Cloud Computing Interview Questions and Answers
In today’s world, communications have evolved by leaps and bounds so much so that we can speak to one another, sitting in different corners of the world within a matter of few seconds. The wealth of information is no longer limited to voluminous books and libraries. Irrespective of the topic or theme of concern, detailed information is available at your fingertips.
The World Wide Web paved the path for such access to information. However, in contemporary times, even more, is few. So a static web server might give you access to certain information, but that may not suffice always. The advent of cloud computing has extensively resolved this limitation. Cloud computing has enabled users to access a wide range of servers.
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Understanding Cloud Computing?
Cloud computing refers to the virtual space that helps deliver hosted sources over the Internet. This includes databases, analytics, servers, networking as well as intelligence. All this is done keeping flexibility, innovation, and cost-effectiveness in mind. This has come to be of great help for businesses, both mid-size and small. Cloud computing makes use of machine learning, data analytics, and artificial intelligence. It goes without saying that with cloud computing, there have been many revolutions in the way data and documents are handled, making it an exceptional addition to the computing world.
Consequently, the applications of cloud computing have become extremely widespread and almost unavoidable. For any digital and software oriented career, interview questions on cloud computing have become a frequent occurrence. We have discussed some of the fundamental cloud computing interview questions here.
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Cloud Computing—Its History
In the simplest sense of the term, the process of renting a computing resource is “cloud computing.” The idea first came about around the 1950s. The top phases that have shaped cloud computing in its current avatar are-
- Idea: The period lasted during the 1960s and came to be with an introduction of the concepts of utility as well as grid computing. These were relevant until pre-internet times.
- Pre-phase: This phase ranged between 1999 and 2006. For all applications used as a service at this time, the internet was the main mechanism for delivery.
- Cloud: The phase of cloud actually began in 2007 with the formalization of SaaS, IaaS, and PaaS. Since then, leading organizations in the web and computer domains have come up with amazing breakthroughs in cloud computing.
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Interview performance helps the interviewer to decide the salary of a cloud engineer in India. So, how you perform in the interview directly affects your CTC. We have a list of basic cloud computing interview questions for freshers and experienced people to help them prepare for their big day with the right information.
These basic cloud computing interview questions are not exhaustive but will familiarise you with the basic concepts of cloud technology and help you to prepare for any interview questions on cloud computing if you’re venturing into this field. Practicing cloud analyst interview questions beforehand will offer you an edge over other candidates who may or may not have prepared in depth for the position.
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Here are the top cloud computing interview questions and answers that will prepare you to deal with complex cloud computing questions extended by employers. These interview questions on cloud computing also work as excellent cloud computing interview questions for freshers or simply as basic cloud basic interview questions to excel in an interview.
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Top Cloud Computing Interview Questions
Having an idea about the most popular cloud computing interview questions or cloud computing questions can help you prepare better for related interviews.
1. What are the advantages of Cloud Computing?
This cloud computing question must be answered with all the examples relevant to this time. Extending an outdated answer might lead recruiters to think your knowledge is limited to books. Here’s how you can approach this cloud computing question.
Cloud Computing technology helps the users avail of a more extensive network of global web servers. This directly boosts the productivity and performance of the web platform and makes development efficient in terms of cost and time. Cloud computing also increments the data storage and data backup capacities of the web servers. Due to the boosted interaction between different web servers, the server capabilities are made much more powerful.
2. Describe the different cloud service models?
There are predominantly three models of cloud service. Each come with their own sets of advantages and are at variance with each other with regards to one or the other features. Before opting for one of them, let’s understand their characteristics and gauge how they fit within our individual requirements.
- IaaS- Infrastructure as a Service (IaaS) consists of highly automated compute resources. Businesses can avail of on-demand hardware resources through IaaS without having to make any upfront hardware purchase. IaaS is highly scalable and can assist in quickly accessing and monitoring computers, database storage, and other networking services.
