AWS Certified Professional DOP-C02 Syllabus Exam Questions Answers

Insert a manual approval action between the test actions and deployment actions of the pipeline.

Modify the buildspec.yml file for the compilation stage to require manual approval before completion.

Update the CodeDeploy deployment groups so that they require manual approval to proceed.

Update the pipeline to directly call the REST API for the penetration testing tool.

Update the pipeline to invoke an AWS Lambda function that calls the REST API for the penetration testing tool.

Configure ECR replication to eu-west-2 on the repository. Configure an NLB in eu-west-2 that resolves to Fargate tasks in an ECS cluster in eu-west-2. Configure a latency routing policy in Route 53 for the two workloads.

Configure the DynamoDB table as a global table with a replica in eu-west-2. Configure the Fargate tasks to interact with the DynamoDB table in ap-southeast-2.

Configure the DynamoDB table as a global table with a replica in eu-west-2. Configure the Fargate tasks to interact with the DynamoDB table in the same Region that the tasks run in.

Configure a new S3 bucket in eu-west-2. Configure data replication between the S3 bucket in ap-southeast-2 and the S3 bucket in eu-west-2. Configure the Fargate tasks to use the S3 bucket in the same Region that the tasks run in to perform S3 PUT and GET operations.

Configure an S3 Multi-Region Access Point for the S3 bucket in ap-southeast-2 and a new S3 bucket in eu-west-2. Configure two-way replication on the S3 buckets. Configure the workloads to use the Multi-Region Access Point for S3 PUT and GET operations.

Configure the CI/CD pipeline to deploy ECR images to both Regions. Configure an NLB in eu-west-2 that resolves to Fargate tasks in an ECS cluster in eu-west-2. Configure a failover routing policy in Route 53 for the two workloads.

Create an Amazon CloudWatch log group. Create an AWS CloudTrail trail that writes to the CloudWatch log group.

Create a new Amazon S3 bucket. Configure default audit logging on the Redshift cluster. Configure the S3 bucket as the target.

Configure the Redshift cluster database audit logging to include user activity logs. Configure Amazon CloudWatch as the target.

Create an Amazon CloudWatch dashboard that has a log widget. Configure the widget to display user details from the Redshift logs.

Create an AWS Lambda function that uses Amazon Athena to query the Redshift logs. Create an Amazon CloudWatch dashboard that has a custom widget type that uses the Lambda function.

Deploy the application on an Amazon EC2 instance, and create an AMI of the instance. Use the AMI to create an automatic scaling launch configuration that is used in an Auto Scaling group. Use Elastic Load Balancing to distribute traffic. When changes are made to the application, a new AMI will be created, which will initiate an EC2 instance refresh.

Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket. Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to manage the deployment.

Use AWS CodeArtifact to store the application code. Use AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use Elastic Load Balancing to distribute the traffic to the EC2 instances. When making changes to the application, upload a new version to CodeArtifact and create a new CodeDeploy deployment.

Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3. Use that location to deploy new versions of the application. Use Elastic Beanstalk to manage the deployment options.