Top 35 Google Cloud Interview Questions and Answers in 2023 (2023)

One of the leading providers on the market today is Google Cloud Platform. It is a cloud platform that gives users access to cloud-based computing services and systems.

Here are some things you should know about Google Cloud:

The collection of cloud computing services known as Google Cloud Platform uses the same infrastructure as Google's consumer products such as Gmail, Google Search and YouTube. Several Fortune 500 companies use Google's cloud computing services, collectively known as "Google Cloud."

Now we will cover some of the key Google Cloud interview questions based on:

Frisk
Experienced
Frequently asked questions

Google Cloud Interview Questions for Freshers

1. What is cloud computing?

Cloudprovides IT resources as needed via the Internet for a fee. Instead of owning, purchasing, and maintaining physical data centers and servers, you can use a cloud provider like Amazon Web Services (AWS) to get on-demand access to technology services like storage, computing power, and databases.

2. What is Google Cloud Platform?

Google Cloud Platform is the name of the company's cloud-based infrastructure. This group of services covers many other topics such as big data, networking,machine learning, computers, virtual machines and storage. Google products for users, such as Gmail, YouTube, and Google Search, use the same infrastructure that these services use.

If you want to enrich your career and become a Google Cloud specialist, join "Google Cloud Platform trainingThis course will help you gain expertise in this field.

3. What are the benefits of using Google's cloud platform?

GCP is much more affordable than other cloud providers.
Your information and data can be stored on Google Cloud servers anywhere.
GCP has better service and performance in hosting cloud services.
Google Cloud makes it easier and faster to update servers and security information.

4. What are the features of the Google Cloud platform?

Ability to create machine types with different CPU, RAM and hard disk configurations.
Resize in place can be done without service interruption.
Tools to manage a wide range of operations are preloaded in GCP.
You can choose between two different types of hosting. Users can use Application Engine (PaaS) or Compute Engine (IaaS).

5. What are common use cases for Google Cloud Platform?

The Google Cloud platform has many applications, some of which build websites and applications, maintain databases, and provide hosting services.

6. What is the difference between GCP and AWS?

Google Cloud is a collection of Google's public cloud computing services and resourcesAWSis a secure cloud service managed and developed by Amazon. Google Cloud Storage is provided by Google Cloud, while AWS provides Amazon Simple Storage Services.

7. What security does the cloud offer?

Some key cloud security features include:

Identity management: Opens the way to validate service requests.
Security access control: Users can configure how other users gain access
Authorization and authentication: This security feature ensures that only authenticated and authorized users can access applications and data.

[Check outCloud Security Architecture]

8. Who are the cloud computing system integrators?

A cloud can consist of a large number of complex components. The process of designing a cloud and integrating its many components into a hybrid or private cloud network is one of the elements of an integrated cloud systems strategy. There are other elements to this strategy.

9. What are the different parts of Google Cloud Platform?

Machine learning engine in Google Cloud
Google Compute Engine (GCE)
Google Drive space
Cloud Container Engine fra Google
Google Cloud Platform Test Lab
Stream data til Google Cloud
Cloud App Engine fra Google
Search for a job on Google Cloud
Google BigQuery
Google Cloud endpoints.

10. What are the different components of the cloud architecture?

Here are the key elements of cloud computing architecture:

Front platform
Back-end platform
Cloud levering.

11. Describe the different layers in the cloud architecture.

The different layers of the cloud architecture are as follows:

natural law: This layer includes physical servers, networks, and other things that can be managed and controlled in the real world.
platform level: This layer contains services such as the operating system and applications. It acts as a development and growth platform.
Infrastructure level: Includes network, virtual servers, and storage resources.
Application level: End users interact directly with the application layer. This layer is configurable and extensible. Metadata allows customers to customize the software.

