An organization wants to deploy a three-tier web application whereby the application servers run on Amazon EC2 instances. These EC2 instances need access to credentials that they will use to authenticate their SQL connections to an Amazon RDS DB instance. Also, AWS Lambda functions must issue queries to the RDS database by using the same database credentials.
The credentials must be stored so that the EC2 instances and the Lambda functions can access them. No other access is allowed. The access logs must record when the credentials were accessed and by whom.
What should the Security Engineer do to meet these requirements?
A . Store the database credentials in AWS Key Management Service (AWS KMS). Create an IAM role with access to AWS KMS by using the EC2 and Lambda service principals in the role’s trust policy. Add the role to an EC2 instance profile. Attach the instance profile to the EC2 instances. Set up Lambda to use the new role for execution.
B . Store the database credentials in AWS KM
C . Create an IAM role with access to KMS by using the EC2 and Lambda service principals in the role’s trust policy. Add the role to an EC2 instance profile. Attach the instance profile to the EC2 instances and the Lambda function.
D . Store the database credentials in AWS Secrets Manager. Create an IAM role with access to Secrets Manager by using the EC2 and Lambda service principals in the role’s trust policy. Add the role to an EC2 instance profile. Attach the instance profile to the EC2 instances and the Lambda function.
E . Store the database credentials in AWS Secrets Manager. Create an IAM role with access to Secrets Manager by using the EC2 and Lambda service principals in the role’s trust policy. Add the role to an EC2 instance profile. Attach the instance profile to the EC2 instances. Set up Lambda to use the new role for execution.
Answer: D
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