Top Google Cloud Platform (GCP) Interview Questions and Answers

Here are top Google Cloud interview questions,

1. What is Google Cloud Platform (GCP)?

Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google that offers a variety of services, including computing, storage, machine learning, data analytics, networking, and more.

 

2. Explain the differences between Google Compute Engine and Google Kubernetes Engine (GKE).

Google Compute Engine is an Infrastructure as a Service (IaaS) offering that allows users to create and manage virtual machines, while Google Kubernetes Engine (GKE) is a managed Kubernetes service that automates container orchestration and scaling.

 

3. What is Google Cloud Storage?

Google Cloud Storage is an object storage service that allows users to store and retrieve any amount of data in a secure and cost-effective manner. It is ideal for storing unstructured data like images, videos, backups, and large datasets.

 

4. Describe the key features of Google App Engine.

Google App Engine is a Platform as a Service (PaaS) offering that enables developers to build and host applications without managing the underlying infrastructure. Key features include automatic scaling, built-in services, and support for multiple programming languages.

 

5. How does Google Cloud Pub/Sub work?

Google Cloud Pub/Sub is a messaging service that allows applications to exchange messages in real-time. Publishers send messages to topics, and subscribers receive messages from those topics asynchronously.

 

6. What is Google Cloud BigQuery?

Google Cloud BigQuery is a fully-managed, serverless data warehouse service for analyzing large datasets using SQL-like queries. It enables high-speed analysis of big data with real-time results.

 

7. Explain the differences between Google Cloud Functions and Google Cloud Run.

Google Cloud Functions and Google Cloud Run both allow developers to run code in the cloud, but Cloud Functions is mainly used for lightweight event-driven functions, while Cloud Run supports running stateless HTTP containers.

 

8. How does Google Cloud AutoML work?

Google Cloud AutoML is a suite of machine learning services that allows users to build custom machine learning models with minimal code. It uses Google's pre-trained models and transfer learning to streamline the model development process.

 

9. What is Google Cloud IAM (Identity and Access Management)?

Google Cloud IAM is a service that helps manage access and permissions for resources in Google Cloud. It allows administrators to control who can do what with specific resources.

 

10. Explain the purpose of Google Cloud VPN (Virtual Private Network).

Google Cloud VPN enables secure communication between a company's on-premises network and resources hosted on Google Cloud Platform through an encrypted tunnel over the public internet.

 

11. What is Google Cloud CDN (Content Delivery Network)?

Google Cloud CDN is a distributed network of servers that caches and delivers content from websites and applications to users based on their geographic location, reducing latency and improving performance.

 

12. How does Google Cloud Identity-Aware Proxy (IAP) enhance security?

Google Cloud IAP provides secure access control to applications running on GCP by verifying user identities before granting access. It enables granular control and eliminates the need for a VPN.

 

13. Explain the use case of Google Cloud Spanner.

Google Cloud Spanner is a globally-distributed, horizontally-scalable database service that allows users to perform consistent, high-performance transactions across multiple regions.

 

14. What are Google Cloud Deployment Manager templates?

Google Cloud Deployment Manager templates are YAML or Python files that define the resources needed to deploy and configure applications and services on GCP. They enable infrastructure as code (IAC) practices.

 

15. How does Google Cloud Load Balancing work?

Google Cloud Load Balancing distributes incoming traffic across multiple instances to ensure that no single instance is overwhelmed. It provides a scalable and reliable way to handle traffic to applications.

 

16. What is Google Cloud Dataproc?

Google Cloud Dataproc is a managed Spark and Hadoop service that allows users to process big data workloads quickly and efficiently in a cluster environment.

 

17. Explain the role of Google Cloud Composer.

Google Cloud Composer is a managed workflow orchestration service based on Apache Airflow. It helps automate and schedule data pipelines and workflows across various services on GCP.

 

18. How does Google Cloud Memorystore enhance application performance?

Google Cloud Memorystore is a fully-managed in-memory data store service based on Redis. It helps improve application performance by caching frequently accessed data and reducing latency.

 

19. What is the purpose of Google Cloud Security Scanner?

Google Cloud Security Scanner is a web application security tool that scans applications for common vulnerabilities, such as cross-site scripting (XSS) and mixed content.

 

20. Explain the benefits of using Google Cloud's private global network.

Google Cloud's private global network provides low-latency and secure communication between Google data centers, which enhances the overall performance and reliability of services hosted on GCP.

 

Above are few top Google Cloud interview questions. Remember to prepare and expand on these answers.

Good luck with your interview!  👍