- A
Migrate the backend to Cloud SQL for MySQL with cross-region replication, and keep the frontend on GKE with multi-region ingress.
Why wrong: The backend is a statefulset, not a relational database; migrating to Cloud SQL would require significant application changes and may not be compatible.
- B
Deploy the frontend and backend in a regional GKE cluster and use regional persistent disks for the statefulset, replicating data synchronously across zones.
Why wrong: Regional persistent disks replicate within a region, not across regions; cannot survive a regional outage.
- C
Deploy the frontend and backend in a single zonal cluster in us-central1-a, and use scheduled snapshots of persistent disks to a different region.
Why wrong: A single zonal cluster cannot survive a regional failure; the cluster itself is down.
- D
Deploy the frontend and backend in a regional GKE cluster across us-central1, and use a CronJob to take snapshots of persistent volumes every hour and copy them to a secondary region. In disaster, restore the snapshots to a new cluster in the secondary region.
Regional cluster survives zonal failure; snapshots provide cross-region backup with RPO 1 hour and RTO within 30 minutes if restore is automated.
Quick Answer
The answer is to deploy the frontend and backend in a regional GKE cluster and use a CronJob to take hourly snapshots of persistent volumes, copying them to a secondary region for disaster recovery. This approach meets the RPO of 1 hour by scheduling incremental snapshots every 60 minutes, while the RTO of 30 minutes is achievable by automating the restoration of those snapshots into a new GKE cluster in the secondary region during a failure. On the Google Professional Cloud Architect exam, this scenario tests your understanding of balancing cost against recovery objectives for stateful workloads, often appearing as a trap where candidates over-engineer with synchronous replication or always-on standby clusters. The key insight is that the backend’s read-only mode in the secondary region allows you to avoid paying for a hot standby, using cheap snapshot storage instead. Memory tip: think “Snap and Ship” — snapshot hourly to hit RPO, ship to secondary for quick restore to hit RTO.
Google PCA Manage implementation of cloud architecture Practice Question
This PCA practice question tests your understanding of manage implementation of cloud architecture. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 company runs a critical application on Google Kubernetes Engine (GKE) in us-central1. The application consists of a frontend deployment with 3 replicas and a backend statefulset with 5 replicas using persistent volumes (SSD). Recently, the team noticed that during a regional outage in us-central1, the application became completely unavailable. They want to design a multi-region architecture that can survive a regional failure with RPO of 1 hour and RTO of 30 minutes. The application is stateless on the frontend but the backend stores critical data on persistent disks. The backend can operate in a read-only mode from a secondary region if needed. They have a limited budget and want to minimize ongoing costs. Which approach should they take?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
Deploy the frontend and backend in a regional GKE cluster across us-central1, and use a CronJob to take snapshots of persistent volumes every hour and copy them to a secondary region. In disaster, restore the snapshots to a new cluster in the secondary region.
Option D meets the RPO of 1 hour by using a CronJob to take hourly snapshots of PersistentVolume data and copy them to a secondary region. In a disaster, you restore those snapshots to a new GKE cluster in the secondary region, achieving an RTO of 30 minutes by automating the restore process. This approach minimizes ongoing costs because snapshots are incremental and you only pay for storage in the secondary region when needed, while the frontend remains stateless and can be redeployed quickly.
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.
- ✗
Migrate the backend to Cloud SQL for MySQL with cross-region replication, and keep the frontend on GKE with multi-region ingress.
Why it's wrong here
The backend is a statefulset, not a relational database; migrating to Cloud SQL would require significant application changes and may not be compatible.
- ✗
Deploy the frontend and backend in a regional GKE cluster and use regional persistent disks for the statefulset, replicating data synchronously across zones.
Why it's wrong here
Regional persistent disks replicate within a region, not across regions; cannot survive a regional outage.
- ✗
Deploy the frontend and backend in a single zonal cluster in us-central1-a, and use scheduled snapshots of persistent disks to a different region.
Why it's wrong here
A single zonal cluster cannot survive a regional failure; the cluster itself is down.
- ✓
Deploy the frontend and backend in a regional GKE cluster across us-central1, and use a CronJob to take snapshots of persistent volumes every hour and copy them to a secondary region. In disaster, restore the snapshots to a new cluster in the secondary region.
Why this is correct
Regional cluster survives zonal failure; snapshots provide cross-region backup with RPO 1 hour and RTO within 30 minutes if restore is automated.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between zonal, regional, and multi-region resilience; the trap here is that candidates may choose regional persistent disks (Option B) thinking they provide multi-region protection, when in fact they only replicate across zones within a single region.
Detailed technical explanation
How to think about this question
Persistent Disk snapshots are stored in Cloud Storage and are regional by default, but you can copy them to another region using the `gcloud compute disks snapshot` command and `gcloud compute images create` with `--source-snapshot` or by using the `--storage-location` flag. The CronJob in GKE can use a service account with appropriate IAM roles to automate snapshot creation and transfer, and the restore process involves creating new PersistentVolumeClaims from the snapshots in the secondary region. This approach leverages the fact that snapshots are incremental and cost-effective, as only changed blocks are stored after the initial snapshot.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Questions learners often ask
What does this PCA question test?
Manage implementation of cloud architecture — This question tests Manage implementation of cloud architecture — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Deploy the frontend and backend in a regional GKE cluster across us-central1, and use a CronJob to take snapshots of persistent volumes every hour and copy them to a secondary region. In disaster, restore the snapshots to a new cluster in the secondary region. — Option D meets the RPO of 1 hour by using a CronJob to take hourly snapshots of PersistentVolume data and copy them to a secondary region. In a disaster, you restore those snapshots to a new GKE cluster in the secondary region, achieving an RTO of 30 minutes by automating the restore process. This approach minimizes ongoing costs because snapshots are incremental and you only pay for storage in the secondary region when needed, while the frontend remains stateless and can be redeployed quickly.
What should I do if I get this PCA question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on PCA
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Your organization is moving a legacy monolithic application to Google Kubernetes Engine (GKE). The application currently runs on a single virtual machine with a local MySQL database. You need to design a cloud-native architecture that improves scalability and reliability. Which two actions should you take? (Choose TWO.)
medium- A.Deploy the entire application in a single container with a large custom machine type to handle load.
- ✓ B.Refactor the application into microservices and deploy each as a separate deployment in GKE.
- C.Expose the application using a simple Service of type LoadBalancer with round-robin distribution.
- ✓ D.Use Cloud SQL for MySQL instead of running the database in the same cluster.
- E.Use a single Pod with multiple containers that communicate via localhost to reduce latency.
Why B: Option B is correct because refactoring the monolithic application into microservices and deploying each as a separate Deployment in GKE aligns with cloud-native principles, enabling independent scaling, fault isolation, and easier updates. This approach improves scalability and reliability by allowing each microservice to scale horizontally based on demand, and failures in one service do not cascade to others.
Last reviewed: Jun 30, 2026
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.
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