Pass the Amazon Web Services AWS Certified Professional DOP-C02 Questions and answers with CertsForce

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AWS CodeArtifact is a fully managed artifact repository service that supports popular package formats and can proxy downstream public repositories securely. It integrates seamlessly with both AWS Cloud and on-premises environments and stores artifacts in highly durable object storage (Amazon S3). CodeArtifact encrypts data at rest and in transit by default.

Because there is currently no routing between the on-premises data center and AWS, establishing a third-party software VPN appliance for connectivity provides secure communication without requiring complex AWS Direct Connect or multiple VPN setups.

This solution can be deployed quickly (within two weeks), is highly available, and meets encryption requirements. Using CodeArtifact eliminates the need to maintain third-party artifact servers, reducing operational overhead and improving reliability.

Options B, C, and D introduce higher complexity with AWS Direct Connect or multiple VPN connections and third-party software that increases deployment time and operational burden, which is against the requirement for rapid deployment and high operational efficiency.

Reference from AWS Official Documentation:

AWS CodeArtifact Overview:"CodeArtifact is a fully managed artifact repository service that makes it easy for organizations to securely store, publish, and share software packages used in their software development process."(AWS CodeArtifact Documentation)

Encryption in AWS CodeArtifact:"CodeArtifact encrypts data at rest and in transit by default."(AWS CodeArtifact Security)

VPN Appliance Deployment:"Software VPN appliances are commonly used for secure, encrypted connectivity between on-premises data centers and AWS."(AWS VPN Options)

This failure is typically due to incorrectly configured health checks in Elastic Load Balancing for the Classic Load Balancer, Application Load Balancer, or Network Load Balancer used to manage traffic for the deployment group. To resolve the issue, review and correct any errors in the health check configuration for the load balancer. https://docs.aws.amazon.com/codedeploy/latest/userguide/troubleshooting-deployments.html#troubleshooting-deployments-allowtraffic-no-logs

The engineer should make the following changes to achieve a policy of least permission:

A: Add a condition to ensure that the principal making the request is an AWS Lambda function. This ensures that only Lambda functions can execute this policy.

B: Narrow down the resources by specifying the ARN of EC2 instances instead of allowing all resources. This ensures that the policy only affects EC2 instances.

D: Add a condition to ensure that this policy only applies to EC2 instances tagged with “Environment: NonProduction”. This ensures that production environments are not affected by this policy.

AWS Identity and Access Management (IAM) - AWS Documentation

Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 179)

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Amazon CloudWatch Logs now supports data protection policies that can mask sensitive data in logs at ingestion time using custom data identifiers. By creating a custom data identifier matching the employee ID pattern (Emp-\d{6}), the administrator can mask those patterns in new log entries automatically.

Assigning an IAM policy that denies the logs:Unmask action to engineers prevents them from seeing unmasked sensitive data, enforcing least privilege access.

This approach is operationally efficient because it uses built-in CloudWatch Logs data protection capabilities without the need for complex custom code or manual log filtering.

Option C requires writing and managing Lambda functions for log transformation, increasing operational overhead. Option D is more complex and reactive rather than preventing the sensitive data exposure. Option B incorrectly references NotAction and managed identifiers that may not match the custom pattern.

The best solution to implement failover for the application is to use CloudFront origin groups. Origin groups allow CloudFront to automatically switch to a secondary origin when the primary origin is unavailable or returns specific HTTP status codes that indicate a failure1. This way, CloudFront can serve the requests from the secondary ALB in the secondary Region without any delay or redirection. To set up origin groups, the DevOps engineer needs to create a new origin on the distribution for the secondary ALB, create a new origin group with the original ALB as the primary origin and the secondary ALB as the secondary origin, and configure the origin group to fail over for HTTP 5xx status codes. Then, the DevOps engineer needs to update the default behavior to use the origin group instead of the single origin2.

The other options are not as effective or efficient as the solution in option B. Option A is not suitable because creating a second CloudFront distribution will increase the complexity and cost of the application. Moreover, using Route 53 alias records with a failover policy will introduce some delay in detecting and switching to the secondary CloudFront distribution, which may not meet the zero-second RTO requirement. Option C is not feasible because CloudFront does not support using Route 53 alias records as origins3. Option D is not advisable because using a CloudFront function to redirect the requests to the secondary ALB will add an extra round-trip and latency to the failover process, which may also not meet the zero-second RTO requirement.

1: Optimizing high availability with CloudFront origin failover - Amazon CloudFront

2: Creating an origin group - Amazon CloudFront

3: Values That You Specify When You Create or Update a Web Distribution - Amazon CloudFront

The correct answer is B. Creating a new AWS CodeBuild project and configuring a test stage in the AWS CodePipeline pipeline that uses the new CodeBuild project is the best way to integrate the unit tests into the existing pipeline. Creating a CodeBuild report group and uploading the test reports to the new CodeBuild report group will produce reports about the unit tests for the company to view. Using JUNITXML as the output format for the unit tests is supported by CodeBuild and will generate a valid report.

Option A is incorrect because Amazon CodeGuru Reviewer is a service that provides automated code reviews and recommendations for improving code quality and performance. It is not a tool for running unit tests or producing test reports. Therefore, option A will not meet the requirements.

Option C is incorrect because AWS CodeArtifact is a service that provides secure, scalable, and cost-effective artifact management for software development. It is not a tool for running unit tests or producing test reports. Moreover, option C uses CUCUMBERJSON as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.

Option D is incorrect because uploading the test reports to an Amazon S3 bucket is not the best way to produce reports about the unit tests for the company to view. CodeBuild has a built-in feature to create and manage test reports, which is more convenient and efficient than using S3. Furthermore, option D uses HTML as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.

Comprehensive and Detailed Explanation From Exact Extract of DevOps Engineer documents only:

Configure a CloudWatch alarm on StatusCheckFailed_System and set the EC2 recovery action. Instance recovery automatically recovers the instance on impaired hardware while preserving the instance ID, private IPs, EBS volumes, and metadata.

The requirement specifies enforcing encryption before CloudFormation creates or updates resources. This is key because preventive enforcement must occur during the provisioning workflow, not after resources already exist. AWS provides CloudFormation Hooks specifically for this purpose. A Hook allows an organization to intercept a CloudFormation stack operation and validate resource configurations before provisioning occurs. This feature is recommended by AWS for pre-deployment governance such as enforcing encryption policies, tag compliance, or security restrictions.

By enabling trusted access between CloudFormation StackSets and AWS Organizations, the Hook can be deployed centrally from the delegated administrator account across all accounts in the specified OU. Any attempt to create or update EBS volumes or SQS queues through CloudFormation is validated first by the Hook. If encryption is not configured, the operation fails immediately.

Option C (SCP) blocks API calls globally, but SCPs cannot perform conditional logic based on resource properties passed by CloudFormation prior to creation. Option B (AWS Config) detects violations after resources already exist, which does not satisfy “before stack operation.” Option D (Lambda remediation) also occurs after the resource is created.

Thus, CloudFormation Hooks distributed via StackSets provide the only solution that enforces compliance before the provisioning lifecycle

it involves adding an IPv6 CIDR block to the VPC and subnets for the ALB and specifying the dualstack IP address type on the ALB listener. This allows the ALB to listen on both IPv4 and IPv6 addresses, and forward requests to the EC2 instances that are added as targets to the target group associated with the ALB.