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

The requirement is specifically to validate critical user journeys and API endpoints after each deployment and before routing traffic . The most direct AWS-native way to test “real” user flows and endpoints automatically is CloudWatch Synthetics canaries , which can run scripted checks (HTTP/API and browser-style journeys).

Option D minimizes operational overhead because it uses a straightforward managed pattern:

Canaries run against the new deployment to validate endpoints and journeys.

CloudWatch alarms trigger when the canaries fail (objective signal of broken journeys/APIs).

The solution then uses alarm-driven rollback (the intent here is automated rollback without writing custom analysis code or managing multi-service workflows).

Why the other options have more overhead or miss the “user journey/API validation” goal as cleanly:

A focuses on ECS task states (healthy/unhealthy tasks). That can detect deployment failures, but it doesn’t validate critical user journeys or API correctness . Also requires custom Lambda logic for analysis + rollback control.

B adds even more moving parts (Application Insights + alarms + EventBridge + Step Functions). Also, monitoring KPIs is not the same as explicitly validating journeys/endpoints before routing traffic .

C is the highest overhead: canaries plus X-Ray instrumentation across all microservices, trace exporting, custom Lambda analysis, etc. That’s heavy compared to canary + alarm.

So D best matches: “validate journeys/endpoints” + “automated detect + rollback” with least operational overhead by relying on managed canaries and alarms rather than custom code/workflows.

The solution that meets the requirements is to use EC2 Image Builder to create a container image pipeline, use Amazon ECR as the target repository, turn on enhanced scanning on the ECR repository, create an Amazon EventBridge rule to capture an Inspector2 finding event, and use the event to invoke the image pipeline. Re-upload the container to the repository.

This solution will continuously monitor the container repository for vulnerabilities using enhanced scanning, which is a feature of Amazon ECR that provides detailed information and guidance on how to fix security issues found in your container images. Enhanced scanning uses Inspector2, a security assessment service that integrates with Amazon ECR and generates findings for any vulnerabilities detected in your images. You can use Amazon EventBridge to create a rule that triggers an action when an Inspector2 finding event occurs. The action can be to invoke an EC2 Image Builder pipeline, which is a service that automates the creation of container images. The pipeline can use the latest patches and updates to build a new container image and upload it to the same ECR repository, replacing the vulnerable image.

The other options are not correct because they do not meet all the requirements or use services that are not relevant for the scenario.

Option B is not correct because it uses Amazon GuardDuty Malware Protection, which is a feature of GuardDuty that detects malicious activity and unauthorized behavior on your AWS accounts and resources. GuardDuty does not scan container images for vulnerabilities, nor does it integrate with Amazon ECR or EC2 Image Builder.

Option C is not correct because it uses basic scanning on the ECR repository, which only provides a summary of the vulnerabilities found in your container images. Basic scanning does not use Inspector2 or generate findings that can be captured by Amazon EventBridge. Moreover, basic scanning does not provide guidance on how to fix the vulnerabilities.

Option D is not correct because it uses AWS Systems Manager Compliance, which is a feature of Systems Manager that helps you monitor and manage the compliance status of your AWS resources based on AWS Config rules and AWS Security Hub standards. Systems Manager Compliance does not scan container images for vulnerabilities, nor does it integrate with Amazon ECR or EC2 Image Builder.

A. The CloudFormation template should be modified to include a parameter that indicates the location of the .zip file containing the Lambda function ' s code. This allows the CloudFormation deploy action to use the correct artifact depending on the region. This is critical because Lambda functions need to reference their code artifacts from the same region they are being deployed in. B. You would also need to create a new CloudFormation deploy action for the us-east-1 Region within the pipeline. This action should be configured to use the CloudFormation template from the artifact that was specifically created for us-east-1.