Prepare for your Google Cloud interview with these 30 carefully curated questions and answers. Covering basic, intermediate, and advanced topics, this guide helps freshers, candidates with 1-3 years of experience, and professionals with 3-6 years of experience master Google Cloud Platform (GCP) concepts, services, and real-world scenarios.
Basic Google Cloud Questions (1-10)
1. What is Google Cloud Platform (GCP)?
Google Cloud Platform (GCP) is a suite of cloud computing services offering computing, storage, networking, big data, machine learning, and more. It provides infrastructure as a service (IaaS), platform as a service (PaaS), and serverless options for building and running applications.[1][6]
2. What are the differences between IaaS, PaaS, and SaaS in GCP?
IaaS provides virtual machines and storage like Compute Engine. PaaS offers managed platforms like App Engine for app deployment without infrastructure management. SaaS delivers fully managed applications.[6]
3. What are regions and zones in GCP?
A region is a specific geographical location with multiple zones. A zone is an isolated location within a region containing data centers. GCP has multiple regions worldwide, each with 3+ zones for high availability.[5]
4. How do you choose a region or zone in GCP?
Select based on latency requirements, data residency compliance, cost, and availability of services. For low latency, choose regions close to users; for compliance, pick regions meeting regulations.[5]
5. What is Google Cloud Shell?
Google Cloud Shell is a browser-based terminal with the GCP CLI pre-installed. It allows developing, building, debugging, and deploying cloud applications directly from the browser.[5]
6. What are the key components of GCP?
Key components include Compute Engine for VMs, Cloud Storage for object storage, Cloud SQL for managed databases, Virtual Private Cloud (VPC) for networking, and IAM for access control.[6]
7. What is Compute Engine in GCP?
Compute Engine provides scalable virtual machines running Windows or Linux. It supports custom machine types, GPUs, and persistent disks for flexible workloads.[1][6]
8. Explain Google Cloud Storage classes.
Storage classes include Standard for frequent access, Nearline for infrequent access, Coldline for archival, and Archive for long-term storage, each optimized for cost and access frequency.[1]
9. What is Cloud SQL?
Cloud SQL is a fully managed relational database service supporting MySQL, PostgreSQL, and SQL Server. It handles backups, patching, and scaling automatically.[1]
10. What is IAM in GCP?
Identity and Access Management (IAM) controls access to GCP resources using roles and permissions. It follows least privilege principle with predefined and custom roles.[4]
Intermediate Google Cloud Questions (11-20)
11. How do you implement auto-scaling in Compute Engine?
Create an instance group with an autoscaler policy defining target CPU utilization, requests per minute, or custom metrics. The autoscaler adds or removes instances automatically.[2]
12. What is Google Kubernetes Engine (GKE)?
GKE is a managed Kubernetes service for deploying, managing, and scaling containerized applications. It automates cluster provisioning, upgrades, and scaling.[1]
13. Explain the steps to set up a CI/CD pipeline using Cloud Build.
Create a cloudbuild.yaml file defining build steps. Connect source repository like Cloud Source Repositories, then set up triggers for automatic builds on code commits.[2][4]
steps:
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/myapp', '.']
- name: 'gcr.io/cloud-builders/docker'
args: ['push', 'gcr.io/$PROJECT_ID/myapp']
14. What is Cloud Pub/Sub?
Cloud Pub/Sub is a messaging service for asynchronous communication between applications. Publishers send messages to topics; subscribers receive from subscriptions.[2]
15. How do you migrate data from on-premises to GCP?
Assess environment and requirements. Use Storage Transfer Service for files or Database Migration Service for databases. Validate data integrity post-migration.[2]
16. What are deployment options in GCP?
GCP offers Compute Engine for VMs, GKE for containers, App Engine for PaaS, and Cloud Functions for serverless event-driven code.[5]
17. Explain Artifact Registry in GCP.
Artifact Registry is a managed service for storing container images, package managers, and build artifacts. It replaces Container Registry with better security and integration.[1][4]
18. How do you create a Compute Engine instance using Terraform?
Install Terraform and GCP SDK. Write a configuration file with provider and resource blocks, then run terraform init and terraform apply.[2]
provider "google" {
project = "my-project"
}
resource "google_compute_instance" "vm" {
name = "my-vm"
machine_type = "e2-medium"
zone = "us-central1-a"
boot_disk {
initialize_params {
image = "debian-cloud/debian-11"
}
}
}
19. What is Cloud Dataflow?
Cloud Dataflow is a fully managed service for stream and batch data processing based on Apache Beam. It handles scaling, provisioning, and optimization.[2]
20. How do you secure database connections in GCP?
Use Cloud SQL Auth Proxy or private IP with VPC. Enable SSL/TLS encryption and IAM database authentication for secure access.[1]
Advanced Google Cloud Questions (21-30)
21. Describe steps to migrate an on-premises application to GCP.
Assess architecture and plan strategy (rehost, replatform, refactor). Provision resources like Compute Engine or GKE. Migrate data using Transfer Service, deploy, test, and optimize.[1]
22. How do you set up multi-region deployment for high availability?
Use global load balancing with backend services in multiple regions. Deploy across zones/regions with Cloud DNS and Traffic Director for failover.[3]
23. What is Zero Trust architecture in GCP?
Zero Trust verifies every access request regardless of origin. Implement with IAM, BeyondCorp Enterprise, context-aware access, and continuous monitoring.[3]
24. Explain disaster recovery strategies in GCP.
Define RTO/RPO. Use multi-region replication in Cloud Storage, automated backups in Cloud SQL, and pilot light/warm standby architectures with Compute Engine.[3]
25. How do you automate GCP resource provisioning?
Use Deployment Manager or Terraform for infrastructure as code. Define templates/scripts for repeatable provisioning of VMs, networks, and services.[4]
26. What is Cloud Security Command Center?
Cloud Security Command Center (SCC) provides visibility into security state. It monitors misconfigurations, vulnerabilities, and compliance across GCP resources.[4]
27. How do you deploy to Cloud Run using Cloud Build?
Configure Cloud Build trigger on code push. Build Docker image and deploy to Cloud Run in cloudbuild.yaml with gcr.io/cloud-builders/docker and gcr.io/google.com/cloudsdktool/cloud-sdk.[4]
28. Explain VPC peering in GCP.
VPC peering connects two VPC networks privately without gateways. It enables direct communication between instances in different VPCs for scenarios like Salesforce and Zoho integrations.[1]
29. How do you ensure scalability and performance in GCP designs?
Use autoscaling groups, load balancers, caching with Memorystore, CDN with Cloud CDN, and database sharding. Monitor with Cloud Monitoring for optimization.[3]
30. Describe a scenario: How would Atlassian optimize costs for GCP workloads at Swiggy scale?
Implement committed use discounts for predictable Compute Engine workloads. Use preemptible VMs for batch jobs, rightsizing with Recommender, and scheduled shutdowns. Monitor costs with Billing Budgets and Cloud Billing reports.[1][4]