- PaaS-Platform as a Service (PaaS) is helpful in customizing applications that require cloud components. PaaS helps in streamlining the workflow in the situations which involve more than one developer. While developers can manage the applications, businesses get to use the network and storage.
- SaaS- Software as a Service (SaaS) refers to the service model where applications are delivered to the user using cloud platforms, and the third party can then manage the applications. They are incredibly convenient to use since they do not require any additional installations.
3. What are some of the popularly used cloud computing services?
Cloud computing has come to be used widely across industries. Some of the top players, in this case, are Windows Azure, Amazon Web Services, and iCloud, which is exclusively for the iOs users. These are the broadly used cloud platforms. However, there are emerging cloud services available in the market. Other popularly used cloud computing services include Google Cloud, Alibaba Cloud, IBM Cloud, and Oracle.
4. What are the main differences between public, private, and hybrid clouds?
Cloud deployment models vary, and understanding their suitability for different scenarios is essential.
Public Cloud: Owned and managed by third-party providers, the public cloud allows multiple organizations to share computing resources over the Internet. It offers scalability, cost-effectiveness, and offloading infrastructure management. However, data security concerns and limited customization might be drawbacks.
Private Cloud: Solely dedicated to one organization, the private cloud can be on-premises or hosted by a third party. It provides increased control, security, and customization, which is ideal for businesses with strict data privacy needs and specialized workloads. But it may involve higher initial costs and require in-house management expertise.
Hybrid Cloud: Combining public and private clouds, the hybrid cloud allows seamless integration and data portability. Businesses can enjoy scalability and cost savings for non-sensitive data in the public cloud while keeping critical applications and data secure in the private cloud. Proper integration and data synchronization are crucial in this approach.
5. How does cloud security work, and what are the primary concerns?
Cloud security encompasses a comprehensive array of measures and protocols to safeguard data, applications, and infrastructure within cloud environments. To achieve this, various methods are employed:
Data Encryption: Cloud service providers use encryption techniques to protect data during storage and transmission, ensuring that unauthorized access cannot compromise sensitive information.
Access Controls: Cloud platforms implement robust access control mechanisms to manage user permissions effectively, preventing unauthorized entry to critical resources.
Identity and Access Management (IAM): IAM solutions manage user identities, authentication, and authorization, allowing only authorized users to access specific resources.
Firewalls: Cloud providers utilize firewalls to monitor and control network traffic, creating a protective barrier against unauthorized access and potential threats.
Major concerns in cloud security include
Data Breaches: Unauthorized access to sensitive data is a significant concern, emphasizing the need for robust security measures to prevent data breaches and safeguard confidential information.
Insider Threats: Individuals with legitimate access to cloud resources, such as employees, can unintentionally or maliciously jeopardize data and systems.
Insecure APIs: Application Programming Interfaces (APIs) can be entry points for attackers. Ensuring robust API security is crucial to prevent vulnerabilities.
Data Loss: Data loss may occur due to accidental deletion or hardware failure, making robust data backup and recovery mechanisms essential.
Compliance and Regulatory Issues: Cloud providers must adhere to data protection and privacy regulations like GDPR, HIPAA, or PCI DSS, as non-compliance can lead to severe legal and financial consequences.
Shared Tenancy: In multi-tenant cloud environments, multiple users share resources, necessitating sufficient isolation and security measures to prevent data leakage and unauthorized access.
Misconfigurations: Improperly configured cloud resources can expose sensitive data or create entry points for attackers. Regular monitoring and adherence to best practices are crucial to prevent misconfigurations. By addressing these concerns with diligence, cloud security can be bolstered and data integrity maintained.
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6. Define Hybrid Cloud
Hybrid cloud integrates private and public cloud services to support parallel, integrated, or complementary tasks.
Rather than restricting organisations to uniform in-house data centres or outsourcing completely, the hybrid model effectively supports allocating processing across environments dynamically.
