A career in cloud computing is certainly a wise choice considering its growing demand. It's a lucrative field with plenty of career options to choose from. Beginning a career here means acing interviews conducted by experienced professionals. These top cloud computing interview questions are certainly going to help those who are appearing for one soon.
This blog covers cloud computing questions and answers for freshers, intermediates and experienced. So, irrespective of the experience one holds, this blog is apt for all.
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Cloud Computing Interview Questions for Freshers
Getting a job as a fresher can be tiring and pretty difficult as more experienced people are always in the running for similar positions. These interview questions on cloud computing, however, make things easier.
Question 1. List some key features of cloud computing.
Cloud computing is a technology that is gaining so much popularity because of its numerous features, some of which are-
Location independent
Reliable
Agile
Scalable
Multi-tenant
Question 2. Explain the different cloud versions.
There are two main types of cloud versions, along with a lesser popular version too.
Private Cloud - All the services, interfaces, hardware, storage, applications and networking is owned, operated and managed by the organization itself. It is used by the organization's customers, employees and partners. A third-party can also do all the above tasks but for a simple enterprise only.
Public Cloud - All the services, hardware, storage, networking, etc. is owned, operated and managed by a third-party for different individuals or companies. Commercial providers construct a highly scalable data center. Organizations are saved from bearing the setup and maintenance cost.
Hybrid Cloud - Many companies also prefer to use a combination of these two versions, which is referred to as hybrid cloud.
Question 3. What do cloud consumers mean in a cloud ecosystem?
Cloud consumers are groups or individuals within a business unit using various types of cloud services to accomplish tasks. These could be developers utilizing compute services offered by a public cloud.
Question 4. Give a brief about cloud computing architecture.
Cloud computing architecture incorporates components and subcomponents essential for this technology. There are two key parts of it
Front-end - It's used by the users and incorporates user-side interfaces and applications. It includes components like web browser, web applications, local networks and mobile devices.
Back-end - It's utilized by the CSP (cloud service provider) to control and handle necessary resources. It includes deployment models, applications, security measures, gigantic data storage, etc.
Different components of the cloud computing architecture are -
Application
Client infrastructure
Runtime cloud
Service (SaaS, IaaS, PaaS)
Infrastructure
Security
Storage
Management
Internet
Question 5. Name the main characteristics of a cloud ecosystem.
The main characteristics of a cloud ecosystem incorporate -
Cloud applications & services
Integration & interoperability
Cloud service providers
Development APIs & tools
Cloud marketplaces
Question 6. What is a virtual machine?
A virtual machine, also called VM, is the digital version of a computer. These software have the ability to run operating systems (OS) and programs, perform computing functions, connect to networks and store data. VMs must be maintained via system monitoring and timely updates.
Question 7. What is meant by on-demand functionality?
On-demand functionality in cloud computing refers to getting access to the virtualized IT resources as needed. This is easily usable by subscribers. A shared pool containing storage, servicers, networks, applications and servers is utilized to provide configurable resources.You May Also Read - Cloud Computing Tutorial For Beginners
Cloud Computing Questions and Answers for Intermediates
Those with a few years of experience and expertise will benefit by revising these key cloud computing interview questions for intermediates.
Question 8. What are the different cloud delivery models?
Models that enable the representation of the computing environment are called cloud delivery models. These are the ones to know about-
Software as a Service (SaaS) - It's provided as a service to be utilized. Here, apps are created and hosted by a CSP in a multitenant model. Customers pay for what they consume.
Platform as a Service (PaaS) - It's a predefined and ready to use environment that comprises configured and deployed IT resources. It employs a ready-made environment encompassing pre-packaged tools and products.
Infrastructure as a Service (IaaS) - It provides a self-contained environment inclusive of infrastructure-centric IT resources. These can be managed and accessed through cloud service-based tools and interfaces. Since the resources are packaged and virtualized, the infrastructure's scaling, customization and runtime is simplified.
Function as a Service (FaaS) - It provides customers with a platform to enable them to manage, run and build app functionalities. The difficulties of managing and maintaining an infrastructure is eliminated.
Question 9. What is meant by direct customers in a cloud ecosystem?
In a cloud ecosystem, a direct consumer is an organization or a person maintaining a business relations with a cloud provider. These are also the ones that utilize the services offered by the CSP.
Question 10. What are the levels of data storage in the cloud?
The common levels in data storage provided by the cloud storage device mechanisms are -
Blocks - It's the smallest individually accessible unit in the data. It's closest to the hardware.
Objects - Data & associated metadata are organized as web-based resources.
Files - Files are collections of data, which are categorized into files.
Datasets - These are organized into a delimited, record or table-based format.
Question 11. Explain serverless components in cloud computing.
The serverless component in cloud computing facilitates building and running of applications without the burden of managing servers. The applications do have servers. They are just not managed by the developers. There are various services provided by this component. These include network management, database management, security management, etc.
Question 12. Explain cloud-enabling technologies.
The current cloud-based platforms are only workable because of the immense number of technologies that are a part of it. These technologies that make it happen are called cloud-enabling technologies. A few popular ones are-
Data Center Technology
Multitenant Technology
Broadband Networks & Internet Architecture
Web Technology
Service Technology
(Modern) Virtualization Technology
Question 13. What is CaaS?
