Managing Implementation and Ensuring Solution and Operations Reliability →mediumMultiple ChoiceObjective-mapped
Google PCA Practice Question: Managing Implementation and Ensuring Solution and Operations Reliability
Your team uses a GKE cluster with Autopilot mode. You want to ensure that your workloads can tolerate a node failure without manual intervention. What should you do?
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
✓
Configure a PodDisruptionBudget and deploy multiple replicas of your pods across different nodes
GKE Autopilot automatically manages nodes and provides workload-level SLAs. By setting the pod's 'disruption budget' and ensuring replicas are distributed across nodes (which Autopilot does by default), the cluster will automatically reschedule pods if a node fails. No manual node management is required.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable cluster multi-zonal and set pod anti-affinity rules
Why it's wrong here
Autopilot clusters are regional by default; anti-affinity is not configurable.
- ✗
Create a node pool with multiple zones and enable cluster autoscaling
Why it's wrong here
Autopilot manages node pools automatically; you cannot create custom node pools.
- ✓
Configure a PodDisruptionBudget and deploy multiple replicas of your pods across different nodes
Why this is correct
Autopilot automatically handles node failures, but you should ensure your application is resilient by having multiple replicas and a PDB.
- ✗
Use StatefulSets with persistent volumes that are replicated across zones
Why it's wrong here
While StatefulSets help, they do not automatically handle node failure without additional configuration.
Go deeper
Related to this question
Learn chapter
Identity and Access Management (IAM)
Key term
Pod
A pod is the smallest deployable unit in Kubernetes, containing one or more containers that share storage, network, and a specification for how to run.
Key term
GKE
GKE is Google's managed Kubernetes service that automates deploying, scaling, and managing containerized applications in the cloud.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PCA 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 PCA exam.