認定するDVA-C02｜ハイパスレートのDVA-C02認定試験試験｜試験の準備方法AWS Certified Developer - Associate過去問

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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Development with AWS Services	32%	- Write code for applications hosted on AWS 1. Implement architectural patterns 2. Develop serverless applications 3. Use AWS SDKs and APIs - Interact with AWS data services 1. Implement caching and data storage strategies 2. Work with Amazon DynamoDB, Amazon S3 - Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows
Security	26%	- Secure application data 1. Implement encryption at rest and in transit 2. Manage secrets and credentials securely - Apply security best practices 1. Follow AWS Well-Architected Framework security principles 2. Validate application security configurations - Implement authentication and authorization 1. Use Amazon Cognito for identity management 2. Manage IAM roles, policies, and permissions
Deployment	24%	- Implement CI/CD pipelines 1. Automate deployment and testing workflows 2. Use AWS CodePipeline, CodeBuild, CodeDeploy - Prepare application artifacts for deployment 1. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM) - Deploy applications on AWS 1. Perform safe updates and rollbacks 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
Troubleshooting and Optimization	18%	- Troubleshoot application issues 1. Analyze logs, metrics, and traces 2. Use Amazon CloudWatch, AWS X-Ray for monitoring - Debug and resolve errors 1. Resolve integration and configuration problems 2. Identify and fix code defects - Optimize application performance 1. Optimize resource usage and costs 2. Improve latency and throughput

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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q341-Q346):

質問 # 341
A company is using AWS SAM to develop a social media application. A developer needs a quick way to test AWS Lambda functions locally by using test event payloads. The developer needs the structure of these test event payloads to match the actual events that AWS services create.
Which solution will meet these requirements with the LEAST development effort?

A. Use the sam local generate-event command to create test payloads for local testing.
B. Store manually created test event payloads locally. Use the sam local invoke command with the file path to the payloads.
C. Create shareable test Lambda events. Use these test Lambda events for local testing.
D. Store manually created test event payloads in an Amazon S3 bucket. Use the sam local invoke command with the S3 path to the payloads.

正解：A

解説：
AWS SAM provides built-in tooling to generate realistic event payloads that match the structure of events produced by AWS services (such as S3, SNS, SQS, API Gateway, EventBridge, and others). The command designed specifically for this purpose is sam local generate-event. It produces sample event JSON that mirrors the format AWS services deliver to Lambda, which meets the requirement that payload structures match real service events.
This approach also requires the least development effort because the developer does not need to manually craft and maintain JSON payload files. Instead, the developer can generate the appropriate event type with SAM, optionally tweak values (bucket name, object key, request parameters), and then run sam local invoke using the generated payload. This significantly reduces mistakes and saves time, especially when testing multiple event sources.
Why other options are less suitable:
* A (shareable test events) is vague and typically still requires manual creation/maintenance.
* B requires manually creating payloads, which is error-prone and higher effort.
* C adds unnecessary operational overhead (S3 storage) and still relies on manual payload creation.
Therefore, using sam local generate-event is the quickest and lowest-effort way to generate accurate AWS- service-like test payloads for local Lambda testing.

質問 # 342
A company must deploy all its Amazon RDS DB instances by using AWS CloudFormation templates as part of AWS CodePipeline continuous integration and continuous delivery (CI/CD) automation. The primary password for the DB instance must be automatically generated as part of the deployment process.
Which solution will meet these requirements with the LEAST development effort?

A. Create an AWS Lambda-backed CloudFormation custom resource. Write Lambda code that generates a secure string. Return the value of the secure string as a data field of the custom resource response object. Use the CloudFormation Fn::GetAtt intrinsic function to get a value of the secure string. Create secrets in AWS Secrets Manager. Use the secretsmanager dynamic reference to use the value stored in the secret to create the DB instance.
B. Use the AWS::SecretsManager::Secret resource to generate a secure string. Store the secure string as a secret in AWS Secrets Manager. Use the secretsmanager dynamic reference to use the value stored in the secret to create the DB instance.
C. Create an AWS Lambda-backed CloudFormation custom resource. Write Lambda code that generates a secure string. Return the value of the secure string as a data field of the custom resource response object. Use the CloudFormation Fn::GetAtt intrinsic function to get the value of the secure string. Use the value to create the DB instance.
D. Use the AWS CodeBuild action of CodePipeline to generate a secure string by using the following AWS CLI command: aws secretsmanager get-random-password. Pass the generated secure string as a CloudFormation parameter with the NoEcho attribute set to true. Use the parameter reference to create the DB instance.

正解：B

解説：
With AWS CloudFormation, you can retrieve a secret to use in another AWS CloudFormation resource. A common scenario is to first create a secret with a password generated by Secrets Manager, and then retrieve the username and password from the secret to use as credentials for a new database.
https://docs.aws.amazon.com/secretsmanager/latest/userguide/cfn-example_reference- secret.html

質問 # 343
A developer is building an application that will process messages from an Amazon Simple Queue Service (Amazon SQS) standard queue. The application needs to process the messages in an Amazon Elastic Container Service (Amazon ECS) task.
Which actions will result in the MOST cost-effective processing of the messages? (Choose two.)

A. Use short polling to query the queue for new messages.
B. Use Amazon ElastiCache to cache messages in the queue.
C. Use an SQS FIFO queue to manage the messages.
D. Use long polling to query the queue for new messages.
E. Use message batching to retrieve messages from the queue.

正解：D、E

質問 # 344
A company hosts a multitenancy application that is becoming more popular. The company is setting up an Amazon CloudFront distribution for the application.
When the company begins to test the CloudFront distribution, some tenants see incorrect images for the tenant. The company needs to configure the application to cache the correct image for each tenant.
Which solution will meet this requirement with the LEAST development effort?

A. Create a new database table that maps images to tenant IDs. Configure the application to serve image names based on the requested tenant ID.
B. Write a Lambda@Edge function to look up and rewrite image paths based on each tenant.Integrate the Lambda@Edge function into the CloudFront configuration.
C. Configure the application to send a custom header named TenantID that includes a unique tenant identifier with each HTTP request. Configure CloudFront to cache images based on the request header.
D. Configure the application to send a cookie header that includes a unique tenant identifier with each HTTP request. Configure CloudFront to cache images based on the request header.

正解：C

解説：
Sending a custom TenantID header and configuring CloudFront to cache based on that header allows the application to serve tenant-specific content correctly with minimal code changes. It leverages built-in CloudFront capabilities and avoids complex development, achieving the goal with the least effort.

質問 # 345
A company's website runs on an Amazon EC2 instance and uses Auto Scaling to scale the environment during peak times. Website users across the world ate experiencing high latency flue lo sialic content on theEC2 instance. even during non-peak hours.
When companion of steps mill resolves the latency issue? (Select TWO)

A. Host the application code on AWS lambda
B. Store the application's sialic content in Amazon S3
C. Scale vertically by resizing the EC2 instances
D. Create an Amazon Cloudfront distribution to cache the static content
E. Double the Auto Scaling group's maximum number of servers

正解：B、D

解説：
The combination of steps that will resolve the latency issue is to create an Amazon CloudFront distribution to cache the static content and store the application's static content in Amazon S3. This way, the company can use CloudFront to deliver the static content from edge locations that are closer to the website users, reducing latency and improving performance. The company can also use S3 to store the static content reliably and cost- effectively, and integrate it with CloudFront easily. The other options either do not address the latency issue, or are not necessary or feasible for the given scenario.
Reference: Using Amazon S3 Origins and Custom Origins for Web Distributions

質問 # 346
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