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 is a suite of cloud computing services offering computing, data storage, networking, and analytics capabilities. It provides infrastructure as a service (IaaS), platform as a service (PaaS), and serverless options for building and running applications.
2. What are the key components of GCP?
Key components include Compute Engine for virtual machines, Cloud Storage for object storage, Cloud SQL for managed databases, Virtual Private Cloud (VPC) for networking, and Identity and Access Management (IAM) for security.
3. Explain the difference between IaaS, PaaS, and SaaS in GCP context.
IaaS provides virtualized computing resources like Compute Engine. PaaS offers platforms like App Engine for application development. SaaS delivers fully managed applications, though GCP focuses more on IaaS and PaaS services.
4. What is Compute Engine in GCP?
Compute Engine is GCP’s IaaS offering that provides virtual machines (VMs) for running workloads. Users can create, manage, and scale VMs with custom machine types and persistent disks.
5. What is Cloud Storage?
Cloud Storage is an object storage service for storing unstructured data like images, videos, and backups. It offers standard, nearline, coldline, and archive storage classes for different access patterns.
6. How does GCP ensure security and compliance?
GCP ensures security through IAM for access control, data encryption at rest and in transit, VPC firewall rules, and compliance certifications like PCI DSS and HIPAA. Tools like Cloud Security Command Center monitor vulnerabilities.
7. 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.
8. What is the purpose of IAM in GCP?
Identity and Access Management (IAM) controls access to GCP resources using roles and permissions. It follows the principle of least privilege to secure resources.
9. What is a VPC in GCP?
Virtual Private Cloud (VPC) is a virtual networking environment that provides isolated networking for GCP resources. It supports subnets, firewall rules, and custom IP ranges.
10. What is Cloud Monitoring?
Cloud Monitoring collects metrics, logs, and events from GCP resources to provide visibility into performance and health. It enables alerting and dashboards.
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 or load balancing metrics. The autoscaler adds or removes instances based on demand.
12. What is Google Kubernetes Engine (GKE)?
GKE is a managed Kubernetes service for deploying, managing, and scaling containerized applications. It automates cluster operations like upgrades and scaling.
13. Compare GKE Autopilot and GKE Standard modes.
GKE Standard requires managing node pools and upgrades, offering flexibility. GKE Autopilot fully manages nodes; you only define pods and pay per pod resources.
14. What is Cloud Pub/Sub?
Cloud Pub/Sub is a messaging service for asynchronous communication between applications. Publishers send messages to topics, and subscribers receive from subscriptions.
15. Explain Cloud Dataflow.
Cloud Dataflow is a fully managed service for stream and batch data processing based on Apache Beam. It handles scaling, fault tolerance, and resource management.
16. What is Cloud Spanner?
Cloud Spanner is a globally distributed relational database providing strong consistency, horizontal scalability, and high availability across regions.
17. How do you set up a CI/CD pipeline using Cloud Build?
Create a cloudbuild.yaml file defining build steps, connect your source repository, and set up triggers for automatic builds on code commits.
steps:
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/app', '.']
- name: 'gcr.io/cloud-builders/gke-deploy'
args:
- run
- --filename=kubernetes.yaml
- --image=gcr.io/$PROJECT_ID/app
- --location=us-central1
18. What is Artifact Registry?
Artifact Registry is a managed service for storing container images, package artifacts, and other build outputs. It supports Docker and other formats.
19. Explain Cloud Run.
Cloud Run is a serverless platform for running stateless containers that scale automatically. It handles requests and scales to zero when idle.
20. How do you migrate data from on-premises to GCP?
Assess the environment, select tools like Storage Transfer Service or Database Migration Service, transfer data, validate integrity, and optimize post-migration.
Advanced Google Cloud Questions (21-30)
21. Describe steps to migrate an on-premises application to GCP at Zoho.
Assess architecture and dependencies, provision Compute Engine or GKE resources, migrate data using Cloud Storage Transfer, deploy the application, test thoroughly, and optimize for cost and performance.
22. How would you design a highly available application across regions for Paytm?
Use Global HTTP(S) Load Balancer for traffic routing, deploy GKE clusters in multiple regions, use Cloud Spanner for data, and Cloud Storage multi-region buckets.
23. What is the difference between Firestore Native and Datastore modes?
Native mode offers strong consistency and real-time updates for new apps. Datastore mode provides backward compatibility with eventual consistency for legacy services.
24. How do you provision GCP resources using Terraform for Salesforce?
Install Terraform and Google Cloud SDK, create configuration files with provider and resource blocks, run terraform init and terraform apply.
provider "google" {
project = "my-project"
region = "us-central1"
}
resource "google_compute_instance" "vm" {
name = "app-instance"
machine_type = "e2-medium"
zone = "us-central1-a"
boot_disk {
initialize_params {
image = "debian-cloud/debian-11"
}
}
}
25. Explain Cloud Run concurrency and scaling.
Cloud Run supports multiple requests per instance (concurrency) and scales instances automatically based on traffic, down to zero when idle.
26. How do you ensure compliance in GCP for SAP?
Use Cloud IAM for access control, enable audit logging, apply organization policies, and use Cloud Security Command Center for monitoring.
27. What is Cloud AutoML?
Cloud AutoML enables building custom machine learning models using a drag-and-drop interface without deep ML expertise.
28. How do you securely access GCP resources using SSH tunneling at Atlassian?
Set up SSH tunneling for secure database connections to Cloud SQL, bypass firewalls, and enable secure file transfers via SCP or SFTP.
29. Design a CI/CD pipeline for Swiggy using GCP services.
Use Cloud Source Repositories for code, Cloud Build for CI, Artifact Registry for artifacts, Cloud Deploy for CD to GKE or Cloud Run, and Cloud Monitoring for observability.
30. How do you optimize costs for a Flipkart workload on GCP?
Use committed use discounts, preemptible VMs, auto-scaling, right-size instances, and monitor with Cloud Billing reports to identify savings opportunities.