Certain sensitive, business-critical systems warrant running in private clouds or on-premises servers under strict control access policies meeting security regulations. Public options handle use cases around scalable web hosting, storage, or machine learning, giving vast self-service capacities despite looser tenancy. A hybrid cloud retains governance where compulsory while leveraging abundant elastic resources externally wherever efficiency gains arise.
Strategic workload placement minimizes costs when public cloud economics make sense while keeping custom legacy systems internally avoids risk.
7. What is the difference between the Hybrid Cloud and Hybrid IT?
The hybrid cloud term is supposed to be integrating public and private clouds.
Hybrid IT is what results when hybrid cloud efforts in organizations become more of advanced virtualization and automation environments with various features. And there haven’t been a lot of success stories of organizations being able to really build and maintain real hybrid clouds.
They’ve done some things with OpenStack, but, for the most part, private cloud-inspired environments powered by VMware dominate. Therefore, a substitute term — hybrid IT — actually better describes the bulk of hybrid scenarios. This does not, however, change the need for clarity in terminology.
The hybrid cloud must involve some combination of cloud styles (private, public, community), but physical location is not a definitive aspect of the style. The bottom line is that most users of the hybrid cloud term have really meant hybrid IT thus far.
8. What is The Packaging of Hybrid Cloud? What are the two main types of packaged hybrid cloud?
Packaged hybrid means you have a vendor-provided private cloud offering that is packaged and connected to a public cloud in a tethered way. Azure Stack from Microsoft is an excellent example of this packaging, but there is another approach as well. We call these two main approaches “like-for-like” hybrid and “layered technology” hybrid (spanning different technology bases).
Azure and Azure Stack typify the like-for-like hybrid approach. Azure Stack is not exactly the same as Azure in the public cloud, but they try to approximate it. AWS Outposts, as announced, can be used in a private cloud model (where no other companies have access). If so, it represents an example of the like-for-like approach.
However, the broader strategy represented by AWS Outposts would encourage a more distributed model where each Outpost is opened to near neighbours. Oracle Cloud at Customer (one of the original attempts at this) is also another example of this approach, but it is evolving toward a new style of cloud computing we call distributed cloud (see the Distributed Cloud section). Like-for-like solutions provide the “full-stack” but not necessarily the hardware, all managed by a single vendor.
The layered hybrid approach is based on integration across different underlying technology — a portability layer of sorts. This is where Google and IBM have focused. Google, with its recently announced Anthos (formerly its cloud services platform) and IBM with its cloud private as well as the direction it is headed in with the pending acquisition of Red Hat and Openshift, which also fits into this model. There are many challenges regarding this approach’s ability to fulfill on the vision of distributed cloud
9. What is a Distributed Cloud?
The distributed cloud may be defined as the distribution of public cloud services to different physical locations. They are specifically used to meet various kinds of compliance needs and performance requirements. In contrast, operation, governance, updates, and the evolution of the services are the responsibility of the originating public cloud provider.
Distributed cloud computing is a style of cloud computing where the location of the cloud services is a critical component of the model. Historically, the location has not been relevant to cloud computing definitions, although issues related to it are essential in many situations. While many people claim that a private cloud or hybrid cloud requires on-premises computing, this is a misconception.
A private cloud can be done in a hosted data center or, more often, in virtual individual cloud instances, which are not on-premises. Likewise, the hybrid cloud does not require that the individual components of the hybrid are in any specific location. However, with the advent of distributed cloud, location formally enters the definition of a style of cloud services.
Distributed cloud supports the tethered and untethered operation of like-for-like cloud services from the public cloud “distributed” out to specific and varied physical locations. This enables an essential characteristic of distributed cloud operation — low-latency compute where the to compute operations for the cloud services are closer to those who need the capabilities. This can result in major upgrades in performance and reduce the risk of global network-related outages.
Furthermore, distributed clouds also provide us with guaranteed quality of service (QoS), especially for mission-critical applications and mobile users.
