Business Continuity and Disaster Recovery in Cloud Computing In many organizations, the primary role of the IT staff is to ensure 99.999% availability of computing resource applications, power, files, networks, and phone systems to name a few.In this assignment, imagine that you have been hired by the midsized, multinational, BIG-CLOUD company to create and graphically depict a cloud based business continuity plan (BCP) and disaster recovery plan (DRP). Your solution must include details on how the cloud solution of your choice will address three (3) or more high fault items such as user disk failure, server disk failure, network failure, database failure, phone system failure, server power failure, desktop power failure, fire, flood, and malware. (Use the template in Chapter 10 of the text as a reference for the BCP and DRP plan.) Fictitious assumptions and details may be assumed or created for the completion of this assignment.Write a five to eight (5-8) page paper in which you:Provide a brief background on the company that has hired you and describe its backup and recovery challenges.Describe the threats to its IT data center infrastructure.Create a BCP plan for the high fault items that are being addressed.Create a DRP plan for the high fault items that are being addressed.Create a section in your BCP that addresses the mitigation strategy of your cloud solution in regard to the high fault items listed in the scenario.Create a section in your DRP that addresses the mitigation strategy of your cloud solution in regard to the high fault items listed in the scenario.Discuss the amount of control your organization wants to retain over its data, in relation to moving information to a third party, and data leaving the country or region boundaries. Assume both situations are such that allows for a cloud-based backup solution.Evaluate the pros and cons of your cloud-based backup solution with regards to your organization’s requirements (i.e., flexibilities you gain versus absolute control you lose). Determine whether the pros outweigh the cons.Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.Your assignment must follow these formatting requirements:Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.

400 words on the attached exercise with in-text citations.Attached is the screenshot of the exercise.

1.Discuss the importance of preprocessing the datasets to ensure better data quality for data mining techniques. Give an example from your own personal experience. 2.Discuss the advantages and disadvantages of using sampling to reduce the number of data objects that need to be displayed. Would simple random sampling (without replacement) be a good approach to sampling? Why or why not? 3.Discuss the major issues in classification model overfitting. Give some examples to illustrate your points. 4.Compare different Ensemble methods with appropriate examples. 5.Discuss the strengths and weaknesses of using K-Means clustering algorithm to cluster multi class data sets. How do you compare it with a hierarchical clustering technique. 6.Compare and contrast the different techniques for anomaly detection. Discuss techniques for combining multiple anomaly detection techniques to improve the identification of anomalous objects.