Big Data Processing and Analysis: Effectively managing, processing, and analyzing vast amounts of data (big data) in real-time remains a challenge. Developing algorithms and frameworks that can handle large-scale data efficiently and extract meaningful insights is an ongoing pursuit.

is inefficient processing caused by constant page swapping. a. Threading b. Thrashing c. Demand paging d. Partitioning

• As a consultant with AppleCybersecurity, you have been hired to develop a user access request process for a client organization that does not have a process today. You have been asked to develop:
  • A user access request form (include for new user accounts, change in position (new job assignment), change in status (medical leave), and termination
    • Form should include inventory of all assets (laptop, cell phone, etc) as well as a way to verify recovery upon termination
  • A procedure for routing the request to appropriate approvers
  • A procedure for user account administrators to follow when they receive an approved access request
  • A method for saving requests, approvals, and provisioning records

Note: Describe scenarios that would require "exception processing" in this process. Describe how a larger organization might need to modify this process. Discuss how auditors would audit this process and potential issues.

A company processes data subject to NDAs with partners that define the processing and storage constraints for the covered data. The agreements currently do not permit moving the covered data to the cloud, and the company would like to renegotiate the terms of the agreements.

Which of the following would MOST likely help the company gain consensus to move the data to the cloud?

1. Designing data protection schemes to mitigate the risk of loss due to multitenancy
2. Implementing redundant stores and services across diverse CSPs for high availability
3. Emulating OS and hardware architectures to blur operations from CSP view
4. Purchasing managed FIM services to alert on detected modifications to covered data