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Question 449

A company that has multiple business units is using AWS Organizations with all features enabled. The company has implemented an account structure in which each business unit has its own AWS account. Administrators in each AWS account need to view detailed cost and utilization data for their account by using Amazon Athena.

Each business unit can have access to only its own cost and utilization data. The IAM policies that govern the ability to set up AWS Cost and Usage Reports are in place. A central Cost and Usage Report that contains all data for the organization is already available in an Amazon S3 bucket.

Which solution will meet these requirements with the LEAST operational complexity?

    Correct Answer: D

    The solution that meets the requirements with the least operational complexity is to have each member account create a new S3 bucket to store the Cost and Usage Report data. Setting up a separate Cost and Usage Report to deliver data to new S3 buckets in each account allows each business unit to have isolated access to only their data, without complex setups involving Lambda functions or cross-account sharing mechanisms. This simplifies the process by enabling independent management of Cost and Usage Reports within each account.

Discussion
trap

Correct: D The option talks about LEAST operational complexity not LEAST operational overhead. Option B is quite complex

red_pandaOption: D

Why B? The question talk about LEAST operations. D for me

DgixOption: B

LEAST operational complexity, considering the report already is available in the bucket: B. After the initial setup, the process is fully automatic, which means the operational complexity involving separate actions by account managers isn't needed.

tqphuong

Answer: Option D First Reason: The Cost and Usage Report (CUR) cannot be set up for cross-account delivery. According to the AWS documentation, “The account that creates the Cost and Usage Report must also own the Amazon S3 bucket that AWS sends the reports to.” This means each account must set up its own S3 bucket to receive its respective CUR. https://docs.aws.amazon.com/cur/latest/userguide/cur-consolidated-billing.html Second Reason: The question asks for the solution with the least operational complexity. Option D simplifies the process by allowing each account to independently manage its own CUR setup without requiring complex configurations or custom Lambda functions.

trungtdOption: A

After some investigation, I found A could be a suitable choice, however it lacks a few details By using AWS RAM, you can share the S3 bucket (or specific prefixes within the bucket) containing the Cost and Usage Report with the member accounts. Each member account can set up Athena queries to access and analyze their own cost and utilization data from the shared S3 bucket. This approach ensures that each business unit can view its own data without accessing other units' data. B: too complicated C: Cost Explorer doesn't provide the raw cost and usage data that might be needed for detailed analysis with Athena. D: multiple Cost and Usage Reports, one for each account => out

trungtdOption: B

The question asks for LEAST operational complexity But it seems that only the most complex option can solve the problem

pangchn

B I don't like this type of question that shows the current AWS limit which need to use sneaky way, like lambda, to automate the process. This should be a potential new feature that AWS should improve in future since the billing and report is such a common scenrio as in the question.

VerRiOption: B

The most straightforward option

CMMCOption: B

With the Lambda to extract and separate each member account's cost and utilization data from the central Cost and Usage Report stored in the S3 bucket and S3 events to trigger the Lambda function, the process is automated and requires minimal ongoing management. Each member account can be given access only to its own prefix within the S3 bucket, ensuring that each business unit can only access its own cost data. Other options involve higher operational complexity and overhead.