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NEW QUESTION: 1
A company wants to migrate a workload to AWS.
The chief information security officer requires that all data be encrypted at rest when stored in the cloud.
The company wants complete control of encryption key lifecycle management.
The company must be able to immediately remove the key material and audit key usage independently of AWS CloudTrail.
The chosen services should integrate with other storage services that will be used on AWS.
Which services satisfies these security requirements?
A. AWS CloudHSM with the CloudHSM client
B. AWS Key Management Service (AWS KMS) with AWS managed customer master keys (CMKs)
C. AWS Key Management Service (AWS KMS) with an external key material origin
D. AWS Key Management Service (AWS KMS) with AWS CloudHSM
Answer: D
Explanation:
Took a bit of reading. Key points in question:
"The company must be able to immediately remove the key material and audit key usage independently"
"The chosen services should integrate with other storage services that will be used on AWS" Point 1: Q: Can I use CloudHSM to store keys or encrypt data used by other AWS services?
Ans: Yes. You can do all encryption in your CloudHSM-integrated application. In this case, AWS services such as Amazon S3 or Amazon Elastic Block Store (EBS) would only see your data encrypted.
Point 2: AWS manages the hardware security module (HSM) appliance, but does not have access to your keys. You control and manage your own keys Ref: https://aws.amazon.com/cloudhsm/features/ Ref: https://aws.amazon.com/cloudhsm/faqs/
NEW QUESTION: 2
You have been asked to de-risk deployments at your company. Specifically, the CEO is concerned about outages that occur because of accidental inconsistencies between Staging and Production, which sometimes cause unexpected behaviors in Production even when Staging tests pass. You already use Docker to get high consistency between Staging and Production for the application environment on your EC2 instances. How do you further de-risk the rest of the execution environment, since in AWS, there are many service components you may use beyond EC2 virtual machines?
A. Use AWS Config to force the Staging and Production stacks to have configuration parity. Any differences will be detected for you so you are aware of risks.
B. Use AWS ECS and Docker clustering. This will make sure that the AMIs and machine sizes are the same across both environments.
C. Develop models of your entire cloud system in CloudFormation. Use this model in Staging and Production to achieve greater parity. */
D. Use AMIs to ensure the whole machine, including the kernel of the virual machines, is consistent, since Docker uses Linux Container (LXC) technology, and we need to make sure the container environment is consistent.
Answer: C
Explanation:
Explanation
After you have your stacks and resources set up, you can reuse your templates to replicate your infrastructure in multiple environments. For example, you can create environments for development, testing, and production so that you can test changes before implementing them into production. To make templates reusable, use the parameters, mappings, and conditions sections so that you can customize your stacks when you create them. For example, for your development environments, you can specify a lower-cost instance type compared to your production environment, but all other configurations and settings remain the same For more information on Cloudformation best practices please refer to the below link:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html
NEW QUESTION: 3
Conducting an inspection of source code is:
A. Quality Assurance
B. Compilation
C. None of the above
D. Quality Control
Answer: D