Read: How to become a good cloud engineer?
10. Define what MultiCloud is?
Multicloud computing may be defined as the deliberate use of the same type of cloud services from multiple public cloud providers.
This term has been challenging because, while there are three main use cases, there are other uses of the term in common use as well. And one of them is the use of multiple cloud providers for different purposes. A prevalent situation is for an organization to use AWS for infrastructure and Office 365 for the cloud office.
This is very clearly two various providers, but also clearly for two very different purposes. This is not a deliberate use of the two in any coordinated way, so that’s not really indicative of the primary intent of multi-cloud. There are also other multi cloud-oriented situations, such as relying on application providers to support multiple platforms underneath.
But multi-cloud is really a deliberate strategy to deal with and leverage the potential benefits (for example portability and vendor independence) of multiple cloud providers for, in most cases, the same or similar types of scenarios or things
Answering such cloud computing basics interview questions in-depth will enable recruiters to know your basics are polished, and you can easily take up the role knowing its foundation.
11. What is a multi-cloud strategy?
The way most organizations adopt the cloud is that they typically start with one provider. They then continue down that path and eventually begin to get a little concerned about being too dependent on one vendor. So they will start entertaining the use of another provider or at least allowing people to use another provider.
They may even use a functionality-based approach. For example, they may use Amazon as their primary cloud infrastructure provider, but they may decide to use Google for analytics, machine learning, and big data. So this type of multi-cloud strategy is driven by sourcing or procurement (and perhaps on specific capabilities), but it doesn’t focus on anything in terms of technology and architecture.
Two of the major factors that drive the deployment of a multi-cloud strategy are redundancy and vendor lock-in concerns. Apart from these, other factors might also include the need for more price-competitive cloud services, speed, capacity, or the various other advantageous features that accompanies a particular cloud provider of a particular location.
The next step, as they mature, is toward what we call multi-cloud management or governance. This step comes after you have multiple providers, and you need to have some semblance of control over the resultant environment. It can be simple, a single pane of glass for monitoring and then progressing from there. There may also be a multi-cloud architecture where you actually have a desire to make the workloads portable, either as a possibility or in actuality.
This leads to a focus on portability, similar in concept to Java. You could even go into very advanced environments like cloud bursting or dynamic figuring, which is the dynamic allocation of where you’re going to run workloads based on availability or spot pricing. Those things are pretty rare today. But with more and more advanced cloud use cases, these scenarios are becoming more real. In fact, with the advent of these new packaged hybrid types of environments, we may see more of that because it’ll be easier to do.
There are instances when multi-cloud is not so much a strategy as it is a situation that must be dealt with. The result of a merger or acquisition can lead an organization this way, as can other situations best described as evolutionary. Much of what is described here is applicable, but it should be noted that there are exceptions
12. What is Cloud-Native
Cloud native is a frequently discussed topic in the cloud computing basic interview questions. Let’s find out its basic definition to get started.
Cloud-native definition: Something is cloud-native if it is created to leverage cloud characteristics.
Those cloud characteristics are part of the original definition of cloud computing. It’s all about capabilities delivered as a service that is scalable and elastic, metered by use, service-based, ubiquitous by means of internet technologies, and shared. Sometimes people will trade off one or more of these. For example, sharing can be problematic for some, and they may accept less elasticity as a result of not enabling sharing.
13. What is meant by Edge Computing, and how is it related to the cloud?
Unlike cloud computing, edge computing is all about the physical location and issues related to latency. Cloud and edge are complementary concepts combining the strengths of a centralized system with the advantages of distributed operations at the physical location where things and people connect. Edge is very common in IoT scenarios and is very different from the cloud. Cloud has never been about location. In fact, it has always been about the independence of location. That’s why private, public hybrid and all these other terms exist
There are many edge scenarios, but one of the more popular ones is where you have cloud and edge together, and the cloud provider (like Amazon with Greengrass) controls, runs and defines the architecture for what is out at the edge.
