GCP (Google Cloud Platform) is regarded for having the toughest interview questions. Because professionals in this field are in such great demand, job interviews are incredibly difficult. In this blog, you will learn about the top questions that recruiters may ask you while preparing for the Google Cloud Professional Developer interview, to help you prepare well and answer confidently. So, before you go to your interview, go over the following Google Cloud Platform interview questions:
1. What is cloud computing and how does it work?
Cloud computing is a new computer technology that is based on the internet. It is a next-generation technology that makes use of cloud computing to deliver services to users whenever and wherever they need them. It allows you to connect to a number of servers all around the world.
2. What are some of the advantages of cloud computing?
The following are the key advantages of cloud computing:
- Data backup and data storage
- Capabilities of a powerful server
- Productivity has increased.
- It’s a very cost-effective and time-saving solution.
- SaaS stands for Software as a Service.
3. Define Cloud.
A cloud is a collection of networks, hardware, software, services, storage, and interfaces that enable computing as a service to be delivered. There are three people who use it:
- Customers/clients
- Users who work in business management
- provider of cloud services
4. What are the many forms of data used in cloud computing?
Emails, contracts, photos, blogs, and more data kinds exist in cloud computing. As we all know, data is growing at an exponential rate, necessitating the creation of new data kinds to accommodate this growth. If you wish to store video, for example, you’ll need a new data type.
5. What platforms are utilised for cloud computing on a wide scale?
For large-scale cloud computing, the following platforms are used:
- Hadoop (Hadoop) is an open-source
- MapReduce
6. In cloud computing, what are the various layers? Explain how they function.
There are 3 layers in the hierarchy of cloud computing.
- Infrastructure as a service (IaaS):It provides cloud infrastructure in terms of hardware as like memory, processor, speed etc.
- Platform as a service (PaaS):It provides a cloud application platform for the developer.
- Software as a service (SaaS)::It provides cloud applications to users directly without installing anything on the system. These applications remains on cloud.
7. What exactly do you mean when you say “software as a service”?
Cloud computing’s Software As a Service (SaaS) layer is crucial. It, like Google, offers cloud-based apps. It allows users to save documents to the cloud and create new ones.
8. What exactly is platform as a service (PaaS)?
In cloud architecture, it is also a layer. This paradigm is based on infrastructure and provides resources such as computers, storage, and networking. It is in charge of providing complete virtualization of the infrastructure layer, making it appear as if it were a single server to the outside world.
9. What platforms are available for large-scale cloud computing?
For large-scale cloud computing, Apache Hadoop and MapReduce are the platforms of choice.
10. What exactly is a private cloud?
Private clouds are utilised for a variety of reasons, including securing strategic operations. It is a fully working platform that may be owned, operated, and confined to a single organisation or industry. Due to security concerns, the majority of businesses have switched to private clouds. A virtual private cloud that is operated by a hosting firm is being used.
11. Define Hybrid Clouds.
Hybrid clouds are made up of both public and private clouds. It is recommended above both clouds because it uses the most robust method to cloud architecture implementation. It combines the best of both worlds’ functionalities and characteristics.
12. Is there a distinction between cloud computing and mobile computing?
The concepts of mobile computing and cloud computing are similar. The concept of cloud computing is used in mobile computing. While in mobile computing, cloud computing supplies users with the data they demand, while programmes run on a remote server and provide users access to storage and management.
13. What is the distinction between elasticity and scalability?
Scalability is a feature of cloud computing that allows it to accommodate increasing workloads by increasing resource capacity proportionally. The architecture makes use of scalability to deliver on-demand resources if traffic increases the need. Elasticity, on the other hand, is a property that allows for the dynamic commissioning and decommissioning of enormous amounts of resource capacity. It is determined by the rate at which resources are made available and the amount of time they are used.
14. What are the advantages of cloud computing in terms of security?
Cloud computing is utilised in identity management since it authorises the application service.
It allows users to restrict the access of another user who enters the cloud environment by giving them permissions.
