高品質DVA-C02試験勉強過去問 &資格試験におけるリーダーオファー &有効的なDVA-C02: AWS Certified Developer - Associate

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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- Implement CI/CD pipelines 1. Automate deployment and testing workflows 2. Use AWS CodePipeline, CodeBuild, CodeDeploy - Prepare application artifacts for deployment 1. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM) - Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks
Topic 2: Troubleshooting and Optimization	18%	- Debug and resolve errors 1. Resolve integration and configuration problems 2. Identify and fix code defects - Troubleshoot application issues 1. Analyze logs, metrics, and traces 2. Use Amazon CloudWatch, AWS X-Ray for monitoring - Optimize application performance 1. Improve latency and throughput 2. Optimize resource usage and costs
Topic 3: Security	26%	- Apply security best practices 1. Validate application security configurations 2. Follow AWS Well-Architected Framework security principles - Secure application data 1. Manage secrets and credentials securely 2. Implement encryption at rest and in transit - Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management
Topic 4: Development with AWS Services	32%	- Interact with AWS data services 1. Work with Amazon DynamoDB, Amazon S3 2. Implement caching and data storage strategies - Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows - Write code for applications hosted on AWS 1. Develop serverless applications 2. Use AWS SDKs and APIs 3. Implement architectural patterns

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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q799-Q804):

質問 # 799
A developer is trying get data from an Amazon DynamoDB table called demoman-table. The developer configured the AWS CLI to use a specific IAM use's credentials and ran the following command.

The command returned errors and no rows were returned.
What is the MOST likely cause of these issues?

A. The IAM user needs an associated policy with read access to demoman-table
B. The developer needs to log a ticket with AWS Support to enable access to the demoman-table
C. Amazon DynamoOB cannot be accessed from the AWS CLI and needs to called via the REST API
D. The command is incorrect; it should be rewritten to use put-item with a string argument

正解：A

解説：
Explanation
This solution will most likely solve the issues because it will grant the IAM user the necessary permission to access the DynamoDB table using the AWS CLI command. The error message indicates that the IAM user does not have sufficient access rights to perform the scan operation on the table. Option A is not optimal because it will change the command to use put-item instead of scan, which will not achieve the desired result of getting data from the table. Option B is not optimal because it will involve contacting AWS Support, which may not be necessary or efficient for this issue. Option C is not optimal because it will state that DynamoDB cannot be accessed from the AWS CLI, which is incorrect as DynamoDB supports AWS CLI commands.
References: AWS CLI for DynamoDB, [IAM Policies for DynamoDB]

質問 # 800
A team of developed is using an AWS CodePipeline pipeline as a continuous integration and continuous delivery (CI/CD) mechanism for a web application. A developer has written unit tests to programmatically test the functionality of the application code. The unit tests produce a test report that shows the results of each individual check. The developer now wants to run these tests automatically during the CI/CD process.

A. Write a Git pre-commit hook that runs the test before every commit. Ensure that each developer who is working on the project has the pre-commit hook instated locally. Review the test report and resolve any issues before pushing changes to AWS CodeCommit.
B. Add a new stage to the pipeline. Use AWS CodeBuild at the provider. Add the new stage before the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage it any test does not pass. Use the test reports feature of CodeBuild to integrate the report with the CodeBuild console. View the test results in codeBuild Resolve any issues.
C. Add a new stage to the pipeline. Use Jenkins as the provider. Configure CodePipeline to use Jenkins to run the unit tests. Write a Jenkinsfile that fails the stage if any test does not pass. Use the test report plugin for Jenkins to integrate the repot with the Jenkins dashboard. View the test results in Jenkins.Resolve any issues.
D. Add a new stage to the pipeline. Use AWS CodeBuild as the provider. Add the new stage after the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage if any test does not pass. Use the test reports feature of Codebuild to integrate the report with the CodoBuild console. View the test results in CodeBuild Resolve any issues.

正解：B

解説：
Explanation
The solution that will meet the requirements is to add a new stage to the pipeline. Use AWS CodeBuild as the provider. Add the new stage before the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage if any test does not pass. Use the test reports feature of CodeBuild to integrate the report with the CodeBuild console. View the test results in CodeBuild. Resolve any issues. This way, the developer can run the unit tests automatically during the CI/CD process and catch any bugs before deploying to the test environment. The developer can also use the test reports feature of CodeBuild to view and analyze the test results in a graphical interface. The other options either involve running the tests manually, running them after deployment, or using a different provider that requires additional configuration and integration.

