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

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.

Create an AWS CodePipelme configuration and set up a post-commit hook to trigger the pipeline after tests have passed Use AWS CodeDeploy and create a Canary deployment configuration that specifies the percentage of traffic and interval

Create an AWS CodeBuild configuration that triggers when the test code is pushed Use AWS CloudFormation to trigger an AWS CodePipelme configuration that deploys the new Lambda versions and specifies the traffic shift percentage and interval

Create an AWS CodePipelme configuration and set up the source code step to trigger when code is pushed. Set up the build step to use AWS CodeBuild to run the tests Set up an AWS CodeDeploy configuration to deploy, then select the CodeDeployDefault.LambdaLinearlDPercentEvery3Minut.es Option.

Use the AWS CLI to set up a post-commit hook that uploads the code to an Amazon S3 bucket after tests have passed. Set up an S3 event trigger that runs a Lambda function that deploys the new version. Use an interval in the Lambda function to deploy the code over time at the required percentage

Configure CloudWatch dashboards using default EKS service metrics.

Configure AWS CloudTrail for the EKS cluster.

Configure CloudTrail Insights for the EKS cluster.

Configure Amazon CloudWatch Container Insights for the EKS cluster by enabling the CloudWatch Observability add-on.