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

Create a web application to write records to Amazon S3 Use S3 Event Notifications to publish to an Amazon Simple Notification Service (Amazon SNS) topic Use an EC2 instance to poll Amazon SNS and start processing Save intermediate results to Amazon S3 to pass on to the next step

Perform the processing steps by using logic in the application. Convert the application code to run in a container. Use AWS Fargate to manage the container Instances. Configure the container to invoke itself to pass the state from one step to the next.

Create a web application to pass records to an Amazon Kinesis data stream. Decouple the processing by using the Kinesis data stream and AWS Lambda functions.

Create a web application to pass records to AWS Step Functions. Decouple the processing into Step Functions tasks and AWS Lambda functions.

Enable VPC Flow Logs to identify requests that reach the HTTP API.

Deploy AWS WAF in front of the CloudFront distribution.

Implement an identity-based policy on the CloudFront distribution that requires authentication to make requests to the HTTP API.

Implement a custom header in the CloudFront distribution. Implement an AWS Lambda authorizer associated with the HTTP API that verifies the custom header.

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.