DOP-C02 Exam Dumps : AWS Certified DevOps Engineer - Professional

Verify No SCP Blocking Access:

Ensure that no Service Control Policy (SCP) is blocking access for developers to the S3 bucket. SCPs are applied at the organization or organizational unit (OU) level in AWS Organizations and can restrict what actions users and roles in the affected accounts can perform.

Verify No IAM Policy Permissions Boundaries Blocking Access:

IAM permissions boundaries can limit the maximum permissions that a user or role can have. Verify that these boundaries are not restricting access to the S3 bucket.

Make Necessary Changes to SCP and IAM Policy Permissions Boundaries:

Adjust the SCPs and IAM permissions boundaries if they are found to be the cause of the access issue. Make sure these changes are reflected in the code maintained in the AWS CodeCommit repository.

Invoke Deployment Through CloudFormation:

Commit the updated policies to the CodeCommit repository.

Use AWS CloudFormation to deploy the changes across the relevant accounts and resources to ensure that the updated permissions are applied consistently.

By ensuring no SCPs or IAM policy permissions boundaries are blocking access and making necessary changes if they are, the DevOps engineer can resolve the access issue for developers trying to access the S3 bucket.

The company’s requirements span preventive governance, account baseline configuration, and continuous compliance monitoring, all with minimal operational overhead. AWS-native, organization-level services are the most efficient way to meet these goals.

To ensure that new accounts do not retain default VPCs and that development is restricted to specific Regions, AWS Control Tower is the correct foundation. However, Control Tower alone does not remove default VPCs. By installing Customizations for AWS Control Tower (CfCT), the company can automatically deploy OU-scoped CloudFormation templates during account provisioning. A simple CloudFormation template can delete default VPCs in all Regions, while Control Tower-managed Region deny guardrails (SCPs) restrict access to only approved Regions. This approach is declarative, repeatable, and tightly integrated with account creation workflows, resulting in low operational overhead.

For CIS AWS Foundations Benchmark compliance monitoring, AWS Security Hub is the purpose-built service. Enabling Security Hub at the organization level and selecting the CIS benchmark automatically evaluates all member accounts against CIS controls and continuously reports findings. This provides centralized visibility and compliance reporting without custom rule development.

Option C introduces custom Lambda automation and EventBridge logic, increasing maintenance burden. Option E is incorrect because Control Tower does not provide full CIS benchmark monitoring; it only offers related detective guardrails.

Therefore, Option B (Control Tower + CfCT) and Option D (Security Hub with CIS benchmark) together provide the most efficient, scalable, and AWS-recommended solution.

The requirement is to prevent any product files containing unannounced product IDs (prefixed with a specific UUID) from being stored in the production S3 bucket that users can access.

To achieve this, a best practice is to use a staging bucket as a control point before files go to production, combined with Amazon Macie’s data classification capabilities.

Creating a custom data identifier in Amazon Macie allows precise detection of product IDs starting with the specific UUID, which default managed identifiers will not detect.

By running a Macie sensitive data discovery job on the staging bucket, you can identify files containing these sensitive product IDs.

Only files without findings (i.e., files that do not contain unannounced product IDs) are copied to the production bucket, ensuring no sensitive information is exposed.This approach aligns with AWS best practices for data classification and staged deployment workflows, maximizing control and reducing risk.Using Macie on the production bucket directly (options B and D) risks exposing sensitive data before detection and deletion. Option C uses managed data identifiers, which will likely not detect the custom UUID prefix pattern.

Reference from AWS Official Documentation and Study Guide:

Amazon Macie Custom Data Identifiers:"You can create custom data identifiers in Amazon Macie to find sensitive data that is unique to your organization."(Amazon Macie User Guide)

Data Security Best Practices:"Use staging environments to inspect and sanitize data before moving it to production to reduce exposure risks."(AWS Security Best Practices)