15. What does utility computing entail?
Utility computing is a plug-in that is administered by an organisation that determines what kind of cloud services must be delivered. It allows customers to pay only for the services they utilise.
16. In cloud computing, what is “EUCALYPTUS”? What is the purpose of it?
Elastic Utility Computing Architecture For Linking Your Program To Useful Systems is an acronym that stands for Elastic Utility Computing Architecture For Linking Your Program To Useful Systems. It is an open-source cloud computing software architecture that is used to construct cloud computing clusters. It offers public, private, and hybrid cloud services.
17. Explain the role of cloud computing system integrators.
The strategy of a difficult procedure required to design a cloud platform is provided by a system integrator. Because the integrator has all of the expertise about data center creation, it develops a more realistic hybrid and private cloud network.
18. What databases are available on open source cloud computing platforms?
Open source cloud computing platform databases include MongoDB, CouchDB, and LucidDB.
19. Could you give an example of a huge cloud provider and database?
- Google bigtable
- Amazon simpleDB
- Cloud based SQL
20. What is the difference between traditional datacenters and cloud datacenters?
Traditional datacenter costs are greater than cloud costs because traditional databases have overheating issues as well as software and hardware issues.
21. What makes Software as a Service (SaaS) different?
- Multi-tenancy is a simple concept. In this mode, each user has their own resources and is distinct from other users. This is a very effective model.
- Fine-grained multi-tenancy: In this mode, resources can be shared by multiple users while maintaining the same functionality.
22. What are the benefits of using APIs in cloud services?
APIs (Application Programming Interfaces) are utilised in cloud platforms for the following reasons:
- Firstly, It provides an alternative method for you to avoid having to develop a full-fledged programme.
- Secondly, It allows one or more applications to communicate with one another.
- It develops apps and connects cloud services to other systems.
23. What are the benefits of cloud computing?
- Cost-cutting: It aids in the corporate sector’s investment usage. As a result, it saves money.
- Scalable and Reliable: It aids in the development of scalable and reliable applications. Scaling used to take months, but now it only takes a few days.
- It helps to save time when it comes to deployment and maintenance.
24. What are the different types of cloud datacenters?
- Containerized datacenter
- Low density datacenter
25. What exactly do you mean when you say “CaaS”?
Communication As a Service (CaaS) is a concept used in the telecom sector. Enterprise users can use CaaS to get services like desktop call control, unified messaging, and desktop faxing.
26. What exactly do you mean by virtual private network (VPN)? What is it made up of?
The term VPN refers to a virtual private network. VPN stands for Virtual Private Network, and it is a private cloud that manages data security throughout cloud communication. You can use VPN to turn a public network into a private network.
27. In cloud computing, what are the fundamental clouds?
In cloud computing, there are three types of clouds:
- Professional cloud
- Personal cloud
- Performance cloud
28. What are the most important considerations to make before deciding on a cloud computing platform?
- Compliance
- Loss of data
- Data storage
- Business continuity
- Uptime
- Data integrity in cloud computing
29. What services does the Windows Azure operating system provide?
There are three core services provided by Window azure operating system:
- Compute
- Storage
- Management
30. What role does the virtualization platform play in cloud implementation?
The following are the most common uses of virtualization platforms in cloud implementation:
- It’s used to keep track of service level agreements.
- A cloud operating system is a software that runs on the internet.
- Virtualization systems make it easier to keep the backend and user-level concepts separate.
31. How would you safeguard data for cloud transport?
This is the most obvious question that arises when considering whether or not cloud data is secure. To make sure, double-check that the encryption key used with the data you’re providing isn’t leaking data as it travels from point A to point B in the cloud.
32. On-demand functionality is provided by Cloud Computing in what way?
Cloud computing was built on the premise of giving functionality to all of its users on-demand, at any time, and from any location. The idea is considerably easier to achieve now than it was previously, thanks to recent improvements and easy access to applications like Google Cloud. Users may browse files on the cloud on any device at any time they choose, no matter where they are in the globe, thanks to applications like Google Cloud.
