DOP-C02 Fragen Antworten & DOP-C02 Prüfungsübungen

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>> DOP-C02 Fragen Antworten <<

DOP-C02 Prüfungsübungen, DOP-C02 Prüfungsmaterialien

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Amazon AWS Certified DevOps Engineer - Professional DOP-C02 Prüfungsfragen mit Lösungen (Q360-Q365):

360. Frage
A DevOps team is merging code revisions for an application that uses an Amazon RDS Multi-AZ DB cluster for its production database. The DevOps team uses continuous integration to periodically verify that the application works. The DevOps team needs to test the changes before the changes are deployed to the production database.
Which solution will meet these requirements'?

A. Create a snapshot of the DB duster before deploying the application Use the Update requires Replacement property on the DB instance in AWS CloudFormation to deploy the application and apply the changes.
B. Ensure that the DB cluster is a Multi-AZ deployment. Deploy the application with the updates. Fail over to the standby instance if verification fails.
C. Deploy the application to production. Configure an audit log of data control language (DCL) operations to capture database activities to perform if verification fails.
D. Use a buildspec file in AWS CodeBuild to restore the DB cluster from a snapshot of the production database run integration tests, and drop the restored database after verification.

Antwort: D

Begründung:
This solution will meet the requirements because it will create a temporary copy of the production database using a snapshot, run the integration tests on the copy, and delete the copy after the tests are done. This way, the production database will not be affected by the code revisions, and the DevOps team can test the changes before deploying them to production. A buildspec file is a YAML file that contains the commands and settings that CodeBuild uses to run a build1. The buildspec file can specify the steps to restore the DB cluster from a snapshot, run the integration tests, and drop the restored database2

361. Frage
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?

A. Use an AWS::CodeDeploy::DeploymentConfig resource. Define a TimeBasedCanary configuration.
Specify values for percentage and minutes for traffic shifting.
B. Use an AWS::Lambda::Alias resource with the RoutingConfig property to specify weights for gradual traffic shifting between the Lambda function versions.
C. 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.
D. Use an AWS::CodeDeploy::DeploymentGroup resource. Define the DeploymentStyle property as BLUE_GREEN. Configure the TrafficRoutingConfig data type for linear traffic shifting.

Antwort: B

Begründung:
For gradual traffic shifting in Lambda deployments, AWS Lambda aliases support the RoutingConfig property, which specifies the percentage of traffic routed to different versions of the Lambda function. This enables weighted traffic shifting between versions as part of deployment strategies.
* The AWS::Lambda::Alias resource's RoutingConfig can specify multiple versions with weights, enabling canary or linear deployment strategies without needing CodeDeploy resources explicitly.
* AWS CodeDeploy resources like DeploymentConfig and DeploymentGroup are used primarily for blue
/green deployments and managing deployment strategies outside Lambda aliases.
* Lambda versions themselves do not have a VersionWeight property; instead, weighted routing is managed via aliases.
Reference:
AWS::Lambda::Alias - RoutingConfig: " Specifies the versions of the function and the percentage of traffic to send to each version. " (AWS CloudFormation Lambda Alias) AWS Lambda Deployment Preferences: " Weighted aliases enable gradual traffic shifting between Lambda function versions. " (AWS Lambda Deployment Preferences)

362. Frage
A developer is using the AWS Serverless Application Model (AWS SAM) to create a prototype for an AWS Lambda function. The AWS SAM template contains an AWS::Serverless::Function resource that has the CodeUri property pointing to an Amazon S3 location. The developer wants to identify the correct commands for deployment before creating a CI/CD pipeline.
The developer creates an archive of the Lambda function code named package.zip, uploads the .zip file archive to the S3 location specified in the CodeUri property, and runs the sam deploy command to deploy the Lambda function. The developer updates the Lambda function code and uses the same steps to deploy the new version. The sam deploy command fails and returns an error of " no changes to deploy. " Which solutions will deploy the new version? (Select TWO.)

A. Use the aws cloudformation update-stack command instead of the sam deploy command.
B. Update the CodeUri property to reference the local application code folder. Use the aws cloudformation package command and the aws cloudformation deploy command.
C. Update the CodeUri property to reference the local application code folder. Use the sam deploy command.
D. Update the CodeUri property to reference the local application code folder. Use the aws cloudformation create-change-set command and the aws cloudformation execute-change-set command.
E. Use the aws cloudformation update-stack-instances command instead of the sam deploy command.

Antwort: B,C

Begründung:
When the CodeUri property points directly to a static S3 object path, AWS CloudFormation detects no template changes between deployments because the S3 URI remains identical even after you upload updated code to the same key. The solution is to reference local source code so that SAM or CloudFormation can compute a content hash, upload the artifact with a unique S3 key, and update the template, creating a detectable change. Option C works because sam deploy with a local CodeUri path automatically packages the function, uploads it to S3 with a hash-derived key, and deploys the updated stack. Option E works for the same reason: aws cloudformation package computes the hash, uploads the artifact, and produces a packaged template that aws cloudformation deploy can then apply. Options A and B do not resolve the root cause and are not designed for SAM Lambda packaging.