Edge and cloud are complementary and both part of a broader concept — distributed cloud. While there has been some confusion around these terms, greater understanding is happening and the majority of those pursuing edge computing strategies are now viewing edge as part of their overall cloud strategy.
14. State some of the key features of Cloud Computing.
This is one of the most popularly asked basic cloud computing interview questions for freshers, which exhibits your basic knowledge and promising skills in the cloud analyst interview questions. The following list contains some of the top features of cloud computing that you can extend in the interview to answer this question.
- Quality Of Service– Cloud computing provides its users with the best quality of service experience. Any compromise or irregularity in the said services can cause potential damage to the popularity of the company, and might result in loss of customers.
- Flexibility– In this dynamic competitive environment, scalability is one of the crucial elements for any company. However, scalability does not require companies to restart their servers since it can be done at any stage. Hosting in Cloud is one of the key features of cloud computing that enables its users to enjoy additional flexibility. Furthermore, cloud computing also provides flexibility in payment options, so companies no longer need to spend extra money on needless resources.
- Easy Maintenance– Cloud Computing resources are regularly updated with various features that help to improve their capabilities. The servers can be maintained quite effortlessly, which means the downtime is very low, often equivalent to zero.
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15. How is data loss prevented in cloud computing?
Cloud service providers implement various measures to prevent data loss and ensure the reliability of cloud data storage. A key technique is redundancy, where data is replicated across multiple physical drives and servers. Even if some hardware fails, data continues being available from replica copies. Providers also utilise error-checking mechanisms like parity bits and checksums to prevent and detect data corruption. Data is encrypted both at rest and in transit using industry-standard protocols, protecting it even if drives end up in the wrong hands. Backups are done periodically to secondary facilities, so data persists through regional outages or disasters.
Versioning tracks changes over time, allowing recovery of older versions of accidentally deleted or changed files. Through meticulous access control and identity management, providers minimise opportunities for data leakage, loss through human error or malicious actions. With disciplined data governance and advanced resilience mechanisms, cloud platforms provide enterprise-grade assurance against data loss while harnessing economies of scale.
16. What is the future of cloud computing?
Cloud computing is poised to continue disrupting industries in the years ahead. As connectivity and infrastructure improves globally, more enterprises are expected to migrate their data and workloads to the cloud, seeking agility, collaboration capabilities and economies of scale. Serverless computing could really take off, allowing organisations to focus innovation without managing infrastructure. Multi-cloud and hybrid cloud deployments will dominate as businesses avoid vendor lock-in and leverage diverse strengths of cloud platforms.
Emerging technologies like artificial intelligence, blockchain and quantum computing will likely integrate closely with cloud services for powerful combined capabilities. Security and data sovereignty will remain key considerations though. Further evolution of cloud interoperability standards will help data transfer across platforms. With 5G, proliferating edge devices and advances in virtualization, we can expect a deeper proliferation of cloud across sectors going forward. The future seems promising for cloud to become the foundational architecture powering innovation.
17. How do you monitor and manage cloud applications?
Managing cloud apps can be tricky with so many moving parts, but the major cloud providers like AWS, Azure, and Google Cloud give us some handy built-in tools to keep tabs on things. Their dashboards let you see at a glance how your compute, storage, and bandwidth are holding up. And services like CloudWatch aggregate all those error logs and transactions so you can pinpoint problems. Tracing requests end-to-end is super helpful for finding bottlenecks in complex multi-tier apps.
Cloud platforms also make it easy to set up auto-scaling policies, so your apps can scale up or down automatically based on demand. That’s huge for efficiency and cost control. And Kubernetes has been a game changer for wrangling containerised apps – it handles scaling, failovers, and more under the hood so you don’t have to.
Also, great third-party monitoring tools give you extra visibility into app performance. The key is getting visibility at the infrastructure and app layers. And you’ll want robust access controls, backup systems, and patching for governance and compliance.
