DVA-C02試験の準備方法｜権威のあるDVA-C02日本語版と英語版試験｜ハイパスレートのAWS Certified Developer - Associate的中関連問題

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Amazon DVA-C02 (AWS Certified Developer - Associate) Examは、Amazon Web Services（AWS）プラットフォームの認定開発者になりたいと考えている個人向けに設計された認定試験です。この試験は、AWS上でアプリケーションを開発およびメンテナンスする経験がある個人、およびAWSサービスおよびアーキテクチャについて堅固な理解を持っている個人を対象としています。DVA-C02試験は、AWSサービスおよびツールを使用してクラウドベースのソリューションを設計、開発、展開する能力を個人が検証します。

Amazon DVA-C02（AWS Certified Developer - Associate）試験は、Amazon Web Services（AWS）プラットフォーム上でアプリケーションを開発および展開する専門知識を証明したい個人向けに設計された認定試験です。この認定は、Python、Java、およびRubyなどのプログラミング言語の経験を持ち、AWSサービスを使用してアプリケーションを構築、展開、および管理することを目指す開発者に最適です。

>> DVA-C02日本語版と英語版 <<

DVA-C02的中関連問題、DVA-C02必殺問題集

Topexamはその近道を提供し、君の多くの時間と労力も節約します。TopexamはAmazonのDVA-C02認定試験「AWS Certified Developer - Associate」に向けてもっともよい問題集を研究しています。もしほかのホームページに弊社みたいな問題集を見れば、あとでみ続けて、弊社の商品を盗作することとよくわかります。Topexamが提供した資料は最も全面的で、しかも更新の最も速いです。

Amazon DVA-C02 認定試験に備えて、候補者はAWSが提供する様々なコースやトレーニングプログラムを受講することができます。また、練習問題、学習ガイド、ホワイトペーパーなどのオンラインリソースを活用して試験の準備をすることもできます。この試験は複数選択肢の問題から構成され、複数の言語で受験が可能です。

Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q357-Q362):

質問 # 357
A company has a serverless application that uses Amazon API Gateway and AWS Lambda functions to expose a RESTful API. The company uses a continuous integration and continuous delivery (CI/CD) workflow to deploy the application to multiple environments. The company wants to implement automated integration tests after deployment.
A developer needs to set up the necessary infrastructure and processes to automate the deployment and integration tests for the serverless application.
Which solution will meet these requirements?

A. Configure API Gateway stages to represent each application environment. Use AWS SAM templates to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
B. Configure API Gateway stages to represent each application environment. Use AWS CloudFormation to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
C. Use AWS CodePipeline to create a CI/CD pipeline. Configure API Gateway stages to represent each application environment. Use AWS CloudFormation templates to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
D. Use AWS CloudFormation to create and deploy the application infrastructure in each application environment. Use the AWS CLI to invoke Lambda functions to perform deployment tests after each deployment.

正解：C

解説：
AWS CodePipeline automates the entire CI/CD pipeline, including build, deploy, and test stages.
This minimizes manual effort and integrates well with AWS services. API Gateway Stages:
Represent different environments, such as dev, test, and prod, allowing isolated deployment and testing.
AWS CloudFormation Templates: Ensure that the infrastructure for Lambda and API Gateway is consistent across environments.
AWS CodeBuild for Automated Tests: Validates the deployments in each stage, ensuring integration and functionality are tested post-deployment.

質問 # 358
A company's development team uses an SSH key pair to copy files among a large fleet of development servers. The SSH key pair has been compromised. A developer has generated a replacement key pair. The company has deployed the AWS Systems Manager Agent (SSM Agent) and the Amazon CloudWatch agent on all of the development servers.
The developer needs a solution to distribute the new key to all the Linux servers.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Upload the new SSH key pair to AWS Systems Manager Parameter Store. Make each key a new parameter. Grant the team members permissions to download the parameters into the appropriate directory of each server.
B. Upload the new SSH key pair to AWS Secrets Manager as a new secret. Grant the team members permissions to download the secret into the appropriate directory of each server.
C. Create an Amazon S3 bucket. Store the public key in the root of the S3 bucket. Log in to each server.
Copy the private key from the S3 bucket to the appropriate directory of each server.
D. Create an Amazon S3 bucket. Store the public key in the root of the S3 bucket. Create a script to copy the private key from the S3 bucket to the appropriate directory of each server. Use Systems Manager Run Command to run the script on all Linux servers.

正解：D

解説：
The company already has SSM Agent deployed on all servers, which enables centralized, scalable fleet operations without logging in to each instance. The most operationally efficient solution is to automate key distribution using Systems Manager Run Command, executing a script across the entire fleet (or a targeted subset) in one action.
Option B uses S3 as a simple distribution source and Run Command to perform the update at scale. The developer can store the required key material in a controlled S3 location and write a script that places the key in the correct filesystem path (with correct permissions/ownership), updates authorized_keys if needed, and restarts any services if required. Run Command can target instances by tags, resource groups, or instance IDs and provides execution logging and status.
Option A is not operationally efficient because it requires logging into each server manually.
Option C and D push the distribution burden to humans ("grant team members permissions to download"), which is error-prone, slow, and not scalable. Also, distributing private keys broadly to individuals increases risk.

質問 # 359
A developer wants to insert a record into an Amazon DynamoDB table as soon as a new file is added to an Amazon S3 bucket.
Which set of steps would be necessary to achieve this?