12. What exactly does "EUCALYPTUS" mean in the context of cloud computing?

"EUCALYPTUS" is an open source cloud computing infrastructure. The full form of EUCALYPTUS is referred to as the "Elastic Utility Computing Architecture". EUCALYPTUS enables developers to quickly and easily create private, public and hybrid cloud environments. You can take advantage of the cloud and all it has to offer by creating your own cloud data center.

13. What do you mean by Google Compute Engine?

The Google Cloud platform is based on the Google Cloud Engine as the backbone. This Google-hosted IaaS allows users to run their own Windows or Linux virtual machines. Persistent storage and KVM allow you to run virtual machines.

14. What are the different Google Compute Engine API authentication methods?

Google Compute Engine API authentication can be done in several ways:

Through the client library
Uses OAuth 2.0
Practical with the access card.

15. What are the most used open source cloud computing platforms?

Apacz Medium
OpenStack
Cloud foundry
KVM.

GCP Interview Questions for Experienced

16. What are the different types of Software as a Service (SaaS)?

The two different types of Saa are:

Multi-family single-family house: This SaaS model gives you access to exclusive resources that you don't have to share with others.
Multi-tenancy of fine grains: Resources are shared across multiple tenants in this SaaS deployment, although functionality remains unchanged.

17. What are the benefits of cloud API?

You don't need to build the entire program.
You can easily transfer information from one application to another.
It's easy to build apps and connect them to cloud services.
Connects two apps securely.

18. Explain the difference between scalability and flexibility in cloud computing?

Scalability: The ability to handle larger workloads in the cloud is known as scalability. This can be achieved by adding more servers or making room for them on existing ones.
Flexibility: Flexibility is the ability to add or remove virtual machines as needed, allowing you to optimize resource utilization and reduce costs.

19. What are service accounts?

Service accounts are special accounts related to projects. They are used to authorize Google Compute Engine to perform tasks on behalf of the user and provide access to non-sensitive data.

20. How well do you know the Google Cloud SDK?

The Google Cloud Software Development Kit (SDK) provides developers with a set of tools to work with services and data powered by the Google Cloud platform. It comes with three separate command line tools: gcloud, gsutil and BQ command. The Google Cloud SDK is only compatible with certain operating systems and versions of Python (2.7.x), such as Windows, Linux, and macOS. There may be other more specific requirements for other tools in the kit.

21. List the main components of Google Cloud platform?

Some important elements of GCP are:

Data processing tools including Google App Engine andLike Kubernetescontainer orchestration system.
Various network-related components, including virtual private clouds (VPCs), cloud firewalls, and more.
There is a database and a storage system.
Great importance of data.
Management tools including detector, recorder and debugger.
Cloud identity management software including Cloud IAM and Cloud Identity.
Efficiency and specialized units.
Developer resources include a cloud-based test lab and container builder.

22. What are the different cloud computing deployment models?

The development of cloud computing requires different development models, just like the development of other complex and new technologies. A list of the same is given.

Community Cloud
Private sky
Public cloud
Hybrid sky.

23. How does the cloud deliver on-demand functionality?

Cloud computing was created as a technology so that all its users can use it whenever and wherever they want. Thanks to the latest technology and easy access to applications like Google Cloud, this concept is much easier to implement than before. Thanks to Google Cloud and other similar applications, users can access their files stored in the cloud from any device, at any time and from anywhere in the world.

24. What is the GCP cloud pricing model?

You only pay for the resources you actually use with GCP due to its pricing model. No money or commitment is needed right away. In addition, you can create a budget that helps you manage your expenses.

25. What are GCP cloud storage libraries and tools?

Cloud storage on Google's cloud platform relies heavily on JSON API and XML API. In addition, Google also offers the following functions for interacting with cloud storage.

The Google Cloud Platform Console can perform basic operations on buckets and objects.
Cloud storage client libraries available in different languages.
The gsutils command line tool is a command line interface (CLI) for cloud storage.