18. What are the environmental impacts of cloud computing?
Here are the main environmental impacts of cloud computing in bullet point form:
- Energy usage – Massive data centers consume large amounts of electricity. Estimates range from 2% to 5% of global energy usage.
- Renewable energy – Cloud providers increasingly use renewable energy sources like wind and solar, signing long-term contracts. But there is room for improvement.
- Hardware production – Servers must be replaced every few years, producing large amounts of e-waste. Proper recycling of older hardware is essential.
- Hardware waste – Used servers and components removed during upgrades create large amounts of e-waste if not disposed of responsibly.
- Optimisation – Cloud users can help by right-sizing resources, optimising workloads, and avoiding over-provisioning to improve efficiency and reduce waste.
- Monitoring – Continued monitoring of sustainability efforts by both cloud providers and business users is important to minimise environmental footprints.
- Creative solutions – To reduce environmental impacts, providers and users must implement creative sustainability solutions related to energy, hardware, and usage optimisation.
- Efficiency benefits – When used strategically, the cloud offers huge efficiency benefits over on-prem infrastructure and computing. But environmental impacts need to be consciously addressed.
19. How does encryption work in cloud computing?
Encryption is a really important part of keeping data secure in the cloud. The basic idea is it scrambles everything using complex math formulas so only authorized folks with a secret key can unscramble it back into usable data again.
When your data gets encrypted, it becomes a coded form called ciphertext. You need the right decryption key or password to decrypt it back to regular plaintext.
The big cloud providers like AWS and Azure encrypt data by default as it goes into the cloud and stored there. Data traveling to the cloud gets encrypted using HTTPS. Data sitting in cloud storage gets encrypted at rest on the servers.
You can even encrypt stuff yourself before uploading it to have total control. That way the cloud provider only ever stores ciphertext they can’t actually read without your keys.
Those encryption keys must be kept super secure since they unlock all the data. Cloud platforms provide key management tools to help with that process.
20. What is a Content Delivery Network (CDN)?
A CDN, or Content Delivery Network, is a network of servers that helps deliver content fast. The servers are spread out in data centers across different geographic locations.
When someone requests your website, video, app, etc., the CDN routes the request to the server closest to that person. This makes the content load super quick since it doesn’t have to travel as far.
CDNs also cache, or store, content temporarily on their servers. So if someone else nearby requests the same content shortly after, the CDN serves it directly from the cached copy. That avoids having to fetch it again from the original source server.
Big cloud providers like AWS and Azure have their own Content Delivery Networks. Sites and apps can use these CDNs to make their content blazing fast for users worldwide.
CDNs help deal with huge spikes in traffic too. They can balance loads across many servers and keep content speedy even for huge hits.
21. How do you manage resource provisioning in the cloud?
- Understand application resource requirements – Study usage metrics like traffic, storage, and computing needs to properly size resources. Do projections for new launches or usage spikes.
- Use auto-scaling tools – Cloud providers have auto-scaling capabilities that can automatically spin up resources based on triggers and rules. This dynamically provisions capacity as needed.
- Monitor usage in real-time – Use live dashboards and monitoring tools to track resource utilisation. Watch for over or under provisioning and adjust accordingly.
- Analyse usage over time – Look at usage trends, seasonal peaks, and growth to forecast capacity needs and optimise provisioning.
- Right-size resources – Deallocate resources that are consistently underutilised to avoid overspending. But make sure to maintain performance.
- Plan maintenance windows – Schedule infrastructure maintenance and shutdowns during periods of low traffic to maximise savings.
- Involve stakeholders – Get business teams involved to understand budget and business requirements. Plan capacity collaboratively.
22. What is the role of a cloud architect?
A cloud architect is the person who designs and plans out cloud environments for companies. They’re like the blueprints expert for building in the cloud.
