GCP (Google Cloud Platform) Interview QuestionsLast updated on Jan 02, 2023
For a software engineer, getting a job at Google ought to be one of their top priorities in life. Aspiring software engineers have a multitude of opportunities to choose from at Google, which is consistently regarded as one of the best places to work in the world. These opportunities include the possibility of working on innovative projects.
Out of all the departments and teams that Google has, working on the Google Cloud Team is the position that every software developer hopes to land one day. However, getting hired by Google Cloud Platform (GCP) is not the easiest thing in the world. In order to demonstrate your expertise and knowledge of cloud computing, you will need to master the interview questions that Google Cloud has prepared for you.
In the following article, you will find information about the kinds of questions that candidates for the position of Google cloud engineer may be asked, as well as advice on how to respond to those questions. We will analyze to give you a sense of what to expect, we have listed the top questions and answers that are most typically asked during an interview for a position in Google Cloud. Please keep in mind that these questions have been compiled based on the actual experiences of applicants and those in charge of recruiting. This is only a sample of some of the possible questions that may be asked of you during your upcoming interview.
GCP Interview Questions for Freshers
1. What is a cloud?
A computer system that has a network, hardware, storage, and an application programming interface is referred to as a "cloud," and its name comes from the word "cloud." The combination of these two factors is what makes cloud computing a universal service that everyone can use.
Computing in the cloud is employed extensively by businesses in order to fulfill the requirements posed by its stakeholders. In any given cloud computing system, the two most important participants are the service provider, who is in charge of providing and managing the cloud services, and the end-user, who makes use of the cloud services for a variety of different reasons.
2. Explain the Google Cloud and all of its different levels.
There are four separate tiers of the Google Cloud Platform, and they are as follows:
- IaaS is an abbreviation for "Infrastructure as a Service," which describes the most fundamental component of a cloud computing environment.
- The "platform as a service" (PaaS) model, which serves as the second tier, is responsible for providing the underlying infrastructure as well as the application development tools.
- Users get access to the cloud services offered by the provider through the third layer, which is known as "Software as a Service," or SaaS.
- Despite the fact that business process outsourcing (BPO) is not a technical solution, it is considered to be the final layer because of its essential role in outsourcing business operations. In the context of cloud computing services, business process outsourcing (BPO) refers to the practice of entering into a contract with a third party in order to manage the requirements of the end user.
3. What do you consider to be some of the most noteworthy features of the Google Cloud Platform, and why do you think these features exist?
The following are the most prominent characteristics:
- The ability to create your own machine types, complete with arbitrary configurations for the CPU, RAM, and storage devices.
- When resizing a disc in situ, there is no requirement for maintenance or downtime to be taken.
- The many different tools that are pre-installed with GCP can be used to manage a wide variety of different operations.
- There are two different web hosting options available, and you have the option to select either one of them. App Engine gives users the option of using a Platform as a Service, whereas Compute Engine gives users the chance to utilize an Infrastructure as a Service.
4. What are the many strategies that might be utilized when developing cloud computing?
- Public Cloud: Everyone is able to make use of a service when it is hosted in the cloud and made available through a public subscription model. Users have the ability to access the various components of this kind of cloud, which include the operating system, central processing unit, memory, and storage.
- Private Cloud: A private cloud is a type of cloud that is accessible solely to a single organization and the individuals working for that company. A similar idea that exists within a company's own network is referred to as the internal cloud or the corporate cloud.
- Hybrid Cloud: The combination of public and private cloud services is what's meant to be understood by the term "hybrid cloud." This form of infrastructure, which includes a combination of processing, storage, and service components, is frequently used by businesses that desire more scalability and management flexibility than what is currently available to them.
- Community Cloud: Multiple companies are able to share the same amount of online storage space when using a community cloud.
5. What is the Function of a Bucket in Google Cloud Storage?
"Buckets" are the most straightforward containers that may be used to hold information. Any data that is stored in Cloud Storage must first be organized into a bucket. There is no restriction on the number of buckets that can be added or taken away from the system. Buckets, on the other hand, do not support nesting in the same way that directories and files do.
6. What are the benefits and drawbacks of using reserved instances as opposed to on-demand instances.
Both Reserved Instances and On-Demand Instances offer the same computing options and configurations, therefore there is no difference between the two. When renting (reserving) a Reserved Instance for a predetermined amount of time, the user is entitled to a price reduction in comparison to the standard cost of an On Demand instance.
