Programming
AI/ML
Automation (RPA)
Software Design
JS Frameworks
.Net Stack
Java Stack
Django Stack
Database
DevOps
Testing
Cloud Computing
Mobile Development
SAP Modules
Salesforce
Networking
BIG Data
BI and Data Analytics
Web Technologies
All Interviews

Top 39 GCP (Google Cloud Platform) Interview Questions and Answers

02/Dec/2020 | 15 minutes to read

cloud

Here is a List of essential GCP (Google Cloud Platform) Interview Questions and Answers for Freshers and mid level of Experienced Professionals. All answers for these GCP (Google Cloud Platform) questions are explained in a simple and easiest way. These basic, advanced and latest GCP (Google Cloud Platform) questions will help you to clear your next Job interview.


GCP (Google Cloud Platform) Interview Questions and Answers

All questions are targeted for Google Cloud Platform (GCP) developer. We have a separate document for Common Cloud Computing interview questions. You must know the answers of these frequently asked GCP questions to clear the Google Cloud Developer or Sales interview.


1. What is GCP (Google Cloud Platform)?

GCP (Google Cloud Platform) is a cloud platform managed by Google. It is a suite of Compute, Storage, Virtual Machine, Networking, Big Data, Machine Learning, Databases and Management services and many more. All these services run on the same infrastructure of Google that Google uses for it's end user products like Gmail, YouTube and Google Search.

2. List some Google Cloud Products.

There are some featured products of Google Cloud as below.

  • BigQuery - Data warehouse for business insights.
  • Cloud CDN - It's a content delivery Network for images, audio, video etc.
  • Cloud Functions - Server-less execution, just write your code, Google will handle the infrastructure to run that
  • Cloud Run - A managed environment to run containerized applications.
  • Cloud SDK - provides command line tools and other libraries for Google cloud.
  • Cloud SQL - provides Relational database services for PostgreSQL, SQL Server and MySQL.
  • Cloud Storage - Object storage in different formats that's secure and durable.
  • Compute Engine - provide virtual machines that run on Google's data centers.
  • Data Flow - provide streaming analytics for batch processing and streams.
  • Google Kubernetes Engine - It's a managed environment for running containerized applications.
  • Operations - Monitoring, logging and other performance services.
To see all the products of Google Cloud Platform visit this link GCP Products .

3. List some commonly used Google Cloud Services.

Below are the services of GCP which are commonly used.

  • Computing and hosting
  • Storage
  • Databases
  • Networking
  • Big data
  • Machine learning

4. What are the different computing and hosting services?

Google Cloud Platform provides many computing and hosting services as per your requirement.

  • Serverless computing - Google cloud's Cloud Functions provides a serverless execution environment known as FaaS (Function as a service). Just you need to write the code, Infrastructure will be handled by Google cloud. These functions are triggered by events.
  • Application Platform -
  • Containers
  • Virtual Machines
  • Combining computing and hosting options

4. Compare Google Cloud Platform, Microsoft Azure and AWS.

Google Cloud Platform (GCP), Microsoft Azure and Amazon Web Services (AWS) are the top cloud providers in the market. But when it comes deciding which one you should use it becomes very difficult. Every cloud provider in this list is offering most of the services like Compute Engine, Containerization, Storage, Database services, Cloud Security, Network services etc. For detailed comparison visit GCP vs AWS vs Azure and AWS vs Azure vs GCP Comparison.

5. List some Database services by GCP.

There are many Google cloud database services which help many enterprises to manage their data.

  • Bare Metal Solution is a relational database type and allows to migrate or lift and shift specialized workloads to Google cloud.
  • Cloud SQL is a fully managed, reliable and integrated relational database services for MySQL, MS SQL Server and PostgreSQL known as Postgres. It reduces maintenance cost and ensures business continuity.
  • Cloud Spanner
  • Cloud Bigtable
  • Firestore
  • Firebase Realtime Database
  • Memorystore
  • Google Cloud Partner Services
  • For more database products you can refer Google Cloud Databases
  • For more data base solutions you can refer Google cloud Database solutions

6. What are the Google Cloud storage services?

Google Cloud storage provides many services for your business which are running on Google Cloud's infrastructure.

  • Cloud Storage (Object storage)
  • Persistent disk
  • Local SSD
  • Cloud Storage (Archival storage)
  • Filestore
  • Data Transfer Services
  • Transfer Appliance
  • Cloud Storage for Firebase
  • Google Workspace
  • For more Google cloud storage refer Google Cloud Storage

7. What are the different Network services by GCP?

Google Cloud provides many Networking services and technologies that make it easy to scale and manage your network.

  • Hybrid connectivity helps to connect your infrastructure to Google Cloud
  • Virtual Private Cloud (VPC) - manage networking for your resources
  • Cloud DNS is a highly available global domain naming system (DNS) network.
  • Service Directory provides a service-centric network solution.
  • Cloud Load Balancing
  • Cloud CDN
  • Cloud Armor
  • Cloud NAT
  • Network Telemetry
  • VPC Service Controls
  • Network Intelligence Center
  • Network Service Tiers
  • For more about Networking products refer Google Cloud Networking

8. List some Data Analytics services by GCP.

Google Cloud offers various Data Analytics services.

