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

Create an AWS Lambda function to deploy the Cloud Formation templates m the required order Use stack policies to alert the data engineering team.

Host the Cloud Formation templates in Amazon S3 Use Amazon S3 events to directly trigger CloudFormation updates and Amazon SNS notifications.

Implement CloudFormation StackSets and use drift detection to trigger update alerts to the data engineering team.

Leverage CloudFormation nested stacks and stack sets (or deployments Use Amazon SNS to notify the data engineering team.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Implement a local Docker layer cache for CodeBuild.

Cache the Docker images in an Amazon S3 bucket that is available across multiple build hosts. Expire the cache by using an S3 Lifecycle policy.

Store the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Modify the CodeBuild project runtime configuration to always use the most recent image version.

Create custom AMIs that contain the cached Docker images. In the CodeBuild build, launch Amazon EC2 instances from the custom AMIs.

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.