- A
Keep the monolithic application on Compute Engine and use Cloud Monitoring to optimize resource utilization.
Why wrong: Does not achieve modernization benefits.
- B
Migrate all application components to Cloud Run and use Cloud Tasks for asynchronous communication.
Why wrong: Cloud Run has limitations for stateful workloads, increasing complexity.
- C
Rewrite the entire application as microservices and deploy on GKE with Istio for service mesh.
Why wrong: This increases operational complexity without a phased approach.
- D
Identify stateless components to migrate to Cloud Run, and keep stateful components on GKE with managed services like Cloud Spanner.
Balances modernization with reduced complexity by using serverless where appropriate.
Question 577 of 1,000
Best Approach to Modernize Monolith: Cloud Run for Stateless, GKE for Stateful
This PCA practice question tests your understanding of analyze and optimize technical and business processes. 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.
A company runs a monolithic application on Compute Engine. They want to modernize by moving to microservices on Google Kubernetes Engine (GKE) to improve deployment frequency and resource utilization. However, they are concerned about the increased operational complexity. Which approach best balances modernization benefits with operational overhead?
Quick Answer
The answer is to identify stateless components to migrate to Cloud Run, and keep stateful components on GKE with managed services like Cloud Spanner. This approach correctly balances complexity with modernization benefits because Cloud Run eliminates infrastructure management for stateless workloads—offering automatic scaling and zero ops overhead—while GKE retains control over stateful services that require persistent storage and orchestration. On the Google Professional Cloud Architect exam, this scenario tests your ability to pragmatically decompose a monolith without forcing a full rewrite, a common trap where candidates overcommit to GKE for everything, ignoring serverless options. The key insight is that Cloud Run reduces operational burden for stateless microservices, while GKE handles stateful components with managed databases like Cloud Spanner to avoid data consistency issues. Memory tip: think “stateless to serverless, stateful stays on GKE” to quickly recall the hybrid strategy.
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
✓
Identify stateless components to migrate to Cloud Run, and keep stateful components on GKE with managed services like Cloud Spanner.
Option D is correct because it pragmatically balances modernization benefits with operational overhead by migrating only stateless components to Cloud Run (a fully managed serverless platform that reduces operational complexity) while keeping stateful components on GKE with managed services like Cloud Spanner. This approach improves deployment frequency and resource utilization without requiring a full rewrite, and it leverages Cloud Run's automatic scaling and zero infrastructure management to minimize operational burden.
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.
- ✗
Keep the monolithic application on Compute Engine and use Cloud Monitoring to optimize resource utilization.
Why it's wrong here
Does not achieve modernization benefits.
- ✗
Migrate all application components to Cloud Run and use Cloud Tasks for asynchronous communication.
Why it's wrong here
Cloud Run has limitations for stateful workloads, increasing complexity.
- ✗
Rewrite the entire application as microservices and deploy on GKE with Istio for service mesh.
Why it's wrong here
This increases operational complexity without a phased approach.
- ✓
Identify stateless components to migrate to Cloud Run, and keep stateful components on GKE with managed services like Cloud Spanner.
Why this is correct
Balances modernization with reduced complexity by using serverless where appropriate.
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 misconception that full microservices migration (Option C) is always the best modernization path, but the trap here is that candidates overlook the operational overhead of service mesh and full rewrites, failing to recognize that a hybrid approach using serverless for stateless components reduces complexity while still achieving modernization goals.
Detailed technical explanation
How to think about this question
Cloud Run runs containers in a serverless environment on Google's infrastructure, automatically scaling from zero based on HTTP requests, and it supports gRPC and HTTP/2 for efficient communication. Managed services like Cloud Spanner provide globally distributed, strongly consistent relational database capabilities, offloading state management from the application layer. In a real-world scenario, a company might migrate its user-facing API (stateless) to Cloud Run while keeping its order processing database on Cloud Spanner, achieving faster deployments without the overhead of managing a Kubernetes cluster for the entire stack.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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 |
What to study next
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FAQ
Questions learners often ask
What does this PCA question test?
Analyze and optimize technical and business processes — This question tests Analyze and optimize technical and business processes — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Identify stateless components to migrate to Cloud Run, and keep stateful components on GKE with managed services like Cloud Spanner. — Option D is correct because it pragmatically balances modernization benefits with operational overhead by migrating only stateless components to Cloud Run (a fully managed serverless platform that reduces operational complexity) while keeping stateful components on GKE with managed services like Cloud Spanner. This approach improves deployment frequency and resource utilization without requiring a full rewrite, and it leverages Cloud Run's automatic scaling and zero infrastructure management to minimize operational burden.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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