Amazon Web Services DOP-C02 Exam With Confidence Using Practice Dumps

This is a classic AWS Organizations governance design:

Restrict Regions and allowed services across all accounts

The correct Organizations mechanism for account-wide guardrails is a Service Control Policy (SCP) .

SCPs set the maximum permissions that accounts/OUs can use, making them the right tool to enforce “only these Regions” and “only these services” consistently across the org.

Authentication from Active Directory + consistent job-function roles in every account

With AD as the identity source, the standard approach is federation to AWS using an IAM identity provider (SAML) and role assumption based on job function.

AWS CloudFormation StackSets is the operationally efficient way to deploy identical IAM roles/policies into multiple accounts/OUs so job-function permissions are consistent everywhere.

The roles’ trust policies can be configured to allow federated identities (from the AD-backed IdP) to assume the correct job role in each account.

Why the other options don’t fit:

A “OU with group policies” isn’t an AWS Organizations control mechanism for restricting Regions/services. The AWS-native control for this is SCPs , not “group policies.”

B Permissions boundaries are useful to limit what an IAM principal/role can do within an account , but they are not the org-wide enforcement mechanism for “all accounts must stay in these Regions / use only these services.” That’s what SCPs do.

C AWS RAM is for sharing resources (like subnets, Transit Gateway, etc.), not for “sharing roles” across accounts as a governance baseline. Also, the question emphasizes identical permissions in each account, which is best achieved by provisioning roles in each account (StackSets), not attempting to “share” roles.

When deploying to a private Amazon EKS cluster, the Kubernetes API server endpoint is not accessible from the public internet, meaning standard CodePipeline deploy actions that use public endpoints cannot directly connect to the cluster. The correct approach is to use AWS CodeBuild running inside a VPC that has connectivity to the private EKS cluster. CodeBuild runs kubectl commands to apply Kubernetes manifests or Helm charts to update the application. Authentication credentials, specifically a kubeconfig file containing the cluster endpoint, certificate authority data, and an authentication token or exec plugin configuration, should be stored securely in AWS Secrets Manager and retrieved by the CodeBuild build environment at runtime. This approach provides secure, auditable, and repeatable deployments without exposing the EKS API server publicly. Options B and D incorrectly assume CodePipeline has a native action that can reach private EKS endpoints directly.

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" AWS CodeArtifact operates in multiple Availability Zones and stores artifact data and metadata in Amazon S3 and Amazon DynamoDB. Your encrypted data is redundantly stored across multiple facilities and multiple devices in each facility, making it highly available and highly durable. " With no internet connectivity, a gateway endpoint becomes necessary to access S3.