7. How can you save money by using cloud computing?
With the help of cloud computing, you won't require the assistance of a large number of individuals. In a manner analogous to that of carpooling, these make use of a communal pool of resources, for which users pay only for the amount of those resources that they really consume.
8. What are the connections between Google Compute Engine and Google App Engine?
The product that Google offers in the category of infrastructure as a service (IaaS) is referred to as Google Compute Engine, whereas the product that Google offers in the category of the platform as a service (PaaS) is referred to as Google App Engine. They complement one another very well and work well together. In contrast to the App Engine, which is in charge of providing power to websites and mobile backends, the Compute Engine can be used to develop one-of-a-kind business logic and can even host an individual data storage system.
9. To what extent do you have experience working with application programming interfaces for Google Cloud?
The primary objective of utilizing application programming interfaces is, of course, to automate processes within the programming language of your choice.
Application programming interfaces are what makes it easy to connect to and integrate with any of Google's many services (APIs). Additionally, it functions as a portal via which users can have access to a range of software services and cloud resources, both internal and external to the organization.
10. What is Google Application Engine or GCP Application Engine?
You have the ability to immediately run your code on Google App Engine, which is also referred to as GCP App Engine. This is made possible by the platform's serverless architecture, which ensures that your app is constantly accessible to users. Google will handle the management of all of your servers and infrastructure for you. GCP App Engine will take care of providing the necessary built-in services and APIs as the traffic to your website increases. You will only be charged for the resources that you actually use, so there is no need to worry about additional costs.
App Engine is a PaaS platform that allows developers to make scalable web applications that operate on Google's data centres. It is sometimes referred to by its acronym, GAE. It is compatible with a wide range of integrated development environments (IDEs) and IDE plugins, such as Jenkins, Eclipse, Git, IntelliJ, and Maven, so you won't need to make any changes to the way you do things now.
11. How to migrate servers and virtual machines hosted on-premises or in another cloud to the Compute Engine of the Google Cloud Platform?
The virtual machines (VMs) can be moved from on-premises data centres, Azure, and Amazon Web Services (AWS) to Google's Compute Engine with the use of the cloud software known as Google Cloud Migrate for Compute Engine. This software does not come with any additional charges or fees attached to it.
12. What is "Virtual Private Cloud" (VPC) when referring to Google Cloud Platform?
Through the use of a Virtual Private Cloud, your Google Cloud Platform (GCP) virtual machine (VM) instances, Google Kubernetes Engine (GKE) clusters, and other resources will be able to connect with one another (VPC). The Virtual Private Cloud gives users a great deal of wiggle room in terms of regulating regional and global workload connectivity. Without having to rely on the public internet, virtual private networks (VPCs) make it possible for multiple regions to communicate with one another.
13. Provide a rundown of the most significant advantages gained by utilizing Google's cloud services.
The following is a list of the primary characteristics of GCP:
- Using Google Cloud Platform makes it simple to fine-tune the CPU, RAM, and storage capacities of your virtual machine. The virtual machine (VM) rightsizing advice tool clearly demonstrates in a short amount of time whether or not the machines in your environment are utilizing the appropriate quantity of hardware.
- You will have access to the Google cloud shell when you utilize GCP. This shell comes pre-loaded with a broad number of helpful tools and makes it possible for you to manage your infrastructure with just a few keystrokes. Docker, Gradle, Make, npm, nvm, and pip, along with a great deal more software, is pre-installed and ready to use.
- You'll have the ability to swiftly prototype new kinds of machines with Google Cloud Platform thanks to its fully programmable CPU, RAM, and storage.
- The preemptible virtual machines that come with this technology can slash expenses by as much as 70 per cent for fault-tolerant and batch processing.
- The Cloud SQL functionality of GCP does a check on the database's available storage once every 30 seconds and adds additional if it's required.
- It is possible to alter the size of a persistent disc in real-time and without disrupting service in any way, either by decreasing or increasing the amount of space it occupies.
14. Explain the primary differences that exist between virtualization and cloud computing?
The phrase "virtualization" refers to the usage of the software that transforms your hardware into many virtual machines, whereas the term "cloud computing" refers to the practice of utilizing several computers and servers that work together as a single entity. In the case of virtualization, each user is provided with their very own unique collection of hardware resources; yet, in the cloud, a user's login information is shared across a number of different machines.
