Cloud computing Interview Questions and Answers
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Best Cloud computing Interview Questions and Answers
Cloud computing is one of the vast topics that cover some of the vital subjects that include cloud architecture, layers of cloud, components of cloud, cloud computing services, virtualization, Windows Azure and more. Coursejet is declared to be a one-stop resource for both beginners and experienced to prepare for cloud computing interviews. The main reason why most of the organizations are now transforming to the cloud is that they can store any volume of business data easily and effectively in the cloud; also, these data can be extracted or accessed at anytime from anywhere as and when they need those data. And, this is why in recent days there is a huge demand for certified and experienced cloud computing specialist. So, Coursejet guides every aspirant to step into the specialized field called “Cloud” to come up in their life and establish a great career of their dreams.
Frequently asked Cloud computing Interview Questions and Answers
In this blog, we have posted the top 50 Cloud computing Interview Questions and Answers. These questions are frequently asked by the leading recruiters in the industry. Also, Coursejet has tie-up with several interviewers and these questions are prepared in consultation with them such that it will be highly useful for the aspirants. You will find most of the tricky questions asked nowadays and the answer to those questions. Both freshers and experienced can make use of our blog as these top 50 cloud computing interview questions and answers are prepared based on your particular necessities. Red Hat, Google, Oracle Cloud, IBM cloud, VMWare, Adobe, AWS, SAP, Verizon cloud are some of the top multinational companies that are looking for certified cloud specialists, so take your first step today! Join the cloud computing online courses, get cloud computing certification, and then, make use of our interview questions and excel in your career life. We wish you all success in your future endeavors.
- It efficiently stores and backs up data whenever required.
- It assures a reliable and robust server availability and utility.
- It supports software as a service or SaaS.
- It can provide users with highlights that include information technology sandboxing and more.
- Also, through cloud computing business owners can enjoy maximum productivity, can consume time and IT cost.
Data storage is the main concern nowadays as many are moving towards smartphone and this is the reason why cloud computing came into existence. The usage of high-end hardware and software is highly reduced as cloud computing made its path recently. We will need only software initially to interface while all the other process will be carried out easily using cloud computing.
In this blog, we team of Coursejet has covered almost every interview questions that are related to cloud computing.
The most important components of cloud computing are as follows:
- Storage as a Service – To use or to request storage, this component can be used.
- Database as a Service – This is one of the components that perform as an active database from remote.
- Information as a Service – This is a piece of particular information which can be accessed from anywhere at any time.
- Process as a Service – The resources like data and services can be combined together using this component.
- Application as a Service – It is an entire application that is built perfectly for the usage of the clients.
- Platform as a Service – This is one of the components where an app is built, databases are being created, executed, saved and tested.
- Integration as a Service – This is the main component use to integrate an app with other necessary applications.
- Security as a Service – It is used to implement the required security.
- Management as a Service – It is used to manage cloud in the form of virtualization, resource utilization, server and time management.
- Testing as a Service – It can test applications that are being hosted.
- Infrastructure as a Service – It can be used to manage software, hardware, networks, servers and more.
A little tricky question asked by most of the cloud computing interviewers recently but the answer is the same as features. Go through this question before you are taking part in a cloud computing interview:
- It ensures a standard and an easy to use interface
- It supports on-demand self-service and automation to an extent
- It is easy to scale and ensure resource pool
- It is highly available, economical and supports pay on the go concept
Professional cloud, Performance cloud and Personal cloud are some of the common clouds that are involved in cloud computing.
Apache Hadoop and Map Reduce are the two important and featured platforms that are compatible with large-scale cloud computing.
Apache Hadoop – It is one of the Java-based open-source platforms which generates a computer pool which comprises of the file system. Also, it can cluster the elements, applies only identical hash algorithms and creates copies of the existing files.
Map Reduce – It supports distributed computing and is can be stated as software that is built by Google. It can handle and manage both structured and unstructured data. It makes use of a huge volume of data and several other cloud resources and then it can cater those data to other required companies in the form of clusters.
The open-source cloud can be defined as a solution or a cloud service which can be operated using open-source software and available open-source technologies which include private, public and hybrid cloud that provides IaaS, XaaS, SaaS or PaaS and are executed and implemented wholly on open source technologies only. OpenStack can be the best example of open source cloud computing.
A service that is utilized in order to provide cloud applications is known as the cloud service. The applications that are built using the cloud service can be accessed without the need for installing a particular application on the computer. The support and maintenance are highly reduced to cloud-based applications rather than the other applications that do not involve the cloud.
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The main functionality of both mobile computing and cloud computing is to transmit data wirelessly while cloud computing offers user data and mobile computing applications are executed on the remote server and provides users which access to store and manage user data.
