If you’re looking for GCP Interview Questions and Answers, you’ve come to the right place. Start reading! Introduced in 2017, Google Cloud Platform (GCP) is a professional-level certification. It is yet the highest paid cloud certification to date! It is among the top-three cloud platforms.
Preparing for the GCP interview is a difficult task. We are here to make it easy for you. GCP interviews are the most competitive of all because of their high demand. Therefore, we have collected the top most-asked GCP interview questions with answers.
We recommend you go through this comprehensive guide after clarifying your basics for cloud computing. Later on, you can thoroughly go through our list of interview questions.
This will help you create a good flow. You will have a better understanding. Without further ado, let’s begin!
Beginner-Level GCP Interview Questions and Answers:
1. What is cloud computing?
Cloud computing refers to the delivery of computing services. These also include servers, storage, databases, software, and intelligence present over the Internet (the “cloud”). The cloud refers to the servers that can be accessed over the Internet.
The best part about cloud computing services is that it runs globally and has no geographical restrictions. Almost 90% of the world’s organizations have shifted their infrastructure to the cloud rather than using physical data centers.
2. What is Google Cloud Platform?
- Google Cloud Platform is a cloud-based platform run by Google itself.
- It combines virtual machines, computing, networking, databases, storage, big data and management services, machine learning, etc.
- All these services can be operated on the Google infrastructure for its end-user products such as the Google search engine, Gmail, YouTube, Google Drive, etc.
3. List down the significant features of the Google Cloud Platform (GCP).
Given below are the major features of the Google Cloud Platform (GCP):
- GCP provides an easy way to resize your virtual machine resources such as CPU, RAM and storage to an optimum size. This feature allows you to know whether your machines are of the right size or not.
- The Google cloud shell present with GCP has a lot of pre-installed tools. It lets you control a number of processes from the shell.
- Some pre-installed tools include Docker, Gradle, npm, nvm, pip, Make, etc.
- It is very easy to create your own custom machine type with varying resources of CPU, memory and storage with GCP.
- Fault-tolerant and batch jobs cost less than 70% of normal because of the presence of VMs.
- You do not need to worry about space. The Cloud SQL feature in GCP automatically checks for storage available in the database every 30 seconds. It adds space whenever it is needed.
- You can reduce/increase the size of the persistent disk without any downtime.
4. What are the advantages of using the Google Cloud Platform?
If you want to enjoy the best of cloud services, GCP Certification is the best. It is gaining a lot of popularity because of its unlimited advantages.
The main benefits of using the Google Cloud Platform are as follows:
- GCP’s pricing deals are way better than any other cloud service provider.
- With Google Cloud servers you can work from anywhere to access your information and data.
- Google Cloud is very fast in providing updates about servers and security in an efficient way.
- The Google Cloud provides the best security. The GCP platform and networks are secured and encrypted with multiple security measures.
- GCP has an overall increased performance and service as compared to other platforms hosting cloud services.
5. What libraries and tools are present for cloud storage on GCP?
There are two main basic cloud storages on the Google Cloud Platform. These are:
- JSON
- XML APIs
In addition to these, Google provides the following to work with the cloud storage:
- Google Cloud Platform Console for basic operations on buckets and objects.
- Cloud Storage Client Libraries that provide programming support in various languages.
- Gustil Command-line Too has a CLI to support cloud storage.
- Various Third-party tools, for example, Boto Library.
6. What are the various methods for authentication of Google Compute Engine API?
There are different methods for the authentication of Google Compute Engine API:
- Using OAuth 2.0
- Through client library
- Directly with an access token
7. What are the various layers in the cloud architecture?
There are 4 different layers that make up the cloud architecture. These are:
- Physical layer:
This layer consists of the physical servers, network and other aspects.
- Infrastructure layer:
This layer consists of storage, virtualized layers, etc.
- Platform layer:
This includes an operating system, apps, etc.
- Application layer:
The Application layer is used by the end-user directly.
8. Name some of the most popular open-source cloud computing platforms.
The following are the most popular open-source cloud computing platforms:
- OpenStack
- Cloud Foundry
- Docker
- Apache Mesos
- KVM
9. What is Google Cloud API? How could we access it?
- APIs let you automate workflows with the help of your favorite programming language.
- The Google Cloud APIs are the programmatic interfaces to Google Cloud Platform services.
- They make it easy for users to add power to anything from storage access to machine-learning-based image analytics to Google cloud-based applications.
- Cloud APIs are easy to access with client libraries via server applications.
A number of programming languages provide access to the Google Cloud API. Mobile applications may be used through Firebase SDKs or through third-party clients.
To access Google Cloud API, you can use the following tools:
- Google SDK command-line tools
- Google Cloud Platform Console Web UI
10. What is Google Cloud SDK?
- Google Cloud SDK consists of a bunch of command-line tools.
- It is used for developing the Google cloud.
- You can access big query, cloud storage, compute Engine and other services with the help of the command line.
- The Google Cloud SDK consists of both the client libraries and API libraries.
- These tools and libraries let us work with the Virtual Machine instances, handle computer engine networks, storage and firewalls, etc.
Experienced-Level GCP Interview Questions and Answers:
11. Why do we need a virtualization platform for cloud implementation?
- With virtualization, you can create operating systems, virtual versions of storage, networks, and applications, etc.
