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

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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company manages a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The EC2 instances run in an Auto Scaling group across multiple Availability Zones. The application uses an Amazon RDS for MySQL DB instance to store the data. The company has configured Amazon Route 53 with an alias record that points to the ALB.

A new company guideline requires a geographically isolated disaster recovery (DR > site with an RTO of 4 hours and an RPO of 15 minutes.

Which DR strategy will meet these requirements with the LEAST change to the application stack?

Options:

A.

Launch a replica environment of everything except Amazon RDS in a different Availability Zone Create an RDS read replica in the new Availability Zone: and configure the new stack to point to the local RDS DB instance. Add the new stack to the Route 53 record set by using a hearth check to configure a failover routing policy.

B.

Launch a replica environment of everything except Amazon RDS in a different AWS. Region Create an RDS read replica in the new Region and configure the new stack to point to the local RDS DB instance. Add the new stack to the Route 53 record set by using a health check to configure a latency routing policy.

C.

Launch a replica environment of everything except Amazon RDS ma different AWS Region. In the event of an outage copy and restore the latest RDS snapshot from the primary. Region to the DR Region Adjust the Route 53 record set to point to the ALB in the DR Region.

D.

Launch a replica environment of everything except Amazon RDS in a different AWS Region. Create an RDS read replica in the new Region and configure the new environment to point to the local RDS DB instance. Add the new stack to the Route 53 record set by using a health check to configure a failover routing policy. In the event of an outage promote the read replica to primary.

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Question 2

A company deploys an application to two AWS Regions. The application creates and stores objects in an Amazon S3 bucket that is in the same Region as the application. Both deployments of the application need to have access to all the objects and their metadata from both Regions. The company has configured two-way replication between the S3 buckets and has enabled S3 Replication metrics on each S3 bucket.

A DevOps engineer needs to implement a solution that retries the replication process if an object fails to replicate.

Which solution will meet these requirements?

Options:

A.

Create an Amazon EventBridge rule that listens to S3 event notifications for failed replication events. Create an AWS Lambda function that downloads the failed replication object and then runs a PutObject command for the object to the destination bucket. Configure the EventBridge rule to invoke the Lambda function to handle the object that failed to replicate.

B.

Create an Amazon Simple Queue Service (Amazon SQS) queue. Configure S3 event notifications to send failed replication notifications to the SQS queue. Create an AWS Lambda function that downloads the failed replication object and then runs a PutObject command for the object to the destination bucket. Configure the Lambda function to poll the queue for notifications to process.

C.

Create an Amazon EventBridge rule that listens to S3 event notifications for failed replications. Create an AWS Lambda function that downloads the failed replication object and then runs a PutObject command for the object to the destination bucket.

D.

Create an AWS Lambda function that will use S3 Batch Operations to retry the replication on the existing object for a failed replication. Configure S3 event notifications to send failed replication notifications to the Lambda function.

Question 3

A company has microservices running in AWS Lambda that read data from Amazon DynamoDB. The Lambda code is manually deployed by developers after successful testing The company now needs the tests and deployments be automated and run in the cloud Additionally, traffic to the new versions of each microservice should be incrementally shifted over time after deployment.

What solution meets all the requirements, ensuring the MOST developer velocity?

Options:

A.

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

B.

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

C.

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.

D.

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