A. Create an AWS Lambda function that will poll the S3 bucket and then insert the records into DynamoDB.
B. Create a cron job that will run at a scheduled time and insert the records into DynamoDB.
C. Configure an S3 event to invoke an AWS Lambda function that inserts records into DynamoDB.
D. Create an event with Amazon EventBridge that will monitor the S3 bucket and then insert the records into DynamoDB.

正解：C

解説：
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. AWS Lambda is a service that lets developers run code without provisioning or managing servers.
The developer can configure an S3 event to invoke a Lambda function that inserts records into DynamoDB whenever a new file is added to the S3 bucket. This solution will meet the requirement of inserting a record into DynamoDB as soon as a new file is added to S3.
References:
* [Amazon Simple Storage Service (S3)]
* [Amazon DynamoDB]
* [What Is AWS Lambda? - AWS Lambda]
* [Using AWS Lambda with Amazon S3 - AWS Lambda]

質問 # 360
A developer is building an application to process a stream of customer orders. The application sends processed orders to an Amazon Aurora MySQL database. The application needs to process the orders in batches.
The developer needs to configure a workflow that ensures each record is processed before the application sends each order to the database.
Options:

A. Use Amazon SQS to stream the orders. Use an AWS Lambda function to process the orders. Configure an event source mapping for the Lambda function, and set the MaximumBatchingWindowInSeconds setting to 0.
B. Use Amazon Kinesis Data Streams to stream the orders. Use an AWS Lambda function to process the orders. Configure an event source mapping for the Lambda function, and set the MaximumBatchingWindowInSeconds setting to 300.
C. Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) to stream the orders. Use an Amazon EC2 instance to process the orders. Configure an event source mapping for the EC2 instance, and increase the payload size limit to 36 MB.
D. Use Amazon DynamoDB Streams to stream the orders. Use an Amazon ECS cluster on AWS Fargate to process the orders. Configure an event source mapping for the cluster, and set the BatchSize setting to 1.

正解：B

解説：
Step 1: Understanding the Problem
Processing in Batches: The application must process records in groups.
Sequential Processing: Each record in the batch must be processed before writing to Aurora.
Solution Goals: Use services that support ordered, batched processing and integrate with Aurora.
Step 2: Solution Analysis
Option A:
Amazon Kinesis Data Streams supports ordered data processing.
AWS Lambda can process batches of records via event source mapping with MaximumBatchingWindowInSeconds for timing control.
Configuring the batching window ensures efficient processing and compliance with the workflow.
Correct Option.
Option B:
Amazon SQS is not designed for streaming; it provides reliable, unordered message delivery.
Setting MaximumBatchingWindowInSeconds to 0 disables batching, which is contrary to the requirement.
Not suitable.
Option C:
Amazon MSK provides Kafka-based streaming but requires custom EC2-based processing.
This increases system complexity and operational overhead.
Not ideal for serverless requirements.
Option D:
DynamoDB Streams is event-driven but lacks strong native integration for batch ordering.
Using ECS adds unnecessary complexity.
Not suitable.
Step 3: Implementation Steps for Option A
Set up Kinesis Data Stream:
Configure shards based on the expected throughput.
Configure Lambda with Event Source Mapping:
Enable Kinesis as the event source for Lambda.
Set MaximumBatchingWindowInSeconds to 300 to accumulate data for processing.
Example:
{
"EventSourceArn": "arn:aws:kinesis:region:account-id:stream/stream-name",
"BatchSize": 100,
"MaximumBatchingWindowInSeconds": 300
}
Write Processed Data to Aurora:
Use AWS RDS Data API for efficient database operations from Lambda.
AWS Developer Reference:
Amazon Kinesis Data Streams Developer Guide
AWS Lambda Event Source Mapping
Batch Processing with Lambda

質問 # 361
A developer wants to add request validation to a production environment Amazon API Gateway API. The developer needs to test the changes before the API is deployed to the production environment. For the test, the developer will send test requests to the API through a testing tool.
Which solution will meet these requirements with the LEAST operational overhead?

A. Clone the existing API. Modify the new API to add request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.
B. Modify the existing API to add request validation. Deploy the updated API to a new API Gateway stage.
Perform the tests. Deploy the updated API to the API Gateway production stage.
C. Create a new API. Add the necessary resources and methods, including new request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.
D. Export the existing API to an OpenAPI file. Create a new API. Import the OpenAPI file. Modify the new API to add request validation. Perform the tests. Modify the existing API to add request validation.
Deploy the existing API to production.

正解：B

解説：
Explanation
Amazon API Gateway allows you to create, deploy, and manage a RESTful API to expose backend HTTP endpoints, AWS Lambda functions, or other AWS services1. You can use API Gateway to perform basic validation of an API request before proceeding with the integration request1. When the validation fails, API Gateway immediately fails the request, returns a 400 error response to the caller, and publishes the validation results in CloudWatch Logs1.
To test changes before deploying to a production environment, you can modify the existing API to add request validation and deploy the updated API to a new API Gateway stage1. This allows you to perform tests without affecting the production environment. Once testing is complete and successful, you can then deploy the updated API to the API Gateway production stage1.
This approach has the least operational overhead as it avoids unnecessary creation of new APIs or exporting and importing of APIs. It leverages the existing infrastructure and only requires changes in the configuration of the existing API1.

質問 # 362
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DVA-C02的中関連問題: https://www.topexam.jp/DVA-C02_shiken.html

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