正確的なDVA-C02更新版 & 合格スムーズDVA-C02合格記 | 大人気DVA-C02テスト難易度当社JapancertのDVA-C02調査問題は現在、市場で最も強力であると言えます。これは、当社が他の企業のリーダーであるだけでなく、忠実なユーザーもいるからです。 DVA-C02トレーニング資料は、国内市場だけでなく、国際的なハイエンド市場でもあります。ハイエンドユーザーに適したいくつかの学習モデルを研究しています。 DVA-C02研究資料には多くの利点があります。これで、DVA-C02ガイド急流に関する詳細をサイトから知ることができます。 Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q170-Q175):質問 # 170
A developer is working on an ecommerce platform that communicates with several third-party payment processing APIs The third-party payment services do not provide a test environment.
The developer needs to validate the ecommerce platform's integration with the third-party payment processing APIs. The developer must test the API integration code without invoking the third-party payment processing APIs.
Which solution will meet these requirements'?
A. Create an AWS Lambda function for each third-party API. Embed responses captured from the real third-party API. Configure Amazon Route 53 Resolver with an inbound endpoint for each Lambda function's Amazon Resource Name (ARN).
B. Set up an Amazon API Gateway REST API for each third-party API Specify an integration request type of Mock Configure integration responses by using sample responses captured from the real third-party API
C. Set up an Amazon API Gateway REST API with a gateway response configured for status code 200 Add response templates that contain sample responses captured from the real third-party API.
D. Set up an AWS AppSync GraphQL API with a data source configured for each third-party API Specify an integration type of Mock Configure integration responses by using sample responses captured from the real third-party API.
正解：B
解説：
* Mocking API Responses: API Gateway's Mock integration type enables simulating API behavior without invoking backend services.
* Testing with Sample Data: Using captured responses from the real third-party API ensures realistic testing of the integration code.
* Focus on Integration Logic: This solution allows the developer to isolate and test the application's interaction with the payment APIs, even without a test environment from the third-party providers.
References:
* Amazon API Gateway Mock Integrations: https://docs.aws.amazon.com/apigateway/latest
/developerguide/how-to-mock-integration.html
質問 # 171
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. 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.
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. 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.
正解：D
解説：
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 # 172
A developer needs to build an AWS CloudFormation template that self-populates the AWS Region variable that deploys the CloudFormation template What is the MOST operationally efficient way to determine the Region in which the template is being deployed?
A. Use the AWS:.Region pseudo parameter
B. Dynamically import the Region by referencing the relevant parameter in AWS Systems Manager Parameter Store
C. Require the Region as a CloudFormation parameter
D. Find the Region from the AWS::Stackld pseudo parameter by using the Fn::Split intrinsic function
正解：A
解説：
* Pseudo Parameters: CloudFormation provides pseudo parameters that reference runtime context, including the current AWS Region.
* Operational Efficiency: The AWS::Region pseudo parameter offers the most direct and self-contained way to obtain the Region dynamically within the template.
References:
* CloudFormation Pseudo Parameters: https://docs.aws.amazon.com/AWSCloudFormation/latest
/UserGuide/pseudo-parameter-reference.html
質問 # 173
A company is preparing to migrate an application to the company's first AWS environment.
Before this migration, a developer is creating a proof-of-concept application to validate a model for building and deploying container-based applications on AWS.
Which combination of steps should the developer take to deploy the containerized proof-of- concept application with the LEAST operational effort? (Choose two.)
A. Deploy the application to Amazon Elastic Container Service (Amazon ECS) on AWS Fargate.
B. Deploy the application to Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Fargate.
C. Package the application into a .zip file by using a command line tool. Upload the package to Amazon S3.
D. Deploy the application to an Amazon EC2 instance by using AWS CodeDeploy.
E. Package the application into a container image by using the Docker CLI. Upload the image to Amazon Elastic Container Registry (Amazon ECR).
質問 # 174
A company has built an AWS Lambda function to convert large image files into output files that can be used in a third-party viewer application The company recently added a new module to the function to improve the output of the generated files However, the new module has increased the bundle size and has increased the time that is needed to deploy changes to the function code.
How can a developer increase the speed of the Lambda function deployment?
A. Use Amazon S3 to host the function dependencies
B. Use AWS CodeDeploy to deploy the function code
C. Use Lambda layers to package and load dependencies.
D. Increase the memory size of the function.
正解：C
解説：
* Problem: Large bundle size increases Lambda deployment time.
* Lambda Layers: Layers let you package dependencies separately from your function code. This optimizes the deployment package, making updates faster.
* Modularization: Breaking down dependencies into layers improves code organization and reusability.
References:
* AWS Lambda Layers: https://docs.aws.amazon.com/lamb ... uration-layers.html