15. Explain the Google App Engine.
Scalability is something that may be provided to web app developers and large enterprises through Google App Engine, which is a Platform as a Service (PaaS) offering. Because of this, developers are able to build, deploy, and scale a totally managed platform according to their requirements.
Support is provided for many of today's most popular programming languages, including Java, PHP, Python, C#,.Net, Go, and Node.js, among others. Because it is malleable, you can use it to develop programmes that are quite robust.
16. Explain GCP Storage?
The cloud-based data storage solution offered by Google is known as Google Cloud Platform (GCP) Storage. Access to your data is possible at any time and in any location. This storage solution is dependable, safe, and scalable all at the same time. This service gives you the ability to securely store not just your own data but also the data generated by your apps, as well as the data generated by your customers.
17. What are GCP Objects?
Object versioning makes it possible to restore deleted or overwritten data. This includes entire databases. Object versioning causes an increase in storage costs, but it also safeguards the objects, preventing them from being mistakenly deleted or replaced.
When object versioning is enabled in a Google Cloud Storage (GCP) bucket, a historical copy of the item is saved anytime it is modified or removed. This happens regardless of whether the item is being kept or deleted. Generation and meta-generation are the qualities that are utilized to figure out which form of an object is being referred to in a certain context. The term "generation" refers to the process of creating material, whereas "metageneration" refers to the process of creating metadata.
18. What is serverless computing?
Serverless computing is made possible by cloud service providers who maintain a server in the cloud and dynamically allocate resources to customers. Because the provider is responsible for the underlying hardware, the user is free to concentrate on their task without being distracted by concerns about the system's workings.
The costs that are linked with the users' utilization of the resource are anticipated to be covered by them. The deployment procedure is simplified for end users as a result, and they no longer need to worry about scalability or maintenance. This falls under the category of "utility computing."
19. Please explain about Cloud-based load balancing.
Load balancing refers to the process of dividing up tasks and resources between all of the cloud's accessible servers in an equitable manner. This helps in obtaining high performance at reduced costs by carefully managing the requirements of the workload as well as the distribution of the available resources. Scalability and flexibility are utilized so that supply and demand can be more effectively matched.
In addition to this, it is utilized for the purpose of monitoring the health of the cloud service on its own. This functionality is offered by all of the major cloud service providers, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and so on.
20. Explain BigQuery.
BigQuery is a service that can be found on the Google Cloud Platform. This service acts as a storage facility for major companies and organizations. This reasonably priced and highly scalable software analyses data in memory and makes use of machine learning to improve the quality of the results.
You will have the ability to quickly develop analytical reports and perform real-time evaluations of the data with the assistance of a data analytics engine. BigQuery is able to access and work with a wide variety of external data sources, including object storage, transaction databases, and spreadsheets.
21. Explain Google Cloud Messaging?
Firebase is a message and notification system that is free and ubiquitous (Android, iOS, and the Web). It is also often known as Google Cloud Messaging. That's a terrific approach to get users engaged once more, and one method to do it is by sending a message or notifying a client app. You have the option of sending a message to a single device, an entire group of devices, or all devices that are subscribed to the service.
22. What is an Application Programming Interface for Google Cloud? How would it be possible for us to enter the building?
Users are able to extend the functionality of Google Cloud-based applications in a variety of ways by utilizing the Application Programming Interfaces (APIs) provided by Google Cloud. Some of these ways include improved storage access and image analytics that are powered by machine learning.
In the cloud, application programming interfaces (APIs) are easily accessible through client libraries and server-side code. The Application Programming Interface (API) for Google Cloud can be accessed through a variety of different programming languages. The utilization of mobile apps is made possible by Firebase SDKs and other third-party clients. Both the command-line tools of the Google SDK and the Web-based user interface of the Google Cloud Platform Console can be used to access the Google Cloud APIs.
23. What does the Google Cloud Software Development Kit is.
The Google Cloud Software Development Kit includes a variety of command-line interface (CLI) utilities. The cloud infrastructure that Google uses depends on this data. With the help of these utilities, we are able to use Google Cloud Platform services such as Big Query, Cloud Storage, and Compute Engine from the command line. It comes with both the API libraries and the client libraries in addition to the API libraries. We are able to browse computer engine networks, storage, and firewalls, as well as manage instances of Virtual Machines thanks to the utilities and libraries that we have at our disposal.