- You can increase the existing infrastructure with the right virtualization.
- You can execute multiple applications and operating systems on existing servers.
12. Tell us something about the projects.
The projects are the containers for the resources of Google Cloud Engine. The following are the key points about the projects:
- The projects consist of a world of compartments.
- The projects are not supposed for resource sharing.
- The projects may have different users or owners.
- The billing of all projects is done separately.
- The projects are no more accessible to each other.
13. How to create a project?
You can create a project by following the steps given below:
- Open the Google Cloud Platform Console
- When prompted, create a new project or select an existing project
- Follow the prompts to set up billing.
Note: If you are new to the Google Cloud Platform, you can use the free trial credit to make the payment.
14. What is “EUCALYPTUS” in cloud computing?
- EUCALYPTUS stands for “Elastic Utility Computing Architecture for Linking Your Programs To Useful Systems”.
- It is an open-source cloud computing infrastructure.
- It is used for deploying cloud clusters.
- You can build public, private, and hybrid cloud platforms with the help of EUCALYPTUS.
- You can even own a data center in the cloud to use its functionality in your organization.
15. What is Google BigQuery? What are the advantages for the data warehouse practitioners?
- Google BigQuery is a substitute for the hardware setup for the traditional data warehouse.
- It is used as a data warehouse.
- It is a collective store for all the analytical data in an organization.
- BigQuery organizes the data table into units known as datasets.
Here are the benefits of using BigQuery for the data warehouse practitioners:
- BigQuery does not need the provisioning of resources before usage. It assigns query resources and storage resources on the basis of need and usage.
- BigQuery stores data in different formats such as:
- Proprietary format
- Proprietary columnar format
- Query access pattern
- Google’s distributed file system
- BigQuery is a fully maintained and managed service. BigQuery Engineers manage the updates and maintenance of services. This happens without any downtime or interruption in the performance.
- BigQuery provides backup recovery and disaster recovery at a broader level. Users can easily make changes and convert back to the previous state.
- There is no need to make a request for the backup recovery.
16. What are the different modes of software as a service (SaaS)?
These are the two most important types of software as a service (SaaS):
- Single multi-tenancy:
You get to have your own independent resources that are private to you.
- Fine grain multi-tenancy:
The resources are shared between multiple tenants even though the functionalities stay the same while using this type of SaaS deployment.
17. What is binary authorization google cloud?
- Google Kubernetes Engine (GKE) and Cloud Run use binary authorization to make sure that only trustworthy container images are deployed.
- You can make sure that images are signed by trustworthy authorities throughout the development and ask for signature validation when deploying. This is the power of binary authorization.
- Validation makes sure that only confirmed pictures are included in the build-and-release process. This gives you more control over your container environment.
18. What is load balancing in cloud computing?
- The process of distributing the computing resources and workloads in a cloud computing environment to manage the demands is called load balancing.
- It allows you to achieve high performance for lower prices as the workload demands are very well managed with the assignment of resources.
- Load balancing uses scalability and agility to improve the availability of resources to the demands.
- It also provides regular health check-ups for the cloud application.
- The load balancing feature is given by all the major cloud vendors such as AWS, Microsoft Azure, GCP, etc.
19. What is the difference between elasticity and scalability in cloud computing?
Scalability:
In cloud, through scalability you can increase the ability to service additional workloads by two ways: by adding new servers or by placing it within existing servers.
Elasticity:
It is the process by you can add or remove virtual machines on the basis of the requirement. This reduces wastage of resources and reduce costs.
20. What is VPC?
- VPC stands for Virtual Private Cloud.
- It is a virtual network offering connectivity to Google Kubernetes Engine clusters, compute Engine’s VM instances and many other resources.
- The VPC provides a lot of flexibility to control the way workloads connect globally or locally.
- A single VPC may cover more than more region without communicating over the Internet.
21. What are system integrators in cloud computing?
A lot components to a cloud can be complex. System integrators is the strategy by which the cloud makes it possible to design the cloud and integrate different components for the creation of a hybrid or private cloud network.
22. How can you protect data from cloud transport?
In order to make sure that the cloud data is secure, you need to verify that the encryption key used along the data you provide does not leak data. It is because it moves from point A to point B on the cloud.
FAQs:
Google Cloud Platform is a cloud-based platform run by Google itself. It combines virtual machines, computing, networking, databases, storage, big data and management services, machine learning, etc.
EUCALYPTUS stands for “Elastic Utility Computing Architecture for Linking Your Programs To Useful Systems”. It is an open-source cloud computing infrastructure. It is used for deploying cloud clusters.
GCP stands for Google Cloud Platform (GCP).
Google Cloud Platform (GCP) offers a service called Compute Engine. On the other hand, Amazon Web Services (AWS) provide a service which is called Elastic Compute Cloud (Amazon EC2).
The Google Cloud APIs are the programmatic interfaces to Google Cloud Platform services. They make it easy for users to add power to anything from storage access to machine-learning-based image analytics to Google cloud-based applications.
- Google Cloud SDK consists of a bunch of command-line tools.
- It is used for developing the Google cloud.
- You can access big query, cloud storage, compute Engine and other services with the help of the command line.
