DevOps GCP Interview Questions & Answers: Your Complete Guide to Ace the Cloud Interview

Getting ready for a DevOps interview on Google Cloud Platform (GCP)? Whether you’re an aspiring cloud engineer or a seasoned DevOps pro, understanding the most commonly asked DevOps GCP interview questions is key to nailing the job.

This guide dives into 17 real-world Q&As covering everything from CI/CD pipelines to Kubernetes, Terraform, Cloud Functions, VPC, and security—plus behavioral insights to show you’re a problem solver, not just a techie.

🔧 General GCP DevOps Knowledge

❓ Q1: What is DevOps, and how does it relate to GCP?

Answer:
DevOps is the collaboration of software development and IT operations, aiming to shorten development cycles and ensure continuous delivery. GCP offers integrated tools like Cloud Build, Cloud Run, GKE, Artifact Registry, and Cloud Monitoring to enable DevOps workflows efficiently.

❓ Q2: What are key DevOps services in GCP?

Answer:

• Cloud Build – Automates builds and tests

• GKE – Managed Kubernetes

• Cloud Run – Serverless container hosting

• Cloud Functions – Event-driven serverless computing

• Artifact Registry – Secure image storage

• Terraform / Deployment Manager – IaC tools

• Cloud Monitoring & Logging – Observability

🛠️ CI/CD & Automation

❓ Q3: How do you set up a CI/CD pipeline in GCP?

Answer:

• Source: Cloud Source Repositories or GitHub

• Build: Cloud Build

• Artifact Storage: Artifact Registry

• Deploy: Cloud Run or GKE

• Monitor: Cloud Monitoring & Logging

❓ Q4: How does Cloud Build work?

Answer:
It automates testing and deployments using a cloudbuild.yaml file to define steps. Example:

❓ Q5: What’s the difference between Cloud Run and GKE?

Answer:

⚙️ Infrastructure as Code

❓ Q6: How do you use Terraform with GCP?

Answer:

• Define infrastructure using .tf files

• Example: Provision a VM with google_compute_instance

• Run terraform init and terraform apply to deploy

❓ Q7: Difference between Terraform and Deployment Manager?

Answer:

• Deployment Manager is GCP-native (YAML/Python)

• Terraform supports multi-cloud, reusable modules, larger community support

🐳 Kubernetes & Containers

❓ Q8: Key features of GKE?

Answer:

• Managed Kubernetes with auto upgrades

• Pod and node autoscaling

• Helm chart support

• Logging and monitoring integration

• Support for private clusters

❓ Q9: How do you deploy an app on GKE?

Answer:

1. Build & push Docker image to Artifact Registry

2. Create a Kubernetes deployment.yaml

3. Deploy with kubectl apply -f deployment.yaml

❓ Q10: Difference between Pod, Deployment, and Service?

Answer:

• Pod: Smallest deployable unit (container)

• Deployment: Manages pod replicas, handles rollout/rollback

• Service: Exposes pods, handles load balancing

🔒 Networking & Security

❓ Q11: How to secure Kubernetes on GCP?

Answer:

• Use private clusters

• Enforce IAM and RBAC

• Define Network Policies

• Use Workload Identity for GCP service access

• Enable Cloud Armor for DDoS protection

❓ Q12: How do you monitor logs and metrics?

Answer:

• Cloud Monitoring for CPU, memory, uptime

• Cloud Logging for container and VM logs

• Example:

❓ Q13: What is Google Cloud VPC?

Answer:
A Virtual Private Cloud allows:

• Private networking between services

• Fine-grained firewall rules

• Hybrid cloud via VPC Peering

🧱 High Availability & Scalability

❓ Q14: How do you ensure high availability?

Answer:

• Use Managed Instance Groups

• Deploy multi-zone GKE clusters

• Use Load Balancers (HTTP, TCP)

• Store data in Cloud SQL with failover

❓ Q15: What is GCP Load Balancer?

Answer:
Distributes traffic across services:

• Global Load Balancer for HTTP(S)

• TCP/UDP for network traffic

• Internal for private VPC communication

💼 Behavioral & Scenario-Based

❓ Q16: Share a challenge you faced in GCP DevOps.

Answer:
Example: Fixed high CPU usage in GKE by:

• Implementing Horizontal Pod Autoscaler

• Optimizing Docker images

• Debugging with Cloud Logging

❓ Q17: How do you stay updated?

Answer:

• Follow GCP blogs, attend webinars

• Hands-on with Qwiklabs

• Contribute to open-source DevOps projects

📌 Final Thoughts

Whether you’re applying for a cloud engineer role or leveling up your DevOps journey, mastering these DevOps GCP interview questions will give you a solid edge. Practice hands-on, understand the theory, and don’t just memorize answers—be ready to explain your decisions and problem-solving approach.

❓ FAQs

Q: Are these questions suitable for entry-level roles?
Yes, but interviewers will expect deeper insights from experienced candidates.

Q: How do I practice GCP services?
Use free GCP credits or platforms like Qwiklabs and Cloud Skills Boost.

Q: What certification can help?
Start with the Associate Cloud Engineer or Professional DevOps Engineer certification.

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