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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deployment24%- Automate deployment testing
  • 1. AWS CodeCommit
  • 2. AWS CodePipeline
  • 3. AWS CodeBuild
  • 4. AWS CodeDeploy
- Prepare application artifacts to be deployed to AWS
  • 1. Lambda deployment packages
  • 2. Docker containers
  • 3. AWS CDK
  • 4. AWS CloudFormation
  • 5. AWS SAM
- Deploy code by using AWS CI/CD services
  • 1. Rolling deployments
  • 2. AWS CodeCommit
  • 3. AWS CodePipeline
  • 4. AWS CodeBuild
  • 5. GitHub integration
  • 6. Blue/green deployments
  • 7. Canary deployments
  • 8. AWS CodeDeploy
- Test applications in development environments
  • 1. Mocking AWS services
  • 2. AWS SAM local
  • 3. Local testing of Lambda functions
Topic 2: Security26%- Manage sensitive data in application code
  • 1. AWS Systems Manager Parameter Store
  • 2. Environment variables
  • 3. AWS Secrets Manager
  • 4. Encryption of data at rest and in transit
- Implement encryption by using AWS services
  • 1. Amazon S3 encryption
  • 2. AWS Secrets Manager
  • 3. AWS CloudHSM
  • 4. AWS KMS
  • 5. AWS Certificate Manager
- Implement authentication and/or authorization for applications and AWS services
  • 1. Resource-based policies, service policies, and principal policies
  • 2. Bearer tokens (JWT, OAuth, AWS STS)
  • 3. Identity federation (SAML, OpenID Connect, Amazon Cognito)
  • 4. Role-based access control (RBAC)
  • 5. User pools and identity pools in Amazon Cognito
Topic 3: Troubleshooting and Optimization18%- Optimize applications by using AWS services and features
  • 1. Caching strategies (ElastiCache, CloudFront)
  • 2. Memory and compute optimization
  • 3. Concurrency and throttling
  • 4. Data storage optimization
  • 5. Cost optimization
- Assist in a root cause analysis
  • 1. Error handling and retries
  • 2. AWS CloudTrail
  • 3. Application logging
  • 4. Amazon CloudWatch Logs
  • 5. AWS X-Ray
- Instrument code for observability
  • 1. Structured logging
  • 2. Amazon CloudWatch metrics
  • 3. Custom metrics
  • 4. Amazon CloudWatch alarms
  • 5. AWS X-Ray
Topic 4: Development with AWS Services32%- Use data stores in application development
  • 1. Amazon S3
  • 2. Amazon RDS
  • 3. Amazon ElastiCache
  • 4. Amazon EFS
  • 5. Amazon DynamoDB
- Develop code for applications hosted on AWS
  • 1. Amazon S3
  • 2. AWS SDKs
  • 3. Amazon SNS
  • 4. Amazon SQS
  • 5. AWS Lambda
  • 6. Amazon API Gateway
  • 7. AWS CloudFormation
  • 8. Amazon DynamoDB
  • 9. Amazon Cognito
  • 10. AWS CLI
- Develop code for AWS serverless applications
  • 1. Amazon EventBridge
  • 2. Amazon API Gateway
  • 3. AWS Step Functions
  • 4. AWS AppSync

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Amazon DVA-C02テスト内容、DVA-C02最新試験

被験者は定期的に計画を立て、自分の状況に応じて目標を設定し、研究を監視および評価することにより、学習者のプロフィールを充実させる必要があります。 DVA-C02試験の準備に役立つからです。試験に合格して関連する試験を受けるには、適切な学習プログラムを設定する必要があります。当社からDVA-C02テストガイドを購入し、それを真剣に検討すると、最短時間でDVA-C02試験に合格するのに役立つ適切な学習プランが得られると考えています。

Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q436-Q441):

質問 # 436
A company hosts a client-side web application for one of its subsidiaries on Amazon S3. The web application can be accessed through Amazon CloudFront from https://www.example.com. After a successful rollout, the company wants to host three more client-side web applications for its remaining subsidiaries on three separate S3 buckets.
To achieve this goal, a developer moves all the common JavaScript files and web fonts to a central S3 bucket that serves the web applications. However, during testing, the developer notices that the browser blocks the JavaScript files and web fonts.
What should the developer do to prevent the browser from blocking the JavaScript files and web fonts?

