Which of the following is not a challenge of Cloud Computing.

Which of the following is not a challenge of Cloud Computing:

1.

Security

2.

Governance

3.

Virtualisation

4.

Privacy

The answer is Option 3

Virtualisation


In the cloud, Computing Virtualisation is not a challenge.

Virtualization deploys software that makes an abstraction layer across computer hardware, letting the hardware components such as processors, memory, storage, etc of a particular computer be segmented into several virtual elements and also call it as virtual machines.

Security, Privacy, and Governance are the biggest challenge in cloud computing.

Security:

As security is the main concern as the information or data which we used to store in the cloud is very important to us to make this secured we spend more money to make it more secured over the cloud servers where it's prevented from 3rd party sources and also from hacking.

Governance:

Another ethical issue in cloud computing is maintaining proper control over asset management and maintenance. There should be a dedicated team to ensure that the assets used to implement cloud services are used according to agreed policies and dedicated procedures. There should be proper maintenance and that the assets are used to meet your organization’s goals successfully.

Privacy:

It works similar to security as challenges can be reduced by using security applications, encrypted file systems, data loss software. the main concern is the information and data which we used to store in the cloud is very important to us to make this secured we spend more money to make it more secured over the cloud servers where it's prevented from 3rd party sources and also from hacking and makes our privacy secured.


Comments

Popular posts from this blog

What do “Feasibility” and “Desirability” mean in the context of software design. Specify one question for each that leads to a design type.The main goal of a software design thinking work process is to create a solution that is desirable, feasible, and viable. This means our solution should not only provides a solution but also needs to implement easily and have a proper commercial model. Desirability is at the forefront as it is mainly concerned with our ideas and validating things about taking users in mind and also to do testing again and again. A test for desirability focuses on whether your solution is a nice to have or a must-have for your customer. Ask yourself, what task am I helping my customer complete? What does successful completion of that task look like for them? Looking at what they are trying to do and why it is important to them puts yourself in their shoes, lets you look at your solution from their eyes. If you are solving the key pain points they encounter when trying to complete this task, your solution has met the test for desirability. If not, and there are other pain points that you haven’t addressed, then pivoting your solution might put you on a better path. Feasibility in software design is a validation process that looks at how design delivers to requirements, objectives, and goals. The common Software design feasibility is: Technical Financial Usability Risk Experience Quality Feasibility is a way to evaluate the desirability of a project or a design. Any company before any project invests their time and money in any project they want to know how successful the project will be before investing. As the company wants to know how much amount of research is needed to be done and also to know the market value of a project.

Provide me a full Naive Bayes algorithm Python code for sentiment analysis(NLP).(please explain how to process natural Language into negative, positive and neutral) kindly explain step by step as I am a beginner.