A company uses Amazon Redshift as its data warehouse solution. The company wants to create a dashboard to view changes to the Redshift users and the queries the users perform.
Which combination of steps will meet this requirement? (Choose two.)
A.
Create an Amazon CloudWatch log group. Create an AWS CloudTrail trail that writes to the CloudWatch log group.
B.
Create a new Amazon S3 bucket. Configure default audit logging on the Redshift cluster. Configure the S3 bucket as the target.
C.
Configure the Redshift cluster database audit logging to include user activity logs. Configure Amazon CloudWatch as the target.
D.
Create an Amazon CloudWatch dashboard that has a log widget. Configure the widget to display user details from the Redshift logs.
E.
Create an AWS Lambda function that uses Amazon Athena to query the Redshift logs. Create an Amazon CloudWatch dashboard that has a custom widget type that uses the Lambda function.
B. Create a new Amazon S3 bucket. Configure default audit logging on the Redshift cluster. Configure the S3 bucket as the target.
E. Create an AWS Lambda function that uses Amazon Athena to query the Redshift logs. Create an Amazon CloudWatch dashboard that has a custom widget type that uses the Lambda function.
Explanation:
To create a dashboard for viewing changes to Amazon Redshift users and the queries they perform, you need to capture the necessary audit logs and process them into a dashboard-friendly format.
You need to use CloudWatch for dashboard, so the target must be CloudWatch. B is wrong.
CloudTrail does not record user queries. A is wrong.
Use Lambda to create your own solution is not recommended, E is wrong.
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