Cloud Interview Questions and Answers
Question - 41 : - What is an API Gateway?
Answer - 41 : -
An API gateway allows multiple APIs to act together as a single gateway to provide a uniform experience to the user. In this, each API call is processed reliably. The API gateway manages the APIs centrally and provides enterprise-grade security. Common tasks of the API services can be handled by the API gateway. These tasks include services like statistics, rate limiting, and user authentication.
Question - 42 : - What is meant by Edge Computing?
Answer - 42 : -
Edge and cloud are complementary. These are both parts of a broader concept called the distributed cloud. A majority of those pursuing edge computing strategies are now viewing edge as part of their overall cloud strategy.
Edge computing, unlike cloud computing, is all about the physical location and issues related to latency. Cloud and edge combine the strengths of a centralized system, along with the advantages of distributed operations at the physical location where things and people connect. In IoT scenarios, the edge is very common. Cloud is different from the edge, in that it has never been about location. As opposed, it has always been about the independence of location.
The popular scenarios are where you have cloud and edge together, and the cloud provider controls to run and defines the architecture for what is out at the edge.
Question - 43 : - How does the Cloud Native Computing Foundation define cloud-native applications?
Answer - 43 : -
The Cloud Native Computing Foundation gives a clear definition of cloud-native:
- Container packaged: This means a standard way to package applications that is resource-efficient. By using a standard container format, more applications can be densely packed.
- Dynamically managed: This means a standard way to discover, deploy, and scale up and down containerized applications.
- Microservices oriented: This means a method to decompose the application into modular, independent services that interact through well-defined service contracts.
Question - 44 : - What are the different Datacenters deployed for Cloud Computing?
Answer - 44 : -
Cloud computing is made up of various data centers put together in a grid form. It consists of the data centers like:
- Containerized Data Centers
- Low-Density Data Centers
Question - 45 : - What are Containerized Data Centers?
Answer - 45 : -
Containerized Data Centers are the traditional data centers that allow a high level of customization with servers, mainframes, and other resources. These require planning, cooling, networking, and power to access and work.
Question - 46 : - What are Low-Density Data Centers?
Answer - 46 : -
Low-Density Data Centers are optimized to give high performance. The space constraint is being removed and there is an increased density in these data centers. One drawback it has is that with high density the heat issue also creeps in. These data centers are quite suitable to develop the cloud infrastructure.
Question - 47 : - What are some issues with Cloud Computing?
Answer - 47 : -
Following are some of the issues of cloud computing:
- Security Issues: As it would be in any other computing paradigms, security is as much of a concern as Cloud computing. Cloud Computing is vaguely defined as the outsourcing of services, which in turn causes users to lose significant control over their data. With the public Cloud, there is also a risk of seizure associated.
- Legal and Compliance Issues: Sometimes, clouds are bounded by geographical boundaries. The provision of different services is not location-dependent. Because of this flexibility Clouds face Legal & Compliance issues. Though these issues affect the end-users, they are related mainly to the vendors.
- Performance and Quality of Service (QoS) Related Issues: Paradigm performance is of utmost importance for any computing. The Quality of Service (QoS) varies as the user requirements may vary. One of the critical Quality of Service-related issues is the optimized way in which commercial success can be achieved using Cloud computing. If a provider is unable to deliver the promised QoS it may tarnish its reputation. One faces the issue of Memory and Licensing constraints which directly hamper the performance of a system, as Software-as-a-Service (SaaS) deals with the provision of software on virtualized resources,
- Data Management Issues: An important use case of Cloud Computing is to put almost the entire data on the Cloud with minimum infrastructure requirements for the end-users. The main problems related to data management are scalability of data, storage of data, data migration from one cloud to another, and also different architectures for resource access. It is of utmost importance to manage these data effectively, as data in Cloud computing also includes highly confidential information.
Question - 48 : - Mention About The Top Cloud Applications Nowadays?
Answer - 48 : -
Top cloud computing applications include Google docs which are very fast and secure. There is also a mobile version of google docs to access your data from a smartphone. Pixlr and Phoenix, jaycut also are the applications used for cloud computing.
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Question - 49 : - What is a hypervisor in Cloud Computing?
Answer - 49 : -
It is a virtual machine screen that can logically manage resources for virtual machines. It allocates, partitions, isolates, or changes the program given as a virtualization hypervisor. Hardware hypervisor allows having multiple guest Operating Systems running on a single host system simultaneously.
It is also known as Virtual Machine Manager. There are two types of hypervisors as defined below:
Type 1: The guest Vm runs directly over the host hardware, e.g., Citrix XenServer and VMware ESXi.
Type 2: The guest Vm runs over hardware through a host OS, e.g., oracle virtual box, Vmware Player.
Type 1 Hypervisor works much better than Type 2 because there is no underlying middleware and thus making the best environment for critical applications and workloads. To compare the performance metrics, we need to determine the CPU overhead, amount of maximum host and guest memory, and support for virtual processors.
Question - 50 : - Why is cloud computing the future?
Answer - 50 : -
Considering the various benefits of cloud computing to organizations, a good case is that cloud computing is increasingly becoming the new normal. Cloud computing helps society deal with future problems like managing big data, cyber-security, and internal control.
In addition to the present, emerging technologies like AI, distributed ledger technology, and lots of other capabilities are getting available as services through cloud computing. Consequently, these technologies adapt to varied platforms like mobile devices, increasing their use.
Innovations supported cloud computing like cloud automation. Therefore, the Industry cloud is also being developed to integrate cloud computing into specific industrial activities, making various operations even more streamlined. The verdict for cloud computing is that it’s a transitional technology that has helped organizations in several jurisdictions deliver their products and services better than before.