成功の楽園にどうやって行きますか。ショートカットは一つしかないです。それはGoShikenのAmazonのDVA-C02試験トレーニング資料を利用することです。これは全てのIT認証試験を受ける受験生のアドバイスです。GoShikenのトレーニング資料を手に入れたら、あなたは成功への鍵を握るようになります。
DVA-C02試験では、計算、ストレージ、データベース、ネットワーキング、セキュリティ、アプリケーション統合など、幅広いAWSサービスをカバーしています。候補者は、回復力があり、スケーラブルで、費用対効果の高いアプリケーションを設計および展開するためのAWSサービスとベストプラクティスについて確実に理解することが期待されています。この試験は、65の複数選択と複数の反応の質問で構成されており、候補者はそれを完了するのに130分かかります。
DVA-C02難易度、DVA-C02試験準備
GoShiken市場調査によると、DVA-C02試験の準備をしている多くの人が、試験に関する最新情報を入手したいことがわかっています。 すべての候補者の要件を満たすために、私たちはあなたを助けるためにそのような高品質のDVA-C02学習資料をまとめました。 当社Amazonの製品はお客様にとって非常に便利であり、DVA-C02試験問題よりも優れたAWS Certified Developer - Associate教材を見つけることはできないと考えられています。 私たちの学習教材を学ぶために数時間を費やすつもりなら、短時間で試験に合格します。 次に、DVA-C02テストの質問を紹介します。
DVA-C02試験では、AWSコアサービス、AWSセキュリティ、サーバーレスアプリケーション、AWSサービスの展開と管理など、AWS開発のさまざまな側面における候補者の知識を測定します。この試験は、65の複数選択と複数の反応の質問で構成されており、候補者は試験を完了するために130分かかります。
Amazon DVA-C02試験は、AWS開発に関連するさまざまなトピックをカバーしており、EC2、S3、RDSなどのAWSコアサービス、AWS Lambda、Amazon API Gateway、AWS Elastic Beanstalkなどのアプリケーションサービスに加えて、セキュリティ、AWS上でアプリケーションを開発するためのベストプラクティス、一般的な問題のトラブルシューティングに関連するトピックもカバーしています。試験は、多肢選択問題で構成され、受験者は130分で試験を完了する必要があります。
Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q329-Q334):
質問 # 329
A developer is investigating an issue in part of a company's application. In the application messages are sent to an Amazon Simple Queue Service (Amazon SQS) queue The AWS Lambda function polls messages from the SQS queue and sends email messages by using Amazon Simple Email Service (Amazon SES) Users have been receiving duplicate email messages during periods of high traffic.
Which reasons could explain the duplicate email messages? (Select TWO.)
- A. The Amazon SES bounce rate metric is too high.
- B. Standard SQS queues support exactly-once processing, so the duplicate email messages are because of user error.
- C. Amazon SES has the DomainKeys Identified Mail (DKIM) authentication incorrectly configured
- D. Standard SQS queues support at-least-once message delivery
- E. The SQS queue's visibility timeout is lower than or the same as the Lambda function's timeout.
正解:D、E
解説:
Explanation
Standard SQS queues support at-least-once message delivery, which means that a message can be delivered more than once to the same or different consumers. This can happen if the message is not deleted from the queue before the visibility timeout expires, or if there is a network issue or a system failure. The SQS queue's visibility timeout is the period of time that a message is invisible to other consumers after it is received by one consumer. If the visibility timeout is lower than or the same as the Lambda function's timeout, the Lambda function might not be able to process and delete the message before it becomes visible again, leading to duplicate processing and email messages. To avoid this, the visibility timeout should be set to at least 6 times the length of the Lambda function's timeout. The other options are not related to the issue of duplicate email messages. References
* Using the Amazon SQS message deduplication ID
* Exactly-once processing - Amazon Simple Queue Service
* Amazon SQS duplicated messages in queue - Stack Overflow
* amazon web services - How long can duplicate SQS messages persist ...
* Standard SQS - Duplicate message | AWS re:Post - Amazon Web Services, Inc.
質問 # 330
A developer is creating a serverless application that uses an AWS Lambda function. The developer will use AWS CloudFormation to deploy the application. The application will write logs to Amazon CloudWatch Logs. The developer has created a log group in a CloudFormation template for the application to use. The developer needs to modify the CloudFormation template to make the name of the log group available to the application at runtime.
