The CfCT solution is designed for the exact purpose stated in the question. It extends the capabilities of AWS Control Tower by providing you with a way to automate resource provisioning and apply custom configurations across all AWS accounts created in the Control Tower environment. This enables the company to implement additional account customizations when new accounts are provisioned via the Control Tower Account Factory. The CloudFormation templates and SCPs can be added to a CodeCommit repository and will be automatically deployed to new accounts when they are created. This provides a highly automated solution that does not require manual intervention to deploy resources and SCPs to new accounts.

Activate Amazon Macie on the Production S3 Bucket:
Macie can identify and protect sensitive data such as PII.
Create a Step Functions state machine to automate data discovery and redaction before copying it to the development environment.
Example Step Functions state machine:
{
"Comment": "Anonymize PII and copy data",
"StartAt": "MacieDiscoveryJob",
"States": {
"MacieDiscoveryJob": {
"Type": "Task",
"Resource": "arn:aws:states:::macie:startClassificationJob",
"End": true
}
}
}
Create a Development Environment from CloudFormation Template:
Deploy the development environment in a new account using the existing CloudFormation template.
Schedule an EventBridge rule to start the Step Functions state machine on a weekly basis.
EventBridge rule example:
{
"ScheduleExpression": "rate(7 days)",
"StateMachineArn": "arn:aws:states:<region>:<account-id>:stateMachine:AnonymizeAndCopyData"
}
By using Macie for data anonymization and Step Functions for automation, you ensure PII is properly handled before data transfer between environments.
Reference:
Amazon Macie
AWS Step Functions
AWS CloudFormation Templates

Activate AWS Control Tower Guardrail:
Use AWS Control Tower to activate a detective guardrail that checks whether RDS storage is encrypted.
Create SNS Topic for Notifications:
Set up an Amazon Simple Notification Service (SNS) topic in the audit account to receive notifications about non-compliant databases.
Create EventBridge Rule to Filter Non-compliant Events:
Create an Amazon EventBridge rule that filters events related to the guardrail's findings on non-compliant RDS instances.
Configure the rule to send notifications to the SNS topic when non-compliant events are detected.
Subscribe Security Engineer's Email to SNS Topic:
Subscribe the security engineer's email address to the SNS topic to receive notifications when non-compliant databases are detected.
By using AWS Control Tower to activate a detective guardrail and setting up SNS notifications for non-compliant events, the company can efficiently monitor and ensure that all RDS databases are encrypted at rest.
Reference:
AWS Control Tower Guardrails
Amazon SNS
Amazon EventBridge

To implement a more reliable deployment solution, a DevOps engineer should take the following actions:
Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Configure pipeline stages that run the CodeBuild project in parallel to build and test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action. This action will improve the deployment reliability by automating the entire process from code commit to deployment, reducing human errors and inconsistencies. By running the build and test stages in parallel, the pipeline can also speed up the delivery time and provide faster feedback. By using CodeDeploy as the deployment action, the pipeline can leverage the features of CodeDeploy, such as traffic shifting, health checks, rollback, and deployment configuration123 Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group. This action will improve the deployment reliability by using CodeDeploy to orchestrate the deployment across multiple EC2 instances behind an ALB. CodeDeploy can perform blue/green deployments or in-place deployments with traffic shifting, which can minimize downtime and reduce risks. CodeDeploy can also monitor the health of the instances during and after the deployment, and automatically roll back if any issues are detected. By configuring the ALB for the deployment group, CodeDeploy can register and deregister instances from the load balancer as needed, ensuring that only healthy instances receive traffic45 The other options are not correct because they do not improve the deployment reliability or follow best practices. Creating separate pipeline stages that run a CodeBuild project to build and then test the application is not a good option because it will increase the pipeline execution time and delay the feedback loop. Creating individual Lambda functions that use CodeDeploy instead of Systems Manager to run build, test, and deploy actions is not a valid option because it will add unnecessary complexity and cost to the solution. Lambda functions are not designed for long-running tasks such as building or deploying applications. Creating an Amazon S3 bucket and modifying the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact is not a necessary option because it will not affect the deployment reliability. CodeArtifact is a secure, scalable, and cost-effective package management service that can store and share software packages for application development67 References:
1: What is AWS CodePipeline? - AWS CodePipeline
2: Create a pipeline in AWS CodePipeline - AWS CodePipeline
3: Deploy an application with AWS CodeDeploy - AWS CodePipeline
4: What is AWS CodeDeploy? - AWS CodeDeploy
5: Configure an Application Load Balancer for your blue/green deployments - AWS CodeDeploy
6: What is AWS Lambda? - AWS Lambda
7: What is AWS CodeArtifact? - AWS CodeArtifact

https://aws.amazon.com/caching/session-management/