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

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Question # 9

A company streams logs to CloudWatch Logs. Logs must be searchable for 30 days, low-latency accessible for 90 days, and occasionally retrieved after 180 days.

Which solution is MOST cost-effective?

Configure log retention of 30 days and export to S3 via Kinesis Data Streams. Use S3 Lifecycle policies.

Configure retention of 30 days and stream to S3 via Kinesis Data Firehose. Transition to S3 One Zone-IA and Glacier Flexible Retrieval.

Configure retention of 30 days and stream via Kinesis Data Streams, then store in S3 Standard-IA and Glacier Instant Retrieval.

Configure retention of 30 days and stream via Kinesis Data Firehose to S3. Transition to S3 Standard-IA (90 days) and Glacier Deep Archive (180 days).

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Question # 10

A company uses a single AWS account lo test applications on Amazon EC2 instances. The company has turned on AWS Config in the AWS account and has activated the restricted-ssh AWS Config managed rule.

The company needs an automated monitoring solution that will provide a customized notification in real time if any security group in the account is not compliant with the restricted-ssh rule. The customized notification must contain the name and ID of the noncompliant security group.

A DevOps engineer creates an Amazon Simple Notification Service (Amazon SNS) topic in the account and subscribes the appropriate personnel to the topic.

What should me DevOps engineer do next to meet these requirements?

Create an Amazon EventBridge rule that matches an AWS Config evaluation result of NON_COMPLIANT tor the restricted-ssh rule. Configure an input transformer for the EventBridge rule Configure the EventBridge rule to publish a notification to the SNS topic.

Configure AWS Config to send all evaluation results for the restricted-ssh rule to the SNS topic. Configure a filter policy on the SNS topic to send only notifications that contain the text of NON_COMPLIANT in the notification to subscribers.

Create an Amazon EventBridge rule that matches an AWS Config evaluation result of NON_COMPLlANT for the restricted-ssh rule Configure the EventBridge rule to invoke AWS Systems Manager Run Command on the SNS topic to customize a notification and to publish the notification to the SNS topic

Create an Amazon EventBridge rule that matches all AWS Config evaluation results of NON_COMPLIANT Configure an input transformer for the restricted-ssh rule Configure the EventBridge rule to publish a notification to the SNS topic.

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Question # 11

A company uses AWS Control Tower to deploy multiple AWS accounts. A security team must automate Control Tower guardrails applied to all accounts in an OU, with version control and rollback capabilities.

Which solution meets these requirements?

Create CloudFormation templates per guardrail stored in CodeCommit. Use AWS::ControlTower::EnableControl resources. Automate via CodeBuild.

Same as A but for each account.

Store CloudFormation templates per guardrail in a Git repo. Use CodePipeline in the security account with EventBridge triggering deployments.

Store templates in S3 and trigger deployment with EventBridge PutObject.

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Question # 12

A DevOps engineer needs to implement integration tests into an existing AWS CodePipelme CI/CD workflow for an Amazon Elastic Container Service (Amazon ECS) service. The CI/CD workflow retrieves new application code from an AWS CodeCommit repository and builds a container image. The CI/CD workflow then uploads the container image to Amazon Elastic Container Registry (Amazon ECR) with a new image tag version.

The integration tests must ensure that new versions of the service endpoint are reachable and that vanous API methods return successful response data The DevOps engineer has already created an ECS cluster to test the service

Which combination of steps will meet these requirements with the LEAST management overhead? (Select THREE.)

Add a deploy stage to the pipeline Configure Amazon ECS as the action provider

Add a deploy stage to the pipeline Configure AWS CodeDeploy as the action provider

Add an appspec.yml file to the CodeCommit repository

Update the image build pipeline stage to output an imagedefinitions json file that references the new image tag.

Create an AWS Lambda function that runs connectivity checks and API calls against the service. Integrate the Lambda function with CodePipeline by using aLambda action stage

Write a script that runs integration tests against the service. Upload the script to an Amazon S3 bucket. Integrate the script in the S3 bucket with CodePipeline by using an S3 action stage.

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Answer:

Explanation:

ï‚· Add a Deploy Stage to the Pipeline, Configure Amazon ECS as the Action Provider:

By adding a deploy stage to the pipeline and configuring Amazon ECS as the action provider, the pipeline can automatically deploy the new container image to the ECS cluster.

This ensures that the service is updated with the new image tag, making the new version of the service endpoint reachable.

[Reference: AWS CodePipeline with ECS, ï‚· Update the Image Build Pipeline Stage to Output an imagedefinitions.json File that References the New Image Tag:, The imagedefinitions.json file provides the necessary information about the container images and their tags for the ECS task definitions., Updating the pipeline to output this file ensures that the correct image version is deployed., Example imagedefinitions.json, , [, {, "name": "container-name",, "imageUri": "123456789012.dkr.ecr.region.amazonaws.com/my-repo:my-tag", }, ], , , ï‚· Reference: CodePipeline ECS Deployment, ï‚· Create an AWS Lambda Function that Runs Connectivity Checks and API Calls against the Service. Integrate the Lambda Function with CodePipeline by Using a Lambda Action Stage:, The Lambda function can perform the necessary integration tests by making connectivity checks and API calls to the deployed service endpoint., Integrating this Lambda function into CodePipeline ensures that these tests are run automatically after deployment, providing near-real-time feedback on the new deploymentâ€™s health., , Example Lambda function integration:, actions:, - name: TestService, actionTypeId:, category: Test, owner: AWS, provider: Lambda, version: 1, runOrder: 2, configuration:, FunctionName: testServiceFunction, , Reference: Integrating Lambda with CodePipeline, These steps ensure that the CI/CD workflow deploys the new container image to ECS, updates the image references, and performs integration tests, meeting the requirements with minimal management overhead., , , , ]

Question # 13

A company has developed an AWS Lambda function that handles orders received through an API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a CI/CD pipeline.