Which solution will meet this requirement?
- A. Pass the log group's name to the application in the user data section of the CloudFormation template.
- B. Use the AWS::Include transform in CloudFormation to provide the log group's name to the application.
- C. Use the CloudFormation template's Mappings section to specify the log group's name for the application.
- D. Pass the log group's Amazon Resource Name (ARN) as an environment variable to the Lambda function.
正解:C
質問 # 331
A developer is troubleshooting an application mat uses Amazon DynamoDB in the uswest-2 Region. The application is deployed to an Amazon EC2 instance. The application requires read-only permissions to a table that is named Cars The EC2 instance has an attached IAM role that contains the following IAM policy.
When the application tries to read from the Cars table, an Access Denied error occurs.
How can the developer resolve this error?
- A. Modify the IAM policy resource to be "arn aws dynamo* us-west-2 account-id table/*"
- B. Create a trust relationship between the role and dynamodb Amazonas com.
- C. Create a trust policy that specifies the EC2 service principal. Associate the role with the policy.
- D. Modify the IAM policy to include the dynamodb * action
正解:C
解説:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/access-control-overview.html#access-con
質問 # 332
A developer is storing sensitive data generated by an application in Amazon S3. The developer wants to encrypt the data at rest. A company policy requires an audit trail of when the AWS Key Management Service (AWS KMS) key was used and by whom.
Which encryption option will meet these requirements?
- A. Server-side encryption with Amazon S3 managed keys (SSE-S3)
- B. Server-side encryption with self-managed keys
- C. Server-side encryption with AWS KMS managed keys (SSE-KMS}
- D. Server-side encryption with customer-provided keys (SSE-C)
正解:C
解説:
Explanation
This solution meets the requirements because it encrypts data at rest using AWS KMS keys and provides an audit trail of when and by whom they were used. Server-side encryption with AWS KMS managed keys (SSE-KMS) is a feature of Amazon S3 that encrypts data using keys that are managed by AWS KMS. When SSE-KMS is enabled for an S3 bucket or object, S3 requests AWS KMS to generate data keys and encrypts data using these keys. AWS KMS logs every use of its keys in AWS CloudTrail, which records all API calls to AWS KMS as events. These events include information such as who made the request, when it was made, and which key was used. The company policy can use CloudTrail logs to audit critical events related to their data encryption and access. Server-side encryption with Amazon S3 managed keys (SSE-S3) also encrypts data at rest using keys that are managed by S3, but does not provide an audit trail of key usage. Server-side encryption with customer-provided keys (SSE-C) and server-side encryption with self-managed keys also encrypt data at rest using keys that are provided or managed by customers, but do not provide an audit trail of key usage and require additional overhead for key management.
質問 # 333
A company needs to harden its container images before the images are in a running state. The company's application uses Amazon Elastic Container Registry (Amazon ECR) as an image registry. Amazon Elastic Kubernetes Service (Amazon EKS) for compute, and an AWS CodePipeline pipeline that orchestrates a continuous integration and continuous delivery (CI/CD) workflow. Dynamic application security testing occurs in the final stage of the pipeline after a new image is deployed to a development namespace in the EKS cluster. A developer needs to place an analysis stage before this deployment to analyze the container image earlier in the CI/CD pipeline. Which solution will meet these requirements with the MOST operational efficiency?
- A. Build the container image and run the docker scan command locally. Mitigate any findings before pushing changes to the source code repository. Write a pre-commit hook that enforces the use of this workflow before commit.
- B. Create a new CodePipeline stage that occurs after the container image is built. Configure ECR basic image scanning to scan on image push. Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings.
- C. Create a new CodePipeline stage that occurs after source code has been retrieved from its repository. Run a security scanner on the latest revision of the source code. Fail the pipeline if there are findings.
- D. Add an action to the deployment stage of the pipeline so that the action occurs before the deployment to the EKS cluster. Configure ECR basic image scanning to scan on image push.Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings.
正解:B
解説:
https://docs.aws.amazon.com/AmazonECR/latest/userguide/image-scanning-basic.html The below blog post refers to the solution using Amazon Inspector and ECS, but the architecture is almost same as required in this scenario. The built in image scanning in Amazon ECR provides a simpler solution.
https://aws.amazon.com/blogs/security/use-amazon-inspector-to-manage-your-build-and-deploy- pipelines-for-containerized-applications/
質問 # 334
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