back further. The operation is also not a rollback—it merely reapplies whatever is in the YAML file, which may or may not match the last stable version.
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Related to this question
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Google Kubernetes Engine (GKE)
Key term
GKE
GKE is Google's managed Kubernetes service that automates deploying, scaling, and managing containerized applications in the cloud.
Key term
Anthos
Anthos is a Google Cloud platform that lets you run applications consistently across different computing environments, like on-premises data centers and multiple public clouds.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This ACE practice question is part of Courseiva's free Google Cloud 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 ACE exam.