|Exam Name||AWS Certified DevOps Engineer - Professional|
|Update Date||November 27,2023|
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What is AWS Certified DevOps Engineer - Professional (DOP-C02) Exam?
The AWS Certified DevOps Engineer - Professional DOP-C02 is a certification offered by Amazon Web Services (AWS) that validates the expertise of individuals in designing, deploying, and operating applications on AWS using the principles and best practices of DevOps.
This certification is designed for experienced DevOps professionals who have a deep understanding of AWS services and hands-on experience with their deployment, automation, and management. The certification exam assesses a candidate's ability to implement and manage continuous delivery systems, automate security controls, and design, deploy, and operate highly available, scalable, and fault-tolerant systems on AWS.
To earn this certification, candidates must pass a two-part exam, which includes multiple-choice and hands-on components. The exam covers various topics, including AWS services and features, continuous delivery and deployment, monitoring and logging, security and compliance, and automation and optimization.
Overall, the AWS Certified DevOps Engineer - Professional DOP-C02 certification demonstrates that an individual has the skills and knowledge required to succeed in a DevOps role on the AWS platform.
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A company recently migrated its legacy application from on-premises to AWS. Theapplication is hosted on Amazon EC2 instances behind an Application Load Balancerwhich is behind Amazon API Gateway. The company wants to ensure users experienceminimal disruptions during any deployment of a new version of the application. Thecompany also wants to ensure it can quickly roll back updates if there is an issue.Which solution will meet these requirements with MINIMAL changes to the application?
A. Introduce changes as a separate environment parallel to the existing one Configure APIGateway to use a canary release deployment to send a small subset of user traffic to thenew environment.
B. Introduce changes as a separate environment parallel to the existing one Update theapplication's DNS alias records to point to the new environment.
C. Introduce changes as a separate target group behind the existing Application LoadBalancer Configure API Gateway to route user traffic to the new target group in steps.
D. Introduce changes as a separate target group behind the existing Application LoadBalancer Configure API Gateway to route all traffic to the Application Load Balancer which then sends the traffic to the new target group.
A development team manually builds an artifact locally and then places it in an Amazon S3bucket. The application has a local cache that must be cleared when a deployment occurs. The team runs a command to do this downloads the artifact from Amazon S3 and unzipsthe artifact to complete the deployment.A DevOps team wants to migrate to a CI/CD process and build in checks to stop and rollback the deployment when a failure occurs. This requires the team to track the progressionof the deployment.Which combination of actions will accomplish this? (Select THREE)
A. Allow developers to check the code into a code repository Using Amazon EventBridgeon every pull into the mam branch invoke an AWS Lambda function to build the artifact andstore it in Amazon S3.
B. Create a custom script to clear the cache Specify the script in the Beforelnstall lifecyclehook in the AppSpec file.
C. Create user data for each Amazon EC2 instance that contains the clear cache scriptOnce deployed test the application If it is not successful deploy it again.
D. Set up AWS CodePipeline to deploy the application Allow developers to check the codeinto a code repository as a source tor the pipeline.
E. Use AWS CodeBuild to build the artifact and place it in Amazon S3 Use AWSCodeDeploy to deploy the artifact to Amazon EC2 instances.
F. Use AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all theinstances.
A company uses Amazon S3 to store proprietary information. The development teamcreates buckets for new projects on a daily basis. The security team wants to ensure thatall existing and future buckets have encryption logging and versioning enabled.Additionally, no buckets should ever be publicly read or write accessible.What should a DevOps engineer do to meet these requirements?
A. Enable AWS CloudTrail and configure automatic remediation using AWS Lambda.
B. Enable AWS Conflg rules and configure automatic remediation using AWS SystemsManager documents.
C. Enable AWS Trusted Advisor and configure automatic remediation using AmazonEventBridge.
D. Enable AWS Systems Manager and configure automatic remediation using SystemsManager documents.
A company requires an RPO of 2 hours and an RTO of 10 minutes for its data andapplication at all times. An application uses a MySQL database and Amazon EC2 webservers. The development team needs a strategy for failover and disaster recovery. Which combination of deployment strategies will meet these requirements? (Select TWO.)
A. Create an Amazon Aurora cluster in one Availability Zone across multiple Regions asthe data store Use Aurora's automatic recovery capabilities in the event of a disaster
B. Create an Amazon Aurora global database in two Regions as the data store. In theevent of a failure promote the secondary Region as the primary for the application.
C. Create an Amazon Aurora multi-master cluster across multiple Regions as the datastore. Use a Network Load Balancer to balance the database traffic in different Regions.
D. Set up the application in two Regions and use Amazon Route 53 failover-based routingthat points to the Application Load Balancers in both Regions. Use hearth checks todetermine the availability in a given Region. Use Auto Scaling groups in each Region toadjust capacity based on demand.
E. Set up the application m two Regions and use a multi-Region Auto Scaling group behindApplication Load Balancers to manage the capacity based on demand. In the event of adisaster adjust the Auto Scaling group's desired instance count to increase baselinecapacity in the failover Region.
A company has a legacy application A DevOps engineer needs to automate the process ofbuilding the deployable artifact for the legacy application. The solution must store thedeployable artifact in an existing Amazon S3 bucket for future deployments to referenceWhich solution will meet these requirements in the MOST operationally efficient way?
A. Create a custom Docker image that contains all the dependencies tor the legacyapplication Store the custom Docker image in a new Amazon Elastic Container Registry(Amazon ECR) repository Configure a new AWS CodeBuild project to use the customDocker image to build the deployable artifact and to save the artifact to the S3 bucket.
B. Launch a new Amazon EC2 instance Install all the dependencies (or the legacyapplication on the EC2 instance Use the EC2 instance to build the deployable artifact andto save the artifact to the S3 bucket.
C. Create a custom EC2 Image Builder image Install all the dependencies for the legacyapplication on the image Launch a new Amazon EC2 instance from the image Use the newEC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.
D. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with an AWSFargate profile that runs in multiple Availability Zones Create a custom Docker image thatcontains all the dependencies for the legacy application Store the custom Docker image ina new Amazon Elastic Container Registry (Amazon ECR) repository Use the customDocker image inside the EKS cluster to build the deployable artifact and to save the artifactto the S3 bucket.
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