hardMultiple Choice
Google PCA Practice Question: Wants to deploy a containerized microservices…
An organization wants to deploy a containerized microservices architecture on Google Kubernetes Engine (GKE) and minimize operational overhead. They do not need to manage the node infrastructure and are willing to accept some limitations on node configuration. Which GKE mode should they choose?
⚠ Common exam trap
The trap is confusing GKE Autopilot with serverless container platforms like Cloud Run — candidates pick Cloud Run for Anthos thinking it is the managed GKE mode, but Autopilot is the GKE-native answer that preserves Kubernetes API compatibility while removing node management.
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
✓
GKE Autopilot mode
GKE Autopilot mode is a fully managed Kubernetes experience where Google manages the control plane and the nodes, including provisioning, scaling, and security patching. It minimizes operational overhead because users only deploy workloads and pay for the resources their pods consume, without managing node pools. The scenario explicitly accepts limitations on node configuration, which aligns with Autopilot's opinionated, hardened node management.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
GKE Standard mode with zonal cluster
Why it's wrong here
GKE Standard mode, zonal or regional, requires the customer to provision, scale and patch node pools, so operational overhead remains. It is tempting because Standard permits full node configuration control, but the scenario explicitly forgoes that control to minimise overhead, which Autopilot mode provides.
- ✗
Compute Engine with container-optimized OS and instance groups
Why it's wrong here
Standard mode requires you to provision and manage Compute Engine node pools yourself, so operational overhead stays with your team. It is tempting because instance groups suit bespoke node images or GPU shapes, but the stem explicitly rules out node management and accepts configuration limits, which Autopilot satisfies.
- ✗
Cloud Run for Anthos
Why it's wrong here
Cloud Run for Anthos runs serverless workloads on an existing Anthos cluster and does not provide a managed GKE control plane with node pools. It is tempting because it removes node management, but the scenario requires deploying microservices on GKE itself, which Autopilot mode satisfies.
- ✓
GKE Autopilot mode
Why this is correct
GKE Autopilot provisions and manages the nodes itself, so the organisation never handles node infrastructure, directly satisfying the minimal-operational-overhead constraint. Its trade-off is restricted node configuration, which the stem explicitly accepts, making it the fitting mode.
Go deeper
Related to this question
Learn chapter
Billing, Budgets, and Cost Management
Key term
AKS
Azure Kubernetes Service (AKS) is a managed container orchestration service on Microsoft Azure that simplifies deploying, managing, and scaling containerized applications using Kubernetes.
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 and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
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