DOP-C02 Exam Dumps - Amazon Web Services AWS Certified Professional Questions and Answers

Deploy the application on an Amazon EC2 instance, and create an AMI of the instance. Use the AMI to create an automatic scaling launch configuration that is used in an Auto Scaling group. Use Elastic Load Balancing to distribute traffic. When changes are made to the application, a new AMI will be created, which will initiate an EC2 instance refresh.

Use Amazon Lightsail to deploy the application. Store the application in a zipped format in an Amazon S3 bucket. Use this zipped version to deploy new versions of the application to Lightsail. Use Lightsail deployment options to manage the deployment.

Use AWS CodeArtifact to store the application code. Use AWS CodeDeploy to deploy the application to a fleet of Amazon EC2 instances. Use Elastic Load Balancing to distribute the traffic to the EC2 instances. When making changes to the application, upload a new version to CodeArtifact and create a new CodeDeploy deployment.

Use AWS Elastic Beanstalk to host the application. Store a zipped version of the application in Amazon S3. Use that location to deploy new versions of the application. Use Elastic Beanstalk to manage the deployment options.

Enable smart sessions on the load balancer and modify the application to check tor an existing session.

Enable session sharing on the toad balancer and modify the application to read from the session store.

Store user session information in an Amazon S3 bucket and modify the application to read session information from the bucket.

Modify the application to store user session information in an Amazon ElastiCache cluster.

Write a script to launch an Amazon EC2 instance from the previous golden image Apply the patch updates Install the new version of the Chef agent, generate a new golden image, and then modify the AMI permissions to share only the new image with the department's accounts.

Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent Use AWS Resource Access Manager to share EC2 Image Builder images with the department's accounts

Use an AWS Systems Manager Automation runbook to update the Linux AMI by using the previous image Provide the URL for the script that will update the Chef agent Use AWS Organizations to replace the previous golden image in the department's accounts.

Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent Create a parameter in AWS Systems Manager Parameter Store to store the new AMI ID that can be referenced by the department's accounts

Use AWS Systems Manager to create a new custom patch baseline that includes the default operating system repository and the custom repository. Run the AWS-RunPatchBaseline document by using the Run command to verify and install patches. Use the BaselineOverride API to configure the new custom patch baseline.

Use AWS Direct Connect to integrate the custom repository with the EC2 instances. Use Amazon EventBridge events to deploy the patches.

Use the yum-config-manager command to add the custom repository to the /etc/yum.repos.d configuration. Run the yum-config-manager-enable command to activate the new repository.

Use AWS Systems Manager to create a patch baseline for the default operating system repository and a second patch baseline for the custom repository. Run the AWS-RunPatchBaseline document by using the Run command to verify and install patches. Use the BaselineOverride API to configure the default patch baseline and the custom patch baseline.

Add a stage to the CodePipeline pipeline between the source and deploy stages. Use AWS CodeBuild to create a runtime environment and build commands in the buildspec file to invoke test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.

Add a stage to the CodePipeline pipeline between the source and deploy stages. Use this stage to invoke an AWS Lambda function that will run the test scripts. If errors are found, use the aws deploy stop-deployment command to stop the deployment.

Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTestTraffic lifecycle event to invoke an AWS Lambda function to run the test scripts. If errors are found, exit the Lambda function with an error to initiate rollback.

Add a hooks section to the CodeDeploy AppSpec file. Use the AfterAllowTraffic lifecycle event to invoke the test scripts. If errors are found, use the aws deploy stop-deployment CLI command to stop the deployment.

Update the default KMS key for Secrets Manager to allow only the Lambda function's execution role to decrypt.

Create a KMS customer managed key that trusts Secrets Manager and allows the Lambda function's execution role to decrypt. Update Secrets Manager to use the new customer managed key.

Create a KMS customer managed key that trusts Secrets Manager and allows the account's :root principal to decrypt. Update Secrets Manager to use the new customer managed key.

Ensure that the Lambda function's execution role has the KMS permissions scoped on the resource level. Configure the permissions so that the KMS key can encrypt the Secrets Manager secret.

Remove all KMS permissions from the Lambda function's execution role.

Check the returned response for the Versioned Compare the returned Versioned against the MD5 checksum.

Include the MD5 checksum within the Content-MD5 parameter. Check the operation call's return status to find out if an error was returned.

Include the checksum digest within the tagging parameter as a URL query parameter.

Check the returned response for the ETag. Compare the returned ETag against the MD5 checksum.

Include the checksum digest within the Metadata parameter as a name-value pair After upload use the S3 HeadObject operation to retrieve metadata from the object.