A DevOps engineer has noticed there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation the DevOps engineer believes the failures are due to database changes not having fully propagated before the Lambda function is invoked

How should the DevOps engineer overcome this?

Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function.

Add an AfterAlIowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond.

Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function.

Add a validateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready.

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Question # 14

A company's application teams use AWS CodeCommit repositories for their applications. The application teams have repositories in multiple AWS

accounts. All accounts are in an organization in AWS Organizations.

Each application team uses AWS IAM Identity Center (AWS Single Sign-On) configured with an external IdP to assume a developer IAM role. The developer role allows the application teams to use Git to work with the code in the repositories.

A security audit reveals that the application teams can modify the main branch in any repository. A DevOps engineer must implement a solution that

allows the application teams to modify the main branch of only the repositories that they manage.

Which combination of steps will meet these requirements? (Select THREE.)

Update the SAML assertion to pass the user's team name. Update the IAM role's trust policy to add an access-team session tag that has the team name.

Create an approval rule template for each team in the Organizations management account. Associate the template with all the repositories. Add the developer role ARN as an approver.

Create an approval rule template for each account. Associate the template with all repositories. Add the "aws:ResourceTag/access-team":"$ ;{aws:PrincipaITag/access-team}" condition to the approval rule template.

For each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.

Attach an SCP to the accounts. Include the following statement: A computer code with text AI-generated content may be incorrect.

Create an IAM permissions boundary in each account. Include the following statement: A computer code with black text AI-generated content may be incorrect.

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Answer:

Explanation:

Short Explanation: To meet the requirements, the DevOps engineer should update the SAML assertion to pass the userâ€™s team name, update the IAM roleâ€™s trust policy to add an access-team session tag that has the team name, create an IAM permissions boundary in each account, and for each CodeCommit repository, add an access-team tag that has the value set to the name of the associated team.

Updating the SAML assertion to pass the userâ€™s team name allows the DevOps engineer to use IAM tags to identify which team a user belongs to. This can help enforce fine-grained access control based on the userâ€™s team membership1.

Updating the IAM roleâ€™s trust policy to add an access-team session tag that has the team name allows the DevOps engineer to use IAM condition keys to restrict access based on the session tag value2. For example, the DevOps engineer can use the aws:PrincipalTag condition key to match the access-team tag of the user with the access-team tag of the repository3.

Creating an IAM permissions boundary in each account allows the DevOps engineer to set the maximum permissions that an identity-based policy can grant to an IAM entity. An entityâ€™s permissions boundary allows it to perform only the actions that are allowed by both its identity-based policies and its permissions boundaries4. For example, the DevOps engineer can use a permissions boundary policy to limit the actions that a user can perform on CodeCommit repositories based on their access-team tag5.

For each CodeCommit repository, adding an access-team tag that has the value set to the name of the associated team allows the DevOps engineer to use resource tags to identify which team manages a repository. This can help enforce fine-grained access control based on the resource tag value6.

The other options are incorrect because:

Creating an approval rule template for each team in the Organizations management account is not a valid option, as approval rule templates are not supported by AWS Organizations. Approval rule templates are specific to CodeCommit and can only be associated with one or more repositories in the same AWS Region where they are created7.

Creating an approval rule template for each account is not a valid option, as approval rule templates are not designed to restrict access to modify branches. Approval rule templates are designed to require approvals from specified users or groups before merging pull requests8.

Attaching an SCP to the accounts is not a valid option, as SCPs are not designed to restrict access based on tags. SCPs are designed to restrict access based on service actions and resources across all users and roles in an organizationâ€™s account9.

Question # 15

A company wants to use AWS development tools to replace its current bash deployment scripts. The company currently deploys a LAMP application to a group of Amazon EC2 instances behind an Application Load Balancer (ALB). During the deployments, the company unit tests the committed application, stops and starts services, unregisters and re-registers instances with the load balancer, and updates file permissions. The company wants to maintain the same deployment functionality through the shift to using AWS services.

Which solution will meet these requirements?

Use AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services, and deregister and register instances with the ALB. Use the appspec.yml file to update file permissions without a custom script.

Use AWS CodePipeline to move the application from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy's deployment group to test the application, unregister and re-register instances with the ALB. and restart services. Use the appspec.yml file to update file permissions without a custom script.

Use AWS CodePipeline to move the application source code from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy to test the application. Use CodeDeploy's appspec.yml file to restart services and update permissions without a custom script. Use AWS CodeBuild to unregister and re-register instances with the ALB.

Use AWS CodePipeline to trigger AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services. Unregister and re-register the instances in the AWS CodeDeploy deployment group with the ALB. Update the appspec.yml file to update file permissions without a custom script.

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Question # 16

A company is developing an application that uses AWS Lambda functions. A DevOps engineer must create an AWS CloudFormation template that defines a deployment configuration for gradual traffic shifting to new Lambda function versions.

Which CloudFormation resource configuration will meet this requirement?

Use an AWS::CodeDeploy::DeploymentConfig resource. Define a TimeBasedCanary configuration. Specify values for percentage and minutes for traffic shifting.

Use an AWS::CodeDeploy::DeploymentGroup resource. Define the DeploymentStyle property as BLUE_GREEN. Configure the TrafficRoutingConfig data type for linear traffic shifting.

Use an AWS::Lambda::Version resource with the VersionWeight property to control the percentage of traffic that is routed to the new Lambda function versions.

Use an AWS::Lambda::Alias resource with the RoutingConfig property to specify weights for gradual traffic shifting between the Lambda function versions.

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