DVA-C02日本語版受験参考書、DVA-C02資格復習テキスト

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Amazon DVA-C02 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified Developer - Associate
Exam Number:	DVA-C02
Exam Price:	150 USD
Related Certifications:	AWS Certified DevOps Engineer - Professional AWS Certified Cloud Practitioner
Passing Score:	720 (scaled score of 100–1,000)
Real Exam Qty:	65 (50 scored, 15 unscored)
Exam Duration:	130 minutes
Available Languages:	Simplified Chinese, Japanese, Spanish (Latin America), Korean, Portuguese (Brazil), English
Certificate Validity Period:	3 years
Exam Format:	Multiple choice, Multiple response
Sample Questions:	Amazon DVA-C02 Sample Questions
Exam Way:	Pearson VUE testing center or online proctored exam
Pre Condition:	Recommended 1 or more years of hands-on experience in developing and maintaining applications using AWS services. Proficiency in at least one high-level programming language.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-developer-associate/

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Amazon DVA-C02 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Development with AWS Services: In this topic, AWS developers gain expertise in writing and managing code for applications hosted on AWS, including leveraging AWS Lambda for serverless architectures. The focus also includes using data stores effectively in application development. The topic sharpens skills in cloud-native application development, aligning with the requirements of scalable, efficient systems.
トピック 2	Deployment: AWS developers learn to prepare application artifacts for deployment, conduct rigorous testing in development environments, and automate deployment testing workflows. This topic also introduces the use of AWS CI CD services for efficient code deployment. The knowledge ensures effective application lifecycle management in production environments.
トピック 3	Security: This topic empowers AWS developers to implement robust authentication and authorization mechanisms for applications and AWS services. It also highlights best practices in applying encryption using AWS tools and securely managing sensitive data within application code. Developers enhance their ability to create secure, compliant applications in the AWS ecosystem.
トピック 4	Troubleshooting and Optimization:This topic prepares AWS developers to assist in root cause analysis, integrate observability into their code with instrumentation, and optimize applications using AWS services and features. Mastery of these skills ensures developers can maintain and enhance application performance and reliability efficiently.

Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q17-Q22):

質問 # 17
A developer has created an AWS Lambda function that is written in Python. The Lambda function reads data from objects in Amazon S3 and writes data to an Amazon DynamoDB table. The function is successfully invoked from an S3 event notification when an object is created. However, the function fails when it attempts to write to the DynamoDB table.
What is the MOST likely cause of this issue?

A. DynamoDB table requires a global secondary index (GSI) to support writes.
B. The Lambda function does not have IAM permissions to write to DynamoDB.
C. The DynamoDB table is not running in the same Availability Zone as the Lambda function.
D. The Lambda function's concurrency limit has been exceeded.

正解：B

解説：
https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_examples_lambda-access-dynamodb.html

質問 # 18
A team deploys an AWS CloudFormation template to update a stack that already included an Amazon DynamoDB table. However, before the deployment of the update, the team changed the name of the DynamoDB table on the template by mistake. The DeletionPolicy attribute for all resources has the default value.
What will be the result of this mistake?

A. CloudFormation will create a new table and will keep the existing table.
B. CloudFormation will create a new table and will delete the existing table.
C. CloudFormation will keep the existing table and will not create a new table.
D. CloudFormation will overwrite the existing table and will rename the existing table.

正解：B

質問 # 19
A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository.
Which solution will meet this requirement MOST cost-effectively?

A. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket.
Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.
B. Deploy a micro EC2 instance with an instance store volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
C. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket.Mount the S3 bucket to the EC2 instances as a local volume. Update the application code to read and write configuration files from the disk.
D. Mount an Amazon Elastic Block Store (Amazon EBS) volume onto one of the EC2 instances. Deploy a file system on the EBS volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.

正解：A

解説：
Explanation
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. The developer can create an S3 bucket to host the repository and migrate the existing .xml files to the S3 bucket. The developer can update the application code to use the AWS SDK to read and write configuration files from S3. This solution will meet the requirement of high availability for the repository in a cost-effective way.
References:
[Amazon Simple Storage Service (S3)]
[Using AWS SDKs with Amazon S3]

質問 # 20
A data visualization company wants to strengthen the security of its core applications. The applications are deployed on AWS across its development, staging, pre-production, and production environments. The company needs to encrypt all of its stored sensitive credentials.
The sensitive credentials need to be automatically rotated. A version of the sensitive credentials need to be stored for each environment.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Configure the environment variables in the application code. Use different names for each environment type.
B. Configure AWS Secrets Manager to create a new secret for each environment type. Store the environment-specific credentials in the secret.
C. Configure AWS Secrets Manager versions to store different copies of the same credentials across multiple environments.
D. Create a new parameter version in AWS Systems Manager Parameter Store for each environment. Store the environment-specific credentials in the parameter version.

正解：A

質問 # 21
A developer is modifying an AWS Lambda function that accesses an Amazon RDS for MySQL database. The developer discovers that the Lambda function has the database credentials stored as plaintext in the Lambda function code.
The developer must implement a solution to make the credentials more secure. The solution must include automated credential rotation every 30 days.
Which solution will meet these requirements?

A. Move the credentials to an encrypted Amazon S3 bucket. Modify the Lambda function to read from the S3 bucket. Configure S3 Object Lambda to rotate the credentials every 30 days.
B. Move the credentials to a secret in AWS Secrets Manager. Modify the Lambda function to read from Secrets Manager. Set a schedule to rotate the secret every 30 days.
C. Move the credentials to a secure string parameter in AWS Systems Manager Parameter Store. Modify the Lambda function to read from Parameter Store. Set a schedule to rotate the parameter every 30 days.
D. Move the credentials to a secure string parameter in AWS Systems Manager Parameter Store. Create an Amazon EventBridge rule to rotate the parameter every 30 days.

正解：B

解説：
Requirement Summary:
* Lambda function accesses RDS for MySQL
* Credentials are currentlyhardcoded in code(insecure)
* Must enableautomated credential rotation every 30 days
Option A: Use AWS Secrets Manager + automatic rotation
* #Best and secure option
* Secrets Manager allows:
* Secure storage of secrets
* Integration withRDS for automatic rotation
* Scheduled rotation every X days (e.g., 30 days)
* Lambda canfetch credentialsvia SDK (GetSecretValue)
Option B: Use SSM Parameter Store + rotation
* #SSMdoes not support automatic rotationof secrets.
* You'd need to build custom rotation logic = higher operational overhead.
Option C: Encrypted S3 + Object Lambda rotation
* #Not intended for credential storage.
* S3 is not asecrets management system, and Object Lambda does not perform rotation.
Option D: SSM + EventBridge rotation
* #No native integration between Parameter Store and EventBridge for secret rotation.
* You'd need to build custom Lambda functions = higher maintenance.
* Secrets Manager rotation for RDS:https://docs.aws.amazon.com/secretsmanager/latest/userguide
/rotating-secrets.html
* Secure retrieval in Lambda:https://docs.aws.amazon.com/secretsmanager/latest/userguide/retrieving- secrets_lambda.html
* Integration with RDS MySQL:https://docs.aws.amazon.com/secretsmanager/latest/userguide
/integrating_rds_config.html

質問 # 22
......

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