GCP Interview Questions for Experienced
24. In what ways can information stored in the cloud be safeguarded?
Every single one of GCP's customers is provided with a comprehensive arsenal of preventative and detective safeguards. Information, Computer Science, and the Provision of Services Customers of Google Cloud Platform (GCP) are granted access to resources, such as Virtual Private Clouds (VPC), Identity and Access Management (IAM), Firewall Rules, and so on, that are compliant with GCP best practises. This ensures the security of all services.
25. What does it mean by "Object Versioning"?
Recovery of unintentionally overwritten or destroyed data is made feasible through object versioning. To secure the safety of objects when they are rewritten or removed, versioning them incurs additional storage expenses. When object versioning is set on in a GCP bucket, anytime an object is removed or replaced, a unique version of the object is created. Generation and meta-generation attributes are used to determine the specific iteration of an object. A generation recognises the production of new content, whereas a metageneration recognises the production of new metadata.
26. Differentiate between elasticity and scalability.
One of the most important aspects of cloud computing is its scalability, which enables it to boost the number of resources it can provide in reaction to an increase in demand for those resources. When there is an increase in the demand for traffic, the design can be scaled up to provide the additional resources that are required. Elasticity, on the other hand, is a property that enables the instantaneous assembly and disassembly of enormous amounts of available resources. It is contingent on the quantity and duration of the resources that are accessible.
27. What is the connection between the Google Compute Engine and the Google App Engine?
The Google App Engine and the Google Compute Engine each have a great deal to contribute to one another. Google Application Engine is a Platform as a Service (PaaS), whereas Google Compute Engine (GCE) offers computing resources. GAE is frequently used to operate a wide variety of applications, the most typical of which are mobile backends, online apps, and bespoke business software.
Compute Engine is an excellent option to go with if we want to have a greater influence over the underlying infrastructure. For example, we could leverage Google Compute Engine to build our very own storage system or to supply specialized business logic.
28. What is eucalyptus?
A Computing Architecture for Elastic Utility Computing that connects your application to Valuable Systems (or EUCALYPTUS for short). The construction of cloud computing farms is accomplished with the help of this open-source platform. It provides hybrid solutions in addition to public and private cloud choices for users to choose from.
29. Who are the system integrators when it comes to cloud computing?
Because there are so many moving pieces, understanding clouds can be difficult at times. The system integrator is the overarching strategy that enables different cloud-related tasks, such as cloud design and the assembly of necessary elements for a public, private, or hybrid cloud infrastructure. In the cloud, the system integrator is the strategy that enables these tasks.
30. What are "projects" on Google Cloud, and how do they work?
The projects act as containers for all of Google Compute's resources and are responsible for their management. They operate as independent domains that are not designed to share resources with one another. There is the potential for a diverse group of stakeholders and owners of the project.
31. What's elasticity?
Elasticity is the quality that enables a material body to return to its original shape and size after being distorted by external forces and then having those forces removed.
32. Talk about the revolutionary effects that cloud computing has had.
Since it was first introduced, cloud computing has caused something like a revolution in the world of business. The overarching goal of the transformation brought on by cloud computing is not simply to rethink the ways in which we carry out our daily activities, but rather to make those activities more productive and less expensive overall.
The field of cloud computing is making leaps and bounds forward on a daily basis, which promises an exciting future for the information technology industry.
33. Without using a magnetic disc, what other means do you have to save your software, drivers, and programs for the long term?
Discs and other forms of data storage have become outdated as a result of the development and proliferation of cloud computing over the past few years, which is the answer.
Users may now easily upload files of any sort to a cloud storage service, which will keep their data safe and make it accessible even after a significant amount of time has passed. When something is uploaded, it will be preserved indefinitely, until the user deletes the individual item or the file itself. Even if this is a general problem with cloud computing, you might be able to discover a solution to it by looking through the questions and answers provided in the Google Cloud interview.
34. How does the concept of cloud computing enable ad hoc utilization of its available resources?
The answer is that cloud computing was built so that its clients can access their data whenever and wherever they need it. This was the primary motivation behind its development. As a result of developments in technology and the accessibility of services such as Google Cloud, the concept may now be realized with a great deal less difficult than it was before possible.
Users have the ability to access their data from any location, at any time, via any device, and at their own convenience thanks to Google Cloud.
35. What is the Google Cloud Platform?
This is an example of a Google Cloud Platform interview question and answer that is considered to be one of the most fundamental. The following is a condensed version of the information that was used to answer this question.