  • BigQuery is a multi-cloud data warehouse for business agility that is highly scalable, serverless, and cost effective.
  • Looker
  • DataProc is a service for running Apache Spark and Apache Hadoop Clusters. It makes open-source data and analytics processing easy, fast and more secure in Cloud.
  • Dataflow
  • Pub/Sub
  • Cloud Data Fusion
  • Data Catalog
  • Cloud Composer
  • Google Data Studio
  • Dataprep
  • Cloud Life Sciences enables the life sciences community to manage, process and transform biomedical data at scale.
  • Google Marketing Platform is a marketing platform that combines your advertising and analytics to help you make better marketing results, deeper insights and quality customer connections. It's not an official Google cloud product, but comes under separate terms of services.
  • For Google Cloud analytics services visit Data Analytics

9. What are the AI and Machine learning services offered by GCP?

There are many Google Cloud Machine Learning and AI services as below:
  • Vertex AI A new machine learning platform to build, deploy and scale more robust and effective AI models.
  • Auto ML provides capability to build sophisticated models.
  • AI building blocks used to add conversation, site, language into your applications.
  • AI Infrastructure used to train Machine learning and Deep learning models in a cost effective manner.
  • Conversational AI Tools include - Speech-to-Text, Text-to-Speech, Virtual Agents, Agent Assist, Natural Language
  • AI for Documents Tools include - Natural Language, Translation, Vision OCR, Document AI Platform, Invoice parser, Form parser etc.
  • AI for industries Tools include - Media Translation, Healthcare Natural Language, Recommendations AI
For more visit AI and ML Products.

Cloud Related Other Interview Questions:


10. What are the benefits of GCP?

11. What is a Compute Engine?

12. What are Preemptible VMs?

13. What is Google App Engine or GCP App Engine?

Google App Engine also known as GCP App Engine is a serverless platform that provides the capability to run your code directly and ensures the availability of your application. Google manages the servers and other infrastructure for you. GCP App Engine is responsible for providing all built-in services and APIs as traffic to your site grows so you only pay for the resources you use.
App Engine sometimes referred to as GAE is a Platform as a Service platform to build scalable web applications in Google managed data centers. It provides integration to different development tools like Jenkins, Eclipse, Git, IntelliJ, Maven to build your applications without changing your workflow.
For More and Google App Engine Pricing refer Google App Engine

14. What are Shielded VMs?

15. Explain Bare Metal Solution?

16. Explain Cloud GPUs.

17. How to migrate servers and VMs from on-premises or another cloud to Compute Engine on GCP?

Google provides a cloud software Cloud Migrate for Compute Engine that is used to migrate the VMs from on-premises data centers, Azure and AWS into Compute Engine. This software comes with no additional cost.

18. Explain Google Kubernetes Engine (GKE).

19. Explain Artifact registry.

20. What is Cloud Build?

21. What is Container Registry?

22. What is Batch on GKE software.

23. How to change the project in GCP using CLI commands?

24. Differentiate GCP service and GCP resources.

25. Differentiate between resource and endpoint in GCP.

26. Differentiate between Google Cloud Dataflow and Google Cloud Dataproc.

27. Differentiate between gcloud auth application-default login and gcloud auth login.

28. Differentiate between Network and HTTP(s) load balancer in GCP.

29. Differentiate Google App Engine and Google Compute Engine

30. How Load balancing works in GCP?

31. How Scaling works in Google Cloud Platform?

32. What is the use of Instance templates?

33. What is the use of Instance groups? How many type of instance groups Compute Engine offers?

34. What is the Machine images? When to use it?

35. Explain Sole-tenant nodes?

36. List some Quick Facts about GCP (Google Cloud Platform).

37. What is the future of GCP (Google Cloud Platform)?

Some General Interview Questions for GCP (Google Cloud Platform)

1. How much will you rate yourself in GCP (Google Cloud Platform)?

When you attend an interview, Interviewer may ask you to rate yourself in a specific Technology like GCP (Google Cloud Platform), So It's depend on your knowledge and work experience in GCP (Google Cloud Platform). The interviewer expects a realistic self-evaluation aligned with your qualifications.

2. What challenges did you face while working on GCP (Google Cloud Platform)?

The challenges faced while working on GCP (Google Cloud Platform) projects are highly dependent on one's specific work experience and the technology involved. You should explain any relevant challenges you encountered related to GCP (Google Cloud Platform) during your previous projects.

3. What was your role in the last Project related to GCP (Google Cloud Platform)?

This question is commonly asked in interviews to understand your specific responsibilities and the functionalities you implemented using GCP (Google Cloud Platform) in your previous projects. Your answer should highlight your role, the tasks you were assigned, and the GCP (Google Cloud Platform) features or techniques you utilized to accomplish those tasks.

4. How much experience do you have in GCP (Google Cloud Platform)?

Here you can tell about your overall work experience on GCP (Google Cloud Platform).

5. Have you done any GCP (Google Cloud Platform) Certification or Training?

Whether a candidate has completed any GCP (Google Cloud Platform) certification or training is optional. While certifications and training are not essential requirements, they can be advantageous to have.

Conclusion

We have covered some frequently asked GCP (Google Cloud Platform) Interview Questions and Answers to help you for your Interview. All these Essential GCP (Google Cloud Platform) Interview Questions are targeted for mid level of experienced Professionals and freshers.
While attending any GCP (Google Cloud Platform) Interview if you face any difficulty to answer any question please write to us at info@qfles.com. Our IT Expert team will find the best answer and will update on the portal. In case we find any new GCP (Google Cloud Platform) questions, we will update the same here.