CaaS is the acronym for Container as a Service. It is a cloud service model that enables users to edit, rate, upload and manage applications, collections and containers. It is done through tool-oriented virtualization, a web portal interface or an API. Cloud or local data centers are utilized in CaaS, which enables users to create secure, fragmented and rich applications.
Question 14. Explain Hypervisor in cloud computing?
A hypervisor in cloud computing refers to a kind of virtualization software employed in cloud hosting. It enables division and allocation of the resources on multiple pieces of hardware. Virtualization hypervisor is a program that offers isolation, abstraction or partitioning.You May Also Like - Best Cloud Computing Services
Cloud Computing Interview Questions for Experienced
Even those professionals with many years of experience and good expertise need to prepare before an interview. This is because the thinking space of hiring managers is always changing and it's best to know what can be asked.
Question 15. What is microservices architecture? List it's advantages.
Microservices architecture refers to an approach for a system design. It breaks the complex system into smaller, manageable services. Organizations that use microservices frameworks experience more flexible, easier-to-maintain and scalable systems. Some of the top advantages of microservices architecture are -
Improved fault isolation
Quicker deployment time
Accelerated scalability
Enhanced cost-efficiency
Better team productivity
Question 16. What factors should be considered prior to choosing microservices for a project?
It is important to keep these pointers in the mind prior to choosing microservices for a project -
Scalability requirements - It is beneficial to pick microservices if there is a need to incorporate flexible and scalable components.
Organizational readiness - It's important to ensure that the organization is ready to implement microservices. This is because microservices architecture needs communication structures, operational process adjustments and development methodologies.
Project complexity - Microservices architecture is beneficial for complex projects. This is because it breaks down complex ones into manageable, smaller services. Hence, if a project is complex, it will benefit from the implementation.
Team expertise - Since microservices architecture needs specialized skills, it is imperative to evaluate the technical expertise of the existing employees.
Question 17. What is edge computing?
Edge computing refers to a distributed IT architecture wherein the client data gets processed close to its source of origin. It shuffles certain portions of compute and storage resources closer to the data source and out of the central data center.The work gets performed on the place of data generation rather than being transmitted to the central data center to get analyzed and processed. This could be a sprawling utility, a retail store, a smart city or a factory floor. The result extracted by the computing work done at the edge is shimmied back to the key data center. Here, it gets reviewed.
Question 18. What is an AMI? What are the best practices to build an AMI?
An AMI or Amazon Machine Image is the provider of the information needed to launch an instance. It has to be specified upon launching an instance. A single AMI can be employed to launch multiple instances in case they all require the same configuration. These are stored in Amazon S3. Some best practices for building an AMI are -
It should adhere to all the policies mentioned in the AWS marketplace.
Verify the AMI prior to submitting it. Self-scanning can be used for this.
The latest packages, software and OS should be used to create it.
An SSH port should be made for Linux-based AMIs.
Secure the reselling rights for all paid Linux distributions. This excludes AWS-offered Amazon Linux, Windows AMI's, RHEL,etc.
An iterative process should be created for updating, republishing and building AMIs.
An RDP port should be made for Windows-based AMIs.
Question 19. What are the two data center deployments of cloud computing?
Cloud computing comprises these two types of data center deployments -
Containerized Data Centers - These are packages that comprise a stagnant set of network components, storage and services. These are all delivered to larger warehouse type facilities. Every deployment here is relatively unique.
Low-Density Data Centers - These are facilities with a significantly lower concentration of commuting equipment and servers. They generate less heat and also consume less power.
Question 20. How is edge computing different from cloud computing?
Here is a list of differences between edge computing different from cloud computing.
BASIS
EDGE COMPUTING
CLOUD COMPUTING
Meaning
It's a distributed computing architecture. Data storage and computing are brought closer to the data source.
It's a model to deliver IT services over the internet.
Cost
When compared, edge computing is a bit more expensive. It uses specialized software and hardware.
It's a bit less expensive since the users are only paying for what they are using.
Processing Location
The processing happens at the edge of the network/ closer to the point of data generation.
Data processing & analysis happens at the central location called the data center.
Data Security
Since the data is processed closer to the source, data security can be enhanced.
Since the data is transmitted through the network to the data center, data security is a bit more challenging.
Scalability
Scalability here is more challenging.
It is easy and quick to scale up or down.
Question 21. What is meant by elasticity and scalability in cloud computing?
Cloud elasticity is the cloud's ability to automatically compress or expand the infrastructural resources. The workload is the driving force behind this scaling up or down to more efficient management. Elasticity is a great cloud computing feature as it aids organizations in keeping the infrastructural cost minimal.Cloud scalability is the cloud's ability to handle the growing workload. This is extremely useful where good performance plays a big role in efficient working of the applications or software.
Final Words
There are plenty of things to learn and polish before actually appearing for the interview. These top cloud computing interview questions and answers are essential for those interested in ensuring they crack the interview with flying colors.Cloud computing is the key to ensuring businesses succeed. There is a huge growth potential in this field and hence, a good amount of competition too. To stay ahead of these contemporaries and ace the interview, it is imperative to stay focused and prepare well.Couse Schedule