Google has developed a platform called Google Cloud Platform specifically for those who are interested in capitalizing on the various benefits that come with cloud computing. Google Cloud Platform (GCP) is a platform that offers a wide variety of services in the field of cloud computing. These services include compute, database, storage, migration, and networking.
36. How much does it cost to use Google Cloud Platform? What kind of payment options are there?
Users who use Google Compute Engine are charged for the amount of time they spend using Google Cloud Platform based on the amount of storage space, network traffic, and compute instances they consume. The cost of running a virtual machine on Google Cloud is calculated on a per-second basis, with a minimum charge of one minute. Your storage price will ultimately be determined by the total amount of data you have in your account.
The total amount of money spent on the network is directly proportional to the total amount of data that was exchanged between the virtual machines (VMs) that were interacting with one another. You should familiarize yourself with the various price structures utilized by Google before going in for an interview with Google Cloud Platform if you want to do well.
37. How precisely are you going to differentiate between a Project Id and a Project Number?
The project identifier and the project number are the two components that can be utilized to generate a one-of-a-kind identifier for a certain endeavour. It is possible to differentiate between them both by -
In contrast to the user-generated project number, the project number is automatically produced whenever a new project is formed. The user is responsible for producing the project number. Although the project id is not required for many of our services, we do require the project number (but it is a must for the Google Compute Engine).
In the event that you are interviewing to become a Google Cloud Engineer, this is an excellent illustration of a question that is straightforward yet has the potential to be significant. Therefore, it is absolutely necessary to go through the fundamentals of projects before heading for the interview with Google Cloud.
38. How do you propose getting a larger quota for the project?
Every Google Compute Engine project has a default allocation of resources that is assigned to it. There is also the possibility of increasing quotas on a project-by-project basis. On the quota tab of the Google Cloud Platform Console, one is able to observe the various limits that are currently in place for the project.
If you discover that the quota limit for your account has been reached and you would like to make a request for more resources, you can do so through the quotas page found in the IAM. You can quickly and easily ask for extra allocation by clicking on the Edit Quotas link that is located in the top right corner of the page.
These Google Cloud interview questions might be asked of you during an interview for the Google Cloud Architect position or the Google Cloud Consultant position. You need to put in a lot of effort studying if you want to do well in the interview.
39. Imagine that you have uninstalled your instance inadvertently. Have faith that you will be successful in regaining possession of it. Is this true, and if so, how is it even conceivable?
The response is deceptively basic, although it does require an in-depth understanding of the cloud infrastructure of Google. The answer provided here is an effective response to one of the most challenging Google Cloud Platform interview questions.
When an instance is deleted, there is no way to retrieve it again once it has been removed. Restarting it will bring it back to life if it was paused at any point during the process.
40. What is meant by the term "instance" when referring to the Google Cloud?
In the Google Cloud dashboard, a single project can be associated with many instances, and each instance can be associated with a different number of projects. When creating instances for a project, you have the option of using a diverse selection of operating systems and hardware architectures.
When you delete an instance, it is removed from the project entirely and never returns. Each instance of Compute Engine comes pre-configured with a small boot persistent CD on which the operating system is pre-installed. This is a standard feature. You have the option of adding more storage options to your instance if the data storage needs of your applications require more capacity than you currently have available.
41. Explain "Google Cloud Machine Images"?
The answer to this question is that the Google Cloud Platform already has the capability to save one-of-a-kind photos thanks to the applications that are preinstalled on the platform. Machine Images, a brand-new feature that is now in beta testing, contain all of the setup parameters, including permissions, in contrast to a custom image, which is merely an image of a disc. There may be more than one disc in machine photographs.
Utilizing pictures of different types of machinery can help you accomplish two different objectives. There is a second one available in case the first one is damaged. With the differential disc backup characteristics of machine images, a VM snapshot can be saved while using up less space on the disc and operating more effectively. This is made possible by the machine images.
It is also possible to use it as a model for the creation of new virtual machines (VMs). By making use of an override, the image's characteristics can be customized in a unique manner for each copy.
42. What does it mean for a virtual machine to be preemptible in GCP?
The correct response is that normal preemptible VM instances are anywhere from 60-91% less expensive than standard VMs. On the other hand, Compute Engine may choose to shut down (also known as "preempt") particular VMs in order to free up additional resources for use by other VMs. It is not always possible to access preemptible instances because doing so requires additional resources from Google Compute Engine.