33. What is Google Cloud Platform, and how does it work?
Google Cloud Platform is a Google-developed cloud platform that allows users to access cloud systems and computer services. GCP provides a wide range of cloud computing services in the compute, database, storage, migration, and networking sectors.
34. What are the Google Cloud Platform’s various components?
Like the last question, this is another common Google Cloud interview question. You can respond by stating that Google Cloud Platform (GCP) is made up of a number of components that assist people in various ways. I’m familiar with the following GCP elements:
- Firstly, Google Compute Engine
- Secondly, Google Cloud Container Engine
- Thirdly, Google Cloud App Engine
- Next, Google Cloud Storage
- Further, Google Cloud Dataflow and BigQuery Service
- Moreover, Google Cloud Job Discovery and Cloud Endpoints
- Google Cloud Test Lab
- Last but not least, Google Cloud Machine Learning Engine
35. What are the primary benefits of utilising Google Cloud Platform?
Google Cloud Platform is a platform that connects people to the best cloud services and features available. It is gaining popularity among cloud experts and users due to the benefits it provides. The following are the key benefits of adopting Google Cloud Platform over other platforms:
- In comparison to other cloud service providers, GCP offers a significantly lower price.
- Google Cloud servers allow you to access your information and data from any location.
- When it comes to hosting cloud services, GCP offers better overall performance and service.
- Google Cloud is very quick to provide server and security updates in a more timely and efficient manner.
36. What are the advantages of using Google Cloud Hosting?
The benefits of Google Cloud Hosting are the reason for choosing it. The following are some of the benefits of using Google Cloud Hosting:
- Better price plans are now available.
- Benefits of Machine Migration in Real Time
- Performance and execution have improved.
- Constant Development and Expansion Commitment
- The private network ensures optimal efficiency and speed.
- The cloud platform has a high level of control and security.
- Data integrity and reliability are ensured via redundant backups built into the system.
37. What Google Cloud Platform libraries and tools are available for cloud storage?
For cloud storage on Google Cloud Platform, the XML API and JSON API are available at the core level. However, in addition to these, Google provides the following options for interacting with cloud storage.
- The Google Cloud Platform Console is a tool for performing basic operations on objects and buckets on the Google Cloud Platform.
- Cloud Storage Client Libraries are libraries that support a variety of computer languages, including Java, Ruby, and Python.
- The GustilCommand-line Tool is a command-line interface for cloud storage.
38. What are your impressions about Google CE?
Google Compute Engine is a software-as-a-service offering that provides self-managed and configurable virtual machines hosted on Google’s infrastructure. It contains virtual machines based on Windows and Linux that can run on local, KVM, and durable storage.
It also comes with a REST-based API for control and setup. GCE interfaces with other Google Cloud Platform technologies, such as Google App Engine, Google Cloud Storage, and Google BigQuery, to expand its computing capabilities and hence enable more sophisticated and complicated applications.
39. What is the relationship between GCE and Google App Engine?
Google Compute Engine and Google App Engine are mutually beneficial. GCE is an IaaS service, while Google App Engine is a PaaS service.
GAE is commonly used to power web-based apps, mobile backends, and line-of-business applications. Compute Engine is an excellent alternative if you want more control over the underlying infrastructure. Compute Engine, for example, can be used to construct bespoke business logic or to run your own storage system.
40. How does the GCP cloud pricing model work?
GCP charges users for compute instances, network use, and storage while working on the Google Cloud Platform. Google Cloud charges virtual machines on a per-second basis, with a minimum price of one minute. The cost of storage is then calculated based on the amount of data you store.
The network cost is determined by the quantity of data transmitted between virtual machine instances communicating across the network.
41. What are the different authentication mechanisms for the GCE API?
There are different methods for the authentication of GCE API:
- Using OAuth 2.0
- Through client library
- Directly with an access token
42. What are the different types of service accounts? How are you going to make one?
The Service Accounts are the specific accounts associated with a project. The service accounts are used to authorize Compute Engine to undertake tasks on behalf of the user, allowing it to access non-sensitive data and information. These accounts handle the authorization procedure for the user, which simplifies the authentication process from Google Cloud Engine to other services. It is important to note that service accounts are not utilize to gain access to the user’s information.