正解:D

解説:
Browsers enforce the Same-Origin Policy, which restricts web pages from requesting resources (like JavaScript files, fonts, and other assets) from a different domain/origin unless the target explicitly allows it.
When the developer moved shared JavaScript and web fonts into a separate "central" S3 bucket, the applications likely began fetching these assets from a different origin than the app's primary origin (for example, different domain, subdomain, or CloudFront distribution). As a result, the browser blocks those requests unless the response includes the appropriate CORS headers.
AWS documentation for Amazon S3 explains that to allow cross-origin requests from browsers, you must configure Cross-Origin Resource Sharing (CORS) on the S3 bucket that serves the resources. A CORS configuration defines allowed origins, methods (such as GET), and headers. For fonts in particular, browsers are strict and commonly require CORS headers to load fonts across origins.
Option C directly addresses this by adding a CORS policy to the central bucket, allowing the subsidiary application origins to retrieve JS and font files without being blocked.
Option B (bucket policy) controls authorization at the AWS request level, but it does not instruct browsers to allow cross-origin access. Even if the request is authorized, the browser can still block it if CORS headers are missing.
Option A (access points) is also about access management and does not solve browser CORS enforcement.
Option D (Content-MD5) is for integrity checking and is unrelated to cross-origin browser blocking.


質問 # 437
A developer is building an image-processing application that includes an AWS Lambda function. The Lambda function moves images from one AWS service to another AWS service for image processing. For images that are larger than 2 MB, the Lambda function returns the following error: "Task timed out after 3.01 seconds." The developer needs to resolve the error without modifying the Lambda function code.
Which solution will meet these requirements?

正解:B

解説:
The error message "Task timed out after 3.01 seconds" indicates that the Lambda invocation exceeded the function's configured timeout setting, which appears to be set to approximately 3 seconds. Larger images (>2 MB) take longer to transfer between services (due to network latency, throughput, and downstream service response time), so the runtime crosses the timeout threshold and Lambda forcibly terminates the execution.
This is a configuration problem, not necessarily a code defect.
To resolve the issue without modifying the function code, the developer should increase the Lambda function's timeout value. Lambda allows configuring the maximum runtime per invocation (up to the service limit). By increasing the timeout to a value that comfortably covers the expected transfer and processing initiation time for larger payloads, the function can complete its work successfully. This directly addresses the failure mode while keeping the existing implementation unchanged.
Option D (provisioned concurrency) reduces cold start latency by keeping execution environments initialized, but it does not extend the allowed runtime for a single invocation. If the function consistently needs more than
3 seconds for larger images, provisioned concurrency will not prevent timeouts. Option C (concurrency quota increase) increases the number of concurrent executions allowed, which can help throughput under load, but again does not affect per-invocation runtime limits. Option B avoids the problem by skipping large images, but it violates the functional need to process them and is not a general solution.
Therefore, the correct solution is A: increase the Lambda timeout so the function has sufficient time to move larger images between AWS services.


質問 # 438
A developer uses AWS Step Functions to build a complex workflow. The workflow takes several hours to finish running. An AWS Lambda function runs as part of the end of the workflow.
However, the Lambda function is generating errors.
The developer must troubleshoot the Lambda function errors.
Which solution will meet this requirement in the MOST operationally efficient way?

正解:C

解説:
The most operationally efficient way to troubleshoot Lambda function errors in a long-running Step Functions workflow is to redrive the workflow from the failed Lambda function step. This avoids rerunning the entire multi-hour workflow, saving time and compute resources while allowing you to quickly isolate and debug the error in the Lambda step.


質問 # 439
A company has an application that runs across multiple AWS Regions. The application is experiencing performance issues at irregular intervals. A developer must use AWS X-Ray to implement distributed tracing for the application to troubleshoot the root cause of the performance issues.
What should the developer do to meet this requirement?

正解:A

解説:
* Distributed Tracing with X-Ray: X-Ray helps visualize request paths and identify bottlenecks in applications distributed across Regions.
* Region Annotations (Automatic for AWS Services): X-Ray automatically adds a Region annotation to segments representing calls to AWS services. This aids in tracing cross-Region traffic.
* Region Annotations (Manual for User-Defined): For segments representing calls to user-defined services in different Regions, the developer needs to add the Region annotation manually to enable comprehensive tracing.
References:
* AWS X-Ray: https://aws.amazon.com/xray/


質問 # 440
A company wants to make sure that only one user from its Admin group has the permanent right to delete an Amazon EC2 resource. There should be no changes in the existing policy under the Admin group. What should a developer use to meet these requirements?

正解:A

解説:
An inline policy can be attached directly to a specific IAM user, granting that individual exclusive permissions without modifying the existing Admin group policy. This ensures only that one user has the permanent right to delete the EC2 resource while keeping the group policy unchanged.


質問 # 441
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