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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 is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache Webserver. The development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production.

The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.

How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?

Options:

A.

Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the AfterInstall lifecycle hook in the appspec.yml file.

B.

Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ NAME to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the BeforeInstall lifecycle hook in the appspec.yml file.

C.

Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.

D.

Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.

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Question 2

A company has multiple development teams in different business units that work in a shared single AWS account All Amazon EC2 resources that are created in the account must include tags that specify who created the resources. The tagging must occur within the first hour of resource creation.

A DevOps engineer needs to add tags to the created resources that Include the user ID that created the resource and the cost center ID The DevOps engineer configures an AWS Lambda Function with the cost center mappings to tag the resources. The DevOps engineer also sets up AWS CloudTrail in the AWS account. An Amazon S3 bucket stores the CloudTrail event logs

Which solution will meet the tagging requirements?

Options:

A.

Create an S3 event notification on the S3 bucket to invoke the Lambda function for s3. ObJectTagging:Put events. Enable bucket versioning on the S3 bucket.

B.

Enable server access logging on the S3 bucket. Create an S3 event notification on the S3 bucket for s3. ObjectTaggIng.• events

C.

Create a recurring hourly Amazon EventBridge scheduled rule that invokes the Larnbda function. Modify the Lambda function to read the logs from the S3 bucket

D.

Create an Amazon EventBridge rule that uses Amazon EC2 as the event source. Configure the rule to match events delivered by CloudTraiI. Configure the rule to target the Lambda function

Question 3

A company’s web app runs on EC2 with a relational database. The company wants highly available multi-Region architecture with latency-based routing for global customers.

Which solution meets these requirements?

Options:

A.

ALB in each Region with Auto Scaling groups; Aurora global database with read replicas; Route 53 latency-based routing to ALBs.

B.

ALB in each Region with Auto Scaling groups; RDS primary in one Region with read replicas in others; Route 53 failover routing to ALBs.

C.

Elastic Beanstalk with ALB in each Region; Aurora global database with read replicas; CloudFront with custom origins for ALBs; Route 53 latency-based routing to CloudFront.

D.

Elastic Beanstalk with ALB in each Region; RDS primary in one Region with read replicas; CloudFront with custom origins for ALBs; Route 53 failover routing to CloudFront.