26. What do you think "managed VMs" mean for GCP?

Google-managed virtual machines or virtual machines in this context. Google takes care of the infrastructure, including the host operating system, the virtualization layer, and the hardware when you run a VM in GCP using managed VMs. It can simplify your workflow and allow you to focus on development and application development.

27. What is the difference between PaaS and IaaS?

IaaS: IaaS, which stands for Infrastructure as a Service, is a type of cloud computing that gives users access to a virtualized computing environment. This may include, but is not limited to, storage, networking and servers.
Paas: PaaS, which stands for "Platform as a Service". is a type of cloud computing that gives users access to a platform to test, build and deploy applications. PaaS can make application development and deployment easier as it takes care of much of the infrastructure behind them.

28. What is autoscaling in GCP?

Autoscaling is possible in instance pools managed by Google Cloud Platform. Managed instance groups are collections of identical instances based on the same master template. The easiest way to automatically scale in Avi Vantage is to scale based on the amount of CPU used by a group of virtual machines.

29. What is the use of a Google Cloud Storage bucket?

Buckets are simple containers for storing data. Everything you put in Cloud Storage must be in a "bucket". There is no limit to the number of buckets you can create or delete. But buckets cannot be nested within each other like folders and files.

30. What are Google Cloud APIs?

Google Cloud APIs are most useful when used to automate processes in the language of your choice. Using APIs, many Google services can communicate with each other and integrate with third-party applications. Another way to think of it is as an intermediary through which end users can access cloud resources and applications.

31. What are the links between Google Compute Engine and Google App Engine?

Google Compute Engine is a Google product for delivering IaaS (infrastructure as a service). Google App Engine, on the other hand, is Google's PaaS offering in the platform services category. They are a great couple and complement each other. Compute Engine creates custom business logic, while App Engine is used to power websites and mobile backend. It can even serve as a host for a private data storage system.

The most frequently asked questions about PPS

1. What is binary authentication in Google Cloud?

Cloud Run and GKE (Google Kubernetes Engine) use binary authorization to ensure that only trusted container images are used. You can use binary authorization to ensure that only trusted authorities sign images. At the same time, they are built in such a way that they ensure that the signature is validated during development.

2. What do you mean by Google Kubernetes?

You can use Google's infrastructure to deploy, manage, and scale containerized applications with Google Kubernetes Engine (GKE). A cluster of computers (Google Compute Engine instances) form a GKE environment.

3. What is Google Cloud Vertex AI?

With Vertex AI, you get a unified set of client libraries, APIs, and GUIs for the AutoML and AI platform. Vertex AI users have access to AutoML and can tailor their training to their specific needs. Vertex AI allows you to train models however you want, and then store, deploy, and query predictions from those models. Using pre-trained and customized tools on a unified AI platform can accelerate the processes of developing, building and scaling machine learning models.

4. What types of databases are compatible with GCP?

MySQL, PostgreSQL,MongoDBand BigTable are just a few database systems that can be used with GCP.

5. What is BigQuery?

The Google Cloud platform provides a service called BigQuery that acts as a repository for large enterprises. The product has an in-memory data analytics engine and machine learning capabilities, making it highly scalable and affordable. You can quickly and easily perform real-time data analysis and generate insightful reports using the data analysis engine. BigQuery can analyze more than just internal data. It can also process data from external sources such as object storage, transactional databases and spreadsheets.

Resumé

Google's cloud platform offers the same broad range of global hardware services as AWS, in addition to some Google-specific features and integrations. Google Cloud interviews are known for challenging questions which are very difficult to answer in an interview without any preparation. Candidates who take the time and effort to prepare for upcoming interviews will benefit from reviewing the list of important Google Cloud Cloud Platform job interview questions listed above. Make sure you are well prepared for the interview and good luck!

About the author

Madhuri Jerukala

Madhuri is a Senior Content Creator at MindMajix. He has written on many different topics related to various technologies, including Splunk, Tensorflow, Selenium and CEH. He spends most of his time researching technology and startups. Connect with her viaLinkedinand Twitter.