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信頼的なDVA-C02試験ツールの保証購入の安全性-AWS Certified Developer - Associate

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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q556-Q561):

質問 # 556
A developer maintains an Amazon API Gateway REST API. Customers use the API through a frontend UI and Amazon Cognito authentication.
The developer has a new version of the API that contains new endpoints and backward-incompatible interface changes. The developer needs to provide beta access to other developers on the team without affecting customers.
Which solution will meet these requirements with the LEAST operational overhead?

A. Implement a query parameter in the API application code that determines which code version to call.
B. Define a development stage on the API Gateway API. Instruct the other developers to point the endpoints to the development stage.
C. Specify new API Gateway endpoints for the API endpoints that the developer wants to add.
D. Define a new API Gateway API that points to the new API application code. Instruct the other developers to point the endpoints to the new API.

正解：B

解説：
Explanation
Amazon API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. The developer can define a development stage on the API Gateway API and instruct the other developers to point the endpoints to the development stage. This way, the developer can provide beta access to the new version of the API without affecting customers who use the production stage. This solution will meet the requirements with the least operational overhead.
References:
[What Is Amazon API Gateway? - Amazon API Gateway]
[Set up a Stage in API Gateway - Amazon API Gateway]

質問 # 557
A company is migrating its PostgreSQL database into the AWS Cloud. The company wants to use a database that will secure and regularly rotate database credentials. The company wants a solution that does not require additional programming overhead.
Which solution will meet these requirements?

A. Use Amazon DynamoDB for the database. Store the database credentials in AWS Systems Manager Parameter Store Turn on rotation.
B. Use Amazon Aurora PostgreSQL tor the database. Store the database credentials in AWS Systems Manager Parameter Store Turn on rotation.
C. Use Amazon DynamoDB for the database. Store the database credentials in AWS Secrets Manager Turn on rotation.
D. Use Amazon Aurora PostgreSQL for the database. Store the database credentials in AWS Secrets Manager Turn on rotation.

正解：D

解説：
Explanation
This solution meets the requirements because it uses a PostgreSQL-compatible database that can secure and regularly rotate database credentials without requiring additional programming overhead. Amazon Aurora PostgreSQL is a relational database service that is compatible with PostgreSQL and offers high performance, availability, and scalability. AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. You can store database credentials in AWS Secrets Manager and use them to access your Aurora PostgreSQL database. You can also enable automatic rotation of your secrets according to a schedule or an event. AWS Secrets Manager handles the complexity of rotating secrets for you, such as generating new passwords and updating your database with the new credentials. Using Amazon DynamoDB for the database will not meet the requirements because it is a NoSQL database that is not compatible with PostgreSQL. Using AWS Systems Manager Parameter Store for storing and rotating database credentials will require additional programming overhead to integrate with your database.

質問 # 558
A company stores customer credit reports in an Amazon S3 bucket. An analytics service uses standard Amazon S3 GET requests to access the reports.
A developer must implement a solution to redact personally identifiable information (PII) from the reports before the reports reach the analytics service.
Which solution will meet this requirement with the MOST operational efficiency?

A. Load the S3 objects into Amazon Redshift by using a COPY command. Implement dynamic data masking. Refactor the analytics service to read from Amazon Redshift.
B. Set up an S3 Object Lambda function. Attach the function to an S3 Object Lambda Access Point.
Program the function to call a PII redaction API.
C. Create an Amazon Simple Notification Service (Amazon SNS) topic. Implement message data protection. Refactor the analytics service to publish data access requests to the SNS topic.
D. Use AWS Key Management Service (AWS KMS) to implement encryption in the S3 bucket. Re- upload all the existing S3 objects. Give the kms:Decrypt permission to the analytics service.

正解：B

解説：
S3 Object Lambda is the most operationally efficient solution for redacting PII from S3 objects before they reach the analytics service. S3 Object Lambda allows you to create a custom Lambda function that can process and modify the content of S3 objects in real-time as they are accessed. By using an S3 Object Lambda Access Point, you can program the function to call a PII redaction API, ensuring that the redacted data is delivered directly to the analytics service without storing or modifying the original files. This solution is easy to implement and minimizes the operational overhead.

質問 # 559
A developer is building a serverless application that is based on AWS Lambda. The developer initializes the AWS software development kit (SDK) outside of the Lambda handcar function.
What is the PRIMARY benefit of this action?

A. Provides better error handling
B. Creates a new SDK instance for each invocation
C. Improves legibility and systolic convention
D. Takes advantage of runtime environment reuse

正解：D

解説：
This benefit occurs when initializing the AWS SDK outside of the Lambda handler function because it allows the SDK instance to be reused across multiple invocations of the same function. This can improve performance and reduce latency by avoiding unnecessary initialization overhead. If the SDK is initialized inside the handler function, it will create a new SDK instance for each invocation, which can increase memory usage and execution time.
Reference: [AWS Lambda execution environment], [Best Practices for Working with AWS Lambda Functions]

質問 # 560
A developer is preparing to deploy an AWS CloudFormation stack for an application from a template that includes an IAM user. The developer needs to configure the application's resources to retain the IAM user after successful creation. However, the developer also needs to configure the application to delete the IAM user if the stack rolls back. Which configuration will meet these requirements?

A. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-05-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: Retain
B. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-09-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: RetainExceptOnCreate
C. Update the CloudFormation service role to include the following policy:
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["cloudformation:UpdateTerminationProtection"], "Resource": "*"
}]
}
D. Update the stack policy to include the following statements:
{
"Statement": [{
"Effect": "Deny",
"Action": "Update:*",
"Principal": "*",
"Resource": "*",
"Condition": {
"StringEquals": {
"ResourceType": "AWS::IAM::User"
}
}
}]
}

正解：B

解説：
The RetainExceptOnCreate deletion policy ensures that the IAM user is retained after successful stack creation but is deleted if the stack creation fails or rolls back. This meets both requirements.

質問 # 561
......

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