There are various types of service accounts offered by Google but mainly, users prefer to use two types of service accounts, these are –
- Google Cloud Platform Console service accounts
- GCE service accounts
43. What are your Projects knowledge levels?
The projects are the containers for GCE’s resources. The following are the important points concerning the projects:
- The projects are divided into sections.
- The initiatives are not designed to share resources.
- Users and proprietors of the projects may vary.
- All of the projects’ billing is done individually.
- The projects are no longer interconnected.
44. What method will you use to create a project?
To create a Project, follow the procedures outlined below —
- To get started, go to the Google Cloud Platform Console.
- Create a new project or pick an existing project when prompted.
- Follow the on-screen instructions to set up billing.
45. What’s the difference between a Project Id and a Project Number?
The project id and the project number are the two elements that can be used to identify a project. The following are the differences between the two:
The project number is generated automatically whenever a new project is created, whereas the project number is generated by the user. For many services, the project number is required, although the project id is optional (but it is a must for the Compute Engine).
46. How are you going to ask for greater quota for your project?
For various types of resources, all Compute Engine projects are given some preset quotas. Quotas can also be increased on a per-project basis. The quota page on the Google Cloud Platform Console may be used to verify the project’s quota restrictions.
If you notice that you have surpassed the quota limit for your resources and would like to increase it, you may use the IAM quotas page to request more quota for individual resources. Using the Edit Quotas button at the top of the page, you can request more quota.
47. What is Google BigQuery, and how does it work?
Google BigQuery is a replacement for the typical data warehouse’s hardware setup. It is employed as a data warehouse and hence serves as a central repository for all of an organization’s analytical data. In addition, BigQuery divides the data table into components called as datasets.
48. What are the advantages of BigQuery for data warehouse administrators?
For data warehouse practitioners, BigQuery comes in handy in a number of ways. Here are a few of them:
- BigQuery dynamically allocated query resources and storage resources based on demand and usage. As a result, it does not necessitate resource provisioning prior to use.
- For efficient storage management, BigQuery stores data in a variety of ways, including proprietary format, proprietary columnar format, query access pattern, Google’s distributed file system, and others.
- BigQuery is a completely up-to-date and managed service. BigQuery engineers handle all of the service’s updates and maintenance without any downtime or performance degradation.
49. What are the multiple Google Cloud SDK installation options?
- The Google Cloud SDK can be installed using one of four distinct methods. The user can instal Google Cloud Software Development Kit using any of the options below, depending on their needs.
- In this situation, the user can install Google Cloud SDK by downloading a versioned ZIP for a non-interactive installation of a specific version of Cloud SDK.
- YUM is used to download the latest published version of the Google Cloud SDK in package format when running Red Hat Enterprise Linux 7/CentOS 7.
- APT-GET is used when running Ubuntu/Debian.
- APT-GET is used to get the latest released version of the Google Cloud SDK in package format while running Ubuntu/Debian.
- The user can utilize the interactive installer to install the newest version of the Google Cloud SDK for all other use cases.
50. What are Google Cloud APIs and how can I use them? How do you gain access to them?
Allow consumers to bring the power of everything to your Google Cloud-based app in the most straightforward way possible. Everything from storage access to machine learning-based picture analysis can benefit from APIs.
- Using the Google Cloud APIs
- Client libraries from server programs make it simple to use Cloud APIs. To use Google Cloud APIs, you can use a variety of programming languages, mobile applications with Firebase SDKs, or third-party clients. The Google Cloud Platform Console Web UI or the Google SDK command-line tools can also be used to access Google Cloud APIs.
Conclusion of Google Cloud Interview Questions
These are some of the most common interview questions for Google Cloud. These interview questions will definitely help you analyze and enhance your present level of expertise if you are someone who has recently begun a career in Google Cloud. We hope this was of assistance! Testpreptraining will keep you safe while you practice!