This is one of the tricky and frequently asked cloud computing interview questions, so get used to it by practising before you attend an interview.
A plug-in that is ensured and effectively managed by any organization is known as utility computing which can also be stated as a deciding factor that comes up with the efficient services that have to be deployed effectively from the cloud. In utility computing, user can pay only for the particular services they are using.
Following table illustrates the major difference between cloud computing and on-premise computing.
Cloud Computing | On-premise Computing |
It is maintenance-free and requires less or no support | It needs support and maintenance |
It will be upgraded to the latest version automatically | Human intervention is required to update the latest version |
You can pay as you go | You cannot pay as you go |
It ensures excellent scalability | It ensures good scalability |
Listed below are some of the security aspects or security management services that are provided by cloud computing:
- Identity management – It ensures authorization and authentication of several service applications
- Access control – The administrator user will be given a complete access control of the other users who enter into a particular cloud platform
- Authentication and Authorization – Only authorized and authenticated user can access the cloud applications and data
This is one of the frequently asked cloud computing interview questions where aspirants get confused on the deployment models and layers. So, be cautious listen to the question carefully and answer perfectly.
The answer to the layers of cloud computing is as follows:
- CLC or Cloud Controller
- Walrus
- Cluster Controller
- Storage Controller (SC)
- Node Controller (NC)
The deployment models found in cloud computing is as follows:
- Private Cloud
- Public Cloud
- Community Cloud
- Hybrid Cloud
Encryption is the only way. Implement encryption key with every data that you transfer and examine that there is no data leakage.
Following are some of the benefits and uses of public cloud:
- On using a public cloud, you can pay only the resource that you use at a particular time period
- It is meant for commercial activities that manage a huge volume of workloads without affecting the functionality
- Consumers can make use of public cloud affordably as the cost for hardware and other applications are handled by the providers itself
- They are highly scalable and by using public cloud consumers will never experience any resource waste as they pay only for the resource they use
Users will experience the following advantages of making use of private cloud:
- This is one of the private groups owned by private sectors for their partners, employees or customers
- Only the person with access control can use the data within the private cloud as it is highly controlled
- All the features are similar to public cloud rather than security and maintenance
- It is highly expensive and automates the process like security, compliance and governance
Hybrid cloud can be defined as the combination of private cloud and public cloud; also, it can be defined as the mixture of internal and external cloud services. Mostly Hybrid cloud is considered where you want to maintain the confidentiality of the data and to acquire public cloud services as and when required.
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Following are some of the pros of hybrid cloud:
- Scalability
- Cost-effective
- Security
- Flexibility
Yes, there are few cons associated with hybrid cloud and they are as follows:
- It is infrastructure dependent
- Networking and security compliance
Cloud computing is declared to be the second home or storage unit of any organizations as it can generate computing excellence that is required for the recent technologies like Internet of Things, Artificial Intelligence, Data Mining, Machine Learning and more. Some of the famous cloud computing platforms are as follows:
- Amazon Web Services
- Microsoft Azure
- IBM Bluemix
- Google Cloud Platform
- Alibaba
Although there are several platforms available, Azure and Cloud are experiencing more users as they ensure maximum features, tools, APIs and more.
| Private Cloud | Hybrid Cloud |
| Private cloud stores only the specific organization’s data | A hybrid cloud can store both the public and private cloud data that are found in a shared environment |
| The services of a private cloud can be accessed only by an authorized user of the organization | In a hybrid cloud, the public resources can be accessed by everyone while the private resources can be accessed only by an authorized hybrid cloud user |
| The datacenter of the private cloud will be found within an organization’s network | In a hybrid cloud, the private datacenter will be handled by the hybrid cloud while the public datacenter will be controlled by CSP |
As cloud computing has introduced, most of the organizations found its features beneficial and has been transforming into a cloud platform for their business operations. And, most of the companies are seeking successful outcomes by shifting to the cloud. Some of the organizations have implemented cloud technologies to their existing systems and has increased the efficiency and improved the performance. The main cloud applications that are found effective in recent times are as follows:
- G Suite
- Microsoft Azure Platform
- Adobe Suite
- Kamatera
- phoenixNAP
- Amazon Web Services
- VMWare
- IBM Cloud
- SAP
- Verizon Cloud
- Navisite
- Dropbox
- Rackspace
- Red Hat
- Salesforce
- Oracle Cloud
Elastic Utility Computing Architecture For Linking Your Programs To Useful Systems is the full form of “EUCALYPTUS” in cloud computing.
- Nowadays, aspirants can experience this question in most of their cloud computing interviews and Coursejet feels content in providing the answer to this question.