Cloud architects start by understanding a client’s business goals and requirements for applications or infrastructure. From there, they design optimal cloud solutions to meet those needs.
This involves making recommendations on the right cloud services, infrastructure design, storage, networking, and integration with existing systems. For example, advising which compute and database services to use on AWS.
Architects also focus on security, scalability and efficiency in their designs. They aim to build solutions that are cost-effective and flexible for future needs.
During implementation, an architect oversees translating plans into reality. They work closely with engineering teams to make sure rollout and migration goes smoothly.
Cloud Computing- Top Advantages
Besides understanding what the top interview questions on cloud computing, and cloud computing interview questions for freshers are, take a look at the top advantages of cloud computing. These are often a part of your cloud basics interview questions, so prepare well!
- Money Saving: When on Cloud, you can easily access all company data. This helps save time as well as money as you start on new projects. Cloud-computing-related services mostly follow a pay-as-you-go format to utilize the resources as per requirements.
- Security: A cloud’s host primarily monitors security, extending a similar way to manage, utilize and store data but making it even better and more efficient compared to traditional in-house systems. According to a RapidScale study, close to 94 percent of businesses felt that security had gotten better after shifting to Cloud systems.
- Mobility: The cloud computing concept enables mobile access to all corporate data using smartphones and linked devices.
- Efficiency: Cloud computing allows organizations and individuals to utilize shared resources, resulting in increased cost savings, speed, agility, and efficiency. Cloud providers leverage vast economies of scale and optimize usage across thousands of customers.
- Scalability: Cloud resources can be provisioned and de-provisioned dynamically and on-demand to meet changing business requirements. This elasticity eliminates the need for capacity planning and avoids both under-provisioning and over-provisioning
- Resiliency: Leading cloud platforms enable high availability through redundancy and disaster recovery protections for always-on applications with minimal downtime risk. Sophisticated data backup, failover clustering and geo-distribution prevent service disruptions
- Productivity: Self-service automation, developer friendliness and API connectivity boost developer and operator productivity by abstracting operational complexities behind simplistic interfaces. More focus stays on core products
- Compliance: Major cloud platforms readily comply with regulations around security, data sovereignty, industry standards, and country-specific legislation to ease adoption barriers, especially in heavily regulated industries like healthcare and banking.
- Flexibility: Cloud offers heightened flexibility for businesses over traditional hosting over local servers. Enhanced bandwidth also becomes an immediate possibility that doesn’t need costly or complicated IT upgrades.
Data backup and restoration: Once the data is in the Cloud, it is much easier to back it up and restore it using the Cloud.
- Collaboration: Cloud applications improve collaboration by enabling groups of people to easily and quickly share information in the Cloud via shared storage.
- Cost: Cloud computing saves businesses money on both hardware and software maintenance.
- Storage space: The cloud provides an enormous amount of storage capacity for storing our important data, such as documents, images, audio, video, and so on, in one location.
- The vast number of jobs: There are a lot of jobs available related to cloud computing in India. On Naukri, as of date 17/06/2022, there are 112300+ jobs available.
- Sustainability– Cloud infrastructures enable companies to cut down on carbon footprint, paper waste, and commuter-related emissions and enhance energy efficiency simultaneously.
- Competitive Edge– Implementing cloud-based solutions in businesses helps users stay one step ahead of their competitors in this highly competitive market. According to a study conducted by Verizon, 77% of the users of this technology have claimed that it has given them a competitive advantage over their competitors.
Conclusion
Having a grasp on cloud basic interview questions can greatly influence your chances of getting your dream job, hence make sure you read through all the cloud computing basic interview questions and answers. We hope this cloud computing interview questions and answers guide will help you strengthen and expand your cloud computing knowledge base.
Surely, cloud engineers have a bright future ahead. With years passing by, the demand for cloud engineers is only going to increase. So, brush up your knowledge of the cloud, practice cloud basic interview questions and take up our course in cloud computing to add certification to your profile!
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