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#1. Reusable solutions to particular problems. In security, an example is IaaS log management.
#2. Cloud Data Access Controls include all but the following.
#3. Forces executives to oversee all accounting practices, it also holds them accountable for fraudulent/deceptive activity.
#4. Keys are maintained and controlled by the customer at their own location. This offers the highest degree of security for the customer.
#5. The primary security responsibilities of the cloud provider in compute virtualization are to enforce isolation and maintain a secure virtualization infrastructure. True or False.
#6. The vendor will be responsible for patching, administering, and updating the OS.
#7. What is the fourth stage of the data life cycle?
#8. Establishes a framework to enable networks and information systems to resist, at a given level of confidence, actions that compromise the availability, authenticity, integrity, or confidentiality of stored data.
#9. The applications deployed in the cloud and the underlying application services used to build them.
#10. The Cloud Security Alliance provides two tools for cloud security concepts and principles. (Choose Two)
Select all that apply:
#11. Acts as the glue that binds the technologies together and enables management and configuration remotely of a customer’s cloud environment.
#12. Removing the telltale nonspecific identifiers is called? (Data must be marked as sensitive when it is created)
#13. The cloud infrastructure is shared by several organizations and supports a specific community that has shared concerns. It may be managed by the organizations or by a third party and may be located on-premises or off-premises.
#14. Used for an inspection of the operating effectiveness of the controls.
#15. Categorized and detail specific cloud security controls or categories of controls, such as the CSA CCM
#16. The amount of data a company would need to maintain and recover in order to function at a level acceptable to management.
#17. Multitenant environments; multiple customers will share the underlying resources that are owned and operated by the provider.
#18. The key difference between cloud and traditional computing is the metastructure. True or False.
#19. Full application that’s managed and hosted by the provider. Consumers access it with a web browser, mobile app, or a lightweight client app.
#20. Responsible for peering with other cloud services and providers, as well as overseeing and managing federations and federated services.
#21. Transparent Database Encryption (TDE) is used in which of the Cloud Service Models.
#22. Which of the following is not a method of enforcing Lifecycle Management Security?
#23. A guidance document with the primary goal of ensuring that appropriate security requirements and controls are applied to all US federal government information in information management systems
#24. The five main phases in secure application design and development include the following except.
#25. The cloud infrastructure is operated solely for a single organization. It may be managed by the organization or by a third party and may be located on-premises or off premises.
#26. Experiences Data lock-in, in the same way as in SaaS, but in this case the onus is completely on the customer to create compatible export routines.
#27. A set of resources (racks, blades, software packages) owned by the single customer but located and maintained at the cloud provider’s data center is a part of?
#28. Which of the following is NOT a Cloud security model?
#29. Outsourcing Key Management Keys should be stored with the data they’re protecting. True or False
#30. Which of the four methods is not a potential options for handling key management?
#31. What is the second stage of the data life cycle?
#32. DLP implementation in the cloud comes with related difficulties and costs, True or False?
#33. What are the six stages of the Data Life Cycle?
#34. Involves managing, controlling and securing content from unwanted access.
#35. Cryptographic erasure (cryptoshredding) should be used during this phase of the data life cycle.
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