- With EUCALYPTUS, clusters can be easily generated in the platforms of cloud computing
- It can also be used to effectively build public, private and hybrid cloud
- EUCALYPTUS is also used in private clouds to develop datacenters on their own
The list goes on as follows:
- Lucid database
- Couch database
- Mongo database
There are three main components associated with Windows Azure and they are as follows:
- Cloud
- SQL Azure
- App Fabric: Allows fabric cloud
The recent large cloud providers and databases are as follows:
- Google Bigtable
- Amazon Simple Database
- Cloud-based SQL (Sequential Query Language)
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The tabulation below will illustrate the main difference between the cloud and the traditional datacenters:
Cloud Computing | Traditional Datacenters |
When demand rises, the cloud can be scaled automatically and therefore cloud will not face any expenditure issues | Traditional datacenters are expensive as it faces heating, hardware and software issues. And, the expense is mainly related to the data center maintenance |
The main benefits of using APIs in cloud computing are as follows:
- APIs are also known as Application Programming Interface is used to neglect the need to write highly complex programs
- APIs provide the required information to share relevant details between one to another developed applications
- It makes applications which can be easily accessed and created at ease
Most of the recruiters nowadays are interrogating this question to check the ability of the aspirants attending the cloud computing interview:
Prepare the following points given below to answer this question without hassles.
- It can automatically scale as and when a demand rise
- It can manage and handle any volume of workload without causing any issues
- It is provided with capable hardware that can fulfill all the necessities of cloud architecture
The different building blocks of cloud architecture are listed below:
- Reference architecture
- Technical architecture
- Deployment operation architecture
System integrators in cloud computing ensure a particular strategy using which even a complex cloud platform can be created. Using system integrators, highly complicated private and hybrid clouds can be created at ease, as an integrator is filled with all the information regarding creating an effective datacenter.
The prerequisites required to implement a cloud computing platform are as follows:
- Compliance
- Data storage
- Uptime
- Business continuity
- Data integrity
- Data loss
The major significance of cloud architecture is as follows:
- It is one of the zero investment or investment-free architecture
- This infrastructure can be implemented in no time
- It makes uses of the resources without any losses
Scalability is one of the essential traits of cloud computing where the abundant workload can be maintained and handled by increasing the capacity of the available resources whereas elasticity is the process of commissioning and decommissioning the capacity of the available resources.
Most of the aspirants miss answering this question, so be more cautious, make use of the top 50 Cloud Computing interview questions and answers of Coursejet to crack this question.
Prepare the points that are listed below to crack this interview question and grab your dream career:
- Managing and maintaining the service level policies
- Effectively organizing the cloud’s operating system
- Knowing how both backend level and user level virtualization platforms are different from each other
Listed below are some of the laws which can be used to secure the cloud’s data.
- Processing – This can be effectively used to process and complete an application.
- File – It can be used to manage and control data manipulation at ease
- Output reconciliation – It can be used to reconcile the output data and the input data
- Input validation – It can be used to control data in the cloud
- Security and data backup – It can protect the data from security threats and data loss
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The following are some of the phases that are available in cloud computing:
- Cleanup phase
- Shutdown phase
- Launch phase
- Monitor phase
Listed below are some of the components of cloud architecture:
- Cloud provided services
- Cloud storage services
- Cloud ingress
- Processor speed
- Intra-cloud communications
A common interview question asked frequently. Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) are some of the different layers of cloud.
The different modes of SaaS are as follows:
- Simple multi-tenancy: The mode is an efficient mode that is highly user independent and this trait is unique rather than the other modes.
- Fine grain multi-tenancy: It uses several users to cater the resources with the same functionality.
CaaS can also be defined as the Communication as a Service which is effectively utilized in the telecom industry to ensure several benefits to the users like desktop call control, desktop faxing and unified messaging.
One of the effective layers of cloud known as Platform as a Service which grants the infrastructure layer’s overall virtualization. It is actually implemented in the infrastructure model that ensures several resources which might include storage, network and computers.
The architecture type that is effectively used to build cloud architecture is known as a “Grid” which is catered to various organizations that use data centers for their business needs.
Virtualization in the cloud is used to transfer or migrate virtual images from one of the physical machines to another at ease. With the help of virtualization, users can execute several optimizations without any hassles.
ADC can also be termed as the Application Delivery Controller which is allocated to VIPs known as Virtual IP address using which the pool of servers can be mapped effectively.
This is one of the common cloud computing interview questions asked frequently in the interviews recently.
Containerized data centers and Low-density datacenters are the two different types of data centers that are deployed effectively for cloud computing.
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