Preemptible virtual machines (VMs) need a specific amount of CPU time in order to execute, just like conventional virtual machines need. You can consider requesting a separate "Preemptible CPU" allocation in order to prevent your preemptible virtual machines (VMs) from consuming too much of the CPU allotment that is reserved for your regular VMs.
While a Compute Engine standard CPU quota continues to be in force for all standard virtual machines in a particular region, a Compute Engine preemptible CPU quota applies to all preemptible virtual machines in that region.
It is possible to use the standard CPU quota instead of the preemptible CPU quota when installing preemptible virtual machines onto a host that does not have a preemptible CPU quota. Additionally, you will require some usual extras, such as Internet Protocol (IP) and storage space. Only once Compute Engine has assigned a limit will it appear in the gcloud CLI or Cloud console quota pages as a preemptible CPU limit. This is the case regardless of whether you use the console or the CLI.
43. What is Autoscaling in the GCP Environment?
In response to your inquiry, I can tell you that autoscaling is a feature that is available on the Google Cloud Platform within the controlled instance groups. A "managed instance group" is a collection of linked instances that have been derived from the same master template. These instances have been grouped together for management purposes. Please refer to the article on Instance Groups for any additional information regarding managed instance groups. One of the many ways that autoscaling can be accomplished with Avi Vantage is by adjusting the number of active virtual machines to correspond with the amount of processing power that is required by each individual machine. This is the simplest method.
It is possible to construct auto-scale groups for either a single zone or numerous zones (regional). The availability of your application's instances can be increased for users by spreading them out across a number of different zones. A managed instance group that serves a region will not generate instances in more than those three availability zones, even if the area contains more than three availability zones. When creating instances, you are not restricted to the use of simply the three-zone setup; instead, you have the option of using either the two-zone setup or the multi-zone setup.
44. What does it mean when people refer to "vertex AI" in relation to Google Cloud?
As a result of this, Vertex AI consolidates AutoML and AI Platform into a cohesive collection of application programming interfaces (APIs), client libraries, and user interfaces. Vertex AI provides users with access to AutoML as well as customizable training methods. After training your models in any way that you see appropriate, Vertex AI grants you the ability to save, deploy, and request predictions from those models. It is possible to speed up the process of developing, deploying, and scaling machine learning models by utilizing pre-trained tools and bespoke tools on a single AI platform.
45. Explain what Google's Distributed Cloud is.
It is feasible to migrate or upgrade programs and process data on-premises by utilizing a number of Google Cloud services, such as databases, machine learning, data analytics, and container management services. It is doable to make use of services provided by a third party. Any one of these four locations—network Google's edge, an Operator data center, a Customer data center, or a Client data center—is capable of hosting the operation of Google Distributed Cloud products. The Google Distributed Cloud products can be run from any one of these four locations, making them all viable options.
The shift to cloud computing is becoming increasingly necessary for businesses of all sizes. They are looking for a means to increase productivity while simultaneously lowering risk and accelerating the rate of innovation in their organization. Certain workloads cannot be moved instantly or completely to the public cloud because of factors such as compliance and data sovereignty requirements, low latency or local data processing needs, and the demand for services that are close together or nearby. Other factors include the demand for services that are close together or nearby.
Google introduced Google Distributed Cloud at Google Cloud Next '21. This is a collection of hardware and software solutions that extends Google's infrastructure to the edge and into your data centers while guaranteeing that these workloads can still make use of the cloud's resources.
46. What is the GKE Autopilot?
In the years that have passed since its initial release, Google's Kubernetes has established itself as the industry standard for container orchestration within businesses. Google Kubernetes Engine is utilized by businesses that place the utmost importance on their applications to maintain the greatest levels of dependability, security, and scalability (GKE).
In the second quarter of 2020, more than one hundred thousand companies all around the world utilized at least one of our application modernization platforms or services, such as GKE. Up until quite recently, optimizing Kubernetes typically required a significant amount of manual configuration. You can now focus on your programme without having to worry about the underlying infrastructure now that GKE Autopilot, the new mode of operation for managed Kubernetes, is ready.
Kubernetes and Google Container Engine (GKE) are wonderful options for many companies since they offer powerful and versatile cluster management along with complete administrative access. For some people, the level of control and flexibility may be excessive or daunting in relation to the amount of work they have to do, while for others, it may represent a straightforward method for generating a more secure and consistent atmosphere in which to create.