363. Frage
A company has an application that includes AWS Lambda functions. The Lambda functions run Python code that is stored in an AWS CodeCommit repository. The company has recently experienced failures in the production environment because of an error in the Python code. An engineer has written unit tests for the Lambda functions to help avoid releasing any future defects into the production environment.
The company's DevOps team needs to implement a solution to integrate the unit tests into an existing AWS CodePipeline pipeline. The solution must produce reports about the unit tests for the company to view.
Which solution will meet these requirements?

A. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a CodeBuild report group. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of JUNITXML in the build phase section. Configure the test reports to be uploaded to the new CodeBuild report group.
B. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a new Amazon S3 bucket. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run the unit tests with an output of HTML in the phases section. In the reports section, upload the test reports to the S3 bucket.
C. Create a new AWS CodeArtifact repository. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create an appspec.yml file in the original CodeCommit repository. In the appspec.yml file, define the actions to run the unit tests with an output of CUCUMBERJSON in the build phase section. Configure the tests reports to be sent to the new CodeArtifact repository.
D. Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Create a new AWS CodeBuild project. In the CodePipeline pipeline, configure a test stage that uses the new CodeBuild project. Create a buildspec.yml file in the CodeCommit repository. In the buildspec.yml file, define the actions to run a CodeGuru review.

Antwort: A

Begründung:
The correct answer is B. Creating a new AWS CodeBuild project and configuring a test stage in the AWS CodePipeline pipeline that uses the new CodeBuild project is the best way to integrate the unit tests into the existing pipeline. Creating a CodeBuild report group and uploading the test reports to the new CodeBuild report group will produce reports about the unit tests for the company to view. Using JUNITXML as the output format for the unit tests is supported by CodeBuild and will generate a valid report.
Option A is incorrect because Amazon CodeGuru Reviewer is a service that provides automated code reviews and recommendations for improving code quality and performance. It is not a tool for running unit tests or producing test reports. Therefore, option A will not meet the requirements.
Option C is incorrect because AWS CodeArtifact is a service that provides secure, scalable, and cost-effective artifact management for software development. It is not a tool for running unit tests or producing test reports.
Moreover, option C uses CUCUMBERJSON as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.
Option D is incorrect because uploading the test reports to an Amazon S3 bucket is not the best way to produce reports about the unit tests for the company to view. CodeBuild has a built-in feature to create and manage test reports, which is more convenient and efficient than using S3. Furthermore, option D uses HTML as the output format for the unit tests, which is not supported by CodeBuild and will not generate a valid report.

364. Frage
A company deploys updates to its Amazon API Gateway API several times a week by using an AWS CodePipeline pipeline. As part of the update process the company exports the JavaScript SDK for the API from the API. Gateway console and uploads the SDK to an Amazon S3 bucket The company has configured an Amazon CloudFront distribution that uses the S3 bucket as an origin Web client then download the SDK by using the CloudFront distribution ' s endpoint. A DevOps engineer needs to implement a solution to make the new SDK available automatically during new API deployments.
Which solution will meet these requirements?

A. Create a CodePipeline action immediately after the deployment stage of the API. Configure the action to invoke an AWS Lambda function. Configure the Lambda function to download the SDK from API Gateway, upload the SDK to the S3 bucket and create a CloudFront invalidation for the SDK path.
B. Create an Amazon EventBridge rule that reacts to UpdateStage events from aws apigateway Configure the rule to invoke an AWS Lambda function to download the SDK from API Gateway upload the SDK to the S3 bucket and call the CloudFront API to create an invalidation for the SDK path.
C. Create an Amazon EventBridge rule that reacts to Create. Deployment events from aws apigateway.
Configure the rule to invoke an AWS Lambda function to download the SDK from API. Gateway upload the SDK to the S3 bucket and call the S3 API to invalidate the cache for the SDK path.
D. Create a CodePipeline action immediately after the deployment stage of the API Configure the action to use the CodePipelme integration with API. Gateway to export the SDK to Amazon S3 Create another action that uses the CodePipeline integration with Amazon S3 to invalidate the cache for the SDK path.

Antwort: A

Begründung:
This solution would allow the company to automate the process of updating the SDK and making it available to web clients. By adding a CodePipeline action immediately after the deployment stage of the API, the Lambda function will be invoked automatically each time the API is updated. The Lambda function should be able to download the new SDK from API Gateway, upload it to the S3 bucket and also create a CloudFront invalidation for the SDK path so that the latest version of the SDK is available for the web clients. This is the most straight forward solution and it will meet the requirements.

365. Frage
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