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Google PCA Practice Question: Use a multi-cloud strategy to avoid vendor…
A company wants to use a multi-cloud strategy to avoid vendor lock-in and run workloads on both Google Cloud and AWS. They need to manage Kubernetes clusters across both environments consistently. Which TWO Google Cloud services can help achieve this?
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
✓
Config Sync
Anthos (now GKE Enterprise) provides a consistent Kubernetes platform across on-premises and multiple clouds, including AWS. Config Sync is a component of Anthos that enables configuration management across clusters. BigQuery Omni allows querying data across clouds but is for analytics. Cloud Run is serverless and not for multi-cloud Kubernetes management. GKE on AWS is deprecated; Anthos is the recommended approach.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Config Sync
Why this is correct
Config Sync is part of Anthos that syncs configuration across clusters, including multi-cloud.
- ✗
Cloud Run
Why it's wrong here
Cloud Run is a serverless container platform on GCP only, not for multi-cloud cluster management.
- ✗
BigQuery Omni
Why it's wrong here
BigQuery Omni allows cross-cloud analytics, not Kubernetes cluster management.
- ✗
GKE on AWS
Why it's wrong here
GKE on AWS is deprecated; Anthos is the current solution for multi-cloud Kubernetes.
- ✓
Anthos (GKE Enterprise)
Why this is correct
Anthos provides a consistent multi-cloud Kubernetes management platform.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
Go deeper
Related to this question
Learn chapter
Introduction to Google Cloud Platform
Key term
GKE
GKE is Google's managed Kubernetes service that automates deploying, scaling, and managing containerized applications in the cloud.
Key term
Data
Data is raw, unprocessed information, like numbers, words, or measurements, that can be stored, processed, and analyzed by computers.
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This PCA question is part of Courseiva's 955-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
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.