質問 # 801
A developer is working on a serverless application that needs to process any changes to an Amazon DynamoDB table with an AWS Lambda function.
How should the developer configure the Lambda function to detect changes to the DynamoDB table?

A. Create an Amazon EventBridge rule to invoke the Lambda function on a regular schedule. Conned to the DynamoDB table from the Lambda function to detect changes.
B. Create an Amazon Kinesis Data Firehose delivery stream, and attach it to the DynamoDB table. Configure the delivery stream destination as the Lambda function.
C. Enable DynamoDB Streams on the table. Create a trigger to connect the DynamoDB stream to the Lambda function.
D. Create an Amazon Kinesis data stream, and attach it to the DynamoDB table. Create a trigger to connect the data stream to the Lambda function.

正解：C

解説：
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. DynamoDB Streams is a feature that captures data modification events in DynamoDB tables. The developer can enable DynamoDB Streams on the table and create a trigger to connect the DynamoDB stream to the Lambda function. This solution will enable the Lambda function to detect changes to the DynamoDB table in near real time.
Reference:
[Amazon DynamoDB]
[DynamoDB Streams - Amazon DynamoDB]
[Using AWS Lambda with Amazon DynamoDB - AWS Lambda]

質問 # 802
A company is concerned that a malicious user could deploy unauthorized changes to the code for an AWS Lambda function. What can a developer do to ensure that only trusted code is deployed to Lambda?

A. Set the KmsKeyArn property of the Lambda function to the Amazon Resource Name (ARN) of a trusted key before deploying the package to Lambda.
B. Link Lambda to AWS KMS in the Lambda console. Use AWS KMS to digitally sign the Lambda package before deploying the package to Lambda.
C. Define the code signing configuration in the Lambda console. Use AWS Signer to digitally sign the Lambda package before deploying the package to Lambda.
D. Turn on the trusted code option in AWS CodeDeploy. Add the CodeDeploy digital certificate to the Lambda package before deploying the package to Lambda.

正解：C

解説：
Requirement Summary:
* Prevent unauthorized code changes in AWS Lambda
* Ensure only trusted code is deployed
AWS Lambda supports Code Signing:
* You can configure code signing in Lambda using AWS Signer
* Packages must be digitally signed and verified against the signing profile
* Rejects unauthorized/modified packages automatically
Evaluate Options:
A). Trusted code option in CodeDeploy
* No such feature exists for Lambda
* CodeDeploy is more for EC2/On-Prem/Containers, not Lambda code signing B). Define code signing config + use AWS Signer
* This is exactly how AWS enforces trusted code deployment
* Attach a code signing configuration to the Lambda function
* Use AWS Signer to digitally sign deployment packages
C). Link to KMS to sign code
* KMS is not used to sign Lambda packages
* KMS is for data encryption, not application code integrity
D). Set KmsKeyArn
* This configures data encryption, not code signing
* Lambda code signing: https://docs.aws.amazon.com/lambda/latest/dg/configuration-codesigning.html
* AWS Signer overview: https://docs.aws.amazon.com/signer/latest/developerguide/what-is-signer.html

質問 # 803
A company has an AWS Step Functions state machine named myStateMachine.
The company configured a service role for Step Functions.
The developer must ensure that only the myStateMachine state machine can assume the service role.

A. "Condition": { "ArnLike": { "aws
B. ":"arn:aws:states:ap-south-1:111111111111:stateMachine
" } }
B. "Condition": { "ArnLike": { "aws
":"arn:aws:states:ap-south-1:*:stateMachine
" } }

正解：A、B

解説：
Comprehensive Detailed Step by Step Explanation with All AWS Developer Reference:
To ensure that only a specific AWS Step Functions state machine (myStateMachine) can assume the service role, you must configure the correct trust policy in AWS IAM.
Trust Policies: Trust policies determine which entities (services or users) are allowed to assume the role. In this case, we want to restrict the trust policy to only allow the specific state machine (myStateMachine) to assume the role.
Using ArnLike: The condition "ArnLike" is used to specify that the SourceArn (which refers to the ARN of the entity assuming the role) must match a specific ARN. Option A specifies the exact ARN of the myStateMachine state machine, ensuring that only this state machine can assume the role.
Option B: This option is incorrect because it uses a wildcard (*) for the account ID, which would allow any state machine in the ap-south-1 region to assume the role, not just the specific one.
Reference:
AWS Step Functions IAM Policies

質問 # 804
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