Because it maintains the cluster's architecture, control plane, and nodes, the autopilot may make it possible for businesses to install Kubernetes and streamline operations. This is because Kubernetes is a container orchestration system.
47. What is the Kubernetes platform that Google uses?
Students will learn how to construct containerized applications and deploy them using Google Kubernetes Engine by taking this course (GKE). Participants investigate and install different components of the solution, such as infrastructure pieces like pods and containers, through a combination of talks, live demos, and hands-on laboratories.
49. In relation to cloud services, what do you believe to be the most essential factors to take into account?
When it comes to cloud services, scalability, adaptability, and cost-effectiveness are three of the most important factors to consider.
One of the most important features of a cloud service is the ability to raise or decrease consumption without incurring any additional costs. This is one of the most valuable qualities of a cloud service. This is a significant advantage in comparison to more conventional, on-premise systems, the expansion of which might often be financially impossible.
The versatility of cloud services is another thing that sets them apart. A cloud service provides businesses with a great deal of versatility in terms of pricing and service levels, giving them the ability to find the arrangement that is best suited to their particular necessities.
The inexpensive cost of cloud services is another significant advantage of using these services. Because of the lower overhead costs involved with their mode of distribution, online services are frequently more cost-effective than on-premise ones. It may be possible to acquire them on a "pay as you go" basis, which could result in additional savings on costs.
50. Who or what are system integrators when it comes to the Cloud?
It's possible that the cloud is made up of a lot of different and complicated elements. A system integrator in the cloud is required for a variety of cloud-related tasks, including the development of a cloud, the integration of its numerous components, and the establishment of a hybrid or private cloud network.
51. How do the different deployment models for software as a service (SaaS) work, and what are they?
Each customer in a single multi-tenant SaaS environment has their own dedicated set of resources, so they do not need to worry about sharing them with other tenants.
A more nuanced approach to multi-tenancy: The same collection of features is made accessible to multiple tenants through the utilization of a SaaS deployment strategy that pools the resources at their disposal.
52. Before we can implement cloud computing, we need to have a better understanding of why it is necessary to have a virtualization platform.
Using virtualization technology, it is possible to generate a variety of different things, including operating systems, virtual storage, networks, applications, and so on. Utilizing virtualization will allow for the expansion of the currently installed infrastructure. Many applications and operating systems are compatible with the servers that are now available.
53. Which accounts for which services are now available? How do you intend to go about making one of these?
Sadly, this is a typical question asked at interviews for Google Cloud jobs. The progress of project-specific services can be monitored through the use of service accounts. They are utilized in order to grant permission to Google Compute Engine to act on the user's behalf, hence providing the service access to data that is considered to be relatively harmless.
The Google Cloud Platform Console and the Google Compute Engine service accounts are the most often used of the many different kinds of service accounts that Google offers.
It is not necessary for the user to create an account for the service on their own. This file is automatically generated by the Compute Engine whenever a new instance of something is created. When an instance is created in Google Compute Engine, an administrator has the ability to restrict the privileges of the service account that is connected with the instance.
GCP allows developers to build and execute apps on Google's servers. Google, Microsoft, Amazon, and IBM use it. It helps developers design and operates apps without installing software. GCP lets you use the same app-making tools as on your own computer. Developers may create apps quickly and easily. Small and large enterprises can use GCP. Large enterprises can use GCP for both testing and debugging. These are common Google Cloud Platform interview questions. If you can answer them you'll ace your interview.
Additional Interview Resources
GCP MCQ Questions
A targeted advertising service uses matching advertisers and their keywords to determine which users and search profiles are suitable for ad serving.
There are many Web traffic analysis tools, but Google's is the most popular.
What service enables users to browse and download online data offline?
Google Wave and AdWords were created on open-source platforms that were used to create them?
What service do you configure in the managed Apache Spark cluster?
You do not have a GCP organization in your project. Which type of account do you have?
Do you think that introducing load-balancing and autoscaling managed instance groups for Compute Engine would be beneficial or harmful?
An application that sends messages using the MQTT protocol requires which service?
Can you run Cloud Run on Google Kubernetes Engine (GKE) using the GKE cluster service or the Cloud Run service on Google Kubernetes Engine?
Which data storage class should you set for monthly data access?