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

Create an Amazon Aurora cluster in one Availability Zone across multiple Regions as the data store Use Aurora ' s automatic recovery capabilities in the event of a disaster

Create an Amazon Aurora global database in two Regions as the data store. In the event of a failure promote the secondary Region as the primary for the application.

Create an Amazon Aurora multi-master cluster across multiple Regions as the data store. Use a Network Load Balancer to balance the database traffic in different Regions.

Set up the application in two Regions and use Amazon Route 53 failover-based routing that points to the Application Load Balancers in both Regions. Use hearth checks to determine the availability in a given Region. Use Auto Scaling groups in each Region to adjust capacity based on demand.

Set up the application m two Regions and use a multi-Region Auto Scaling group behind Application Load Balancers to manage the capacity based on demand. In the event of a disaster adjust the Auto Scaling group ' s desired instance count to increase baseline capacity in the failover Region.

Enable AWS Control Tower. Use Customizations for AWS Control Tower (CfCT) to deploy each CloudFormation template from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU.

Enable AWS Control Tower. Build a pipeline in AWS CodePipeline to deploy the CloudFormation deployment from a centralized account. Create a GitHub repository to store the entire configuration package, including the CloudFormation templates and a manifest file that maps each CloudFormation template to its corresponding OU. After the code is updated in GitHub, initiate the pipeline and deploy the CloudFormation templates to the new AWS accoun

Store the CloudFormation templates in an Amazon S3 bucket by using a separate prefix for each AWS account. Create an AWS Lambda function that deploys a specific CloudFormation template to each new AWS account based on the prefix path that indicates where each template is located in the S3 bucket.

Store CloudFormation templates in an Amazon S3 bucket. Create an AWS Lambda function that deploys a specific CloudFormation template to the new AWS accounts based on the OU each new account is in. Create an Amazon EventBridge rule that matches " eventName " : " CreateAccountResult " and " state " : " SUCCEEDED. " Set the Lambda function as the target of the EventBridge rule.

Create the secret in AWS Secrets Manager. Enable rotation. Set the rotation frequency to 60 days. Configure the application to reference the secret value by using the fully qualified path in Parameter Store.

Create the secret in Parameter Store. Enable automatic rotation. Set the rotation frequency to 60 days. Configure the application to reference the secret value by using the fully qualified path in Parameter Store.

Create the secret in Parameter Store. Create an AWS Lambda function to rotate the secret. Configure an Amazon EventBridge event to invoke the Lambda function every 60 days. Configure the application to provide the unique secret name to Parameter Store to retrieve the secret.

Create the secret in AWS Secrets Manager. Enable rotation by AWS Lambda function. Use the Secrets Manager provided template for ElastiCache (Redis OSS) secrets. Set the rotation schedule to 60 days. Set a rotation window duration in Secrets Manager. Configure the application to provide the full reserved path to Parameter Store when the application accesses the secret.