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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- Prepare application artifacts for deployment 1. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM) - Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows - Deploy applications on AWS 1. Perform safe updates and rollbacks 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
Topic 2: Troubleshooting and Optimization	18%	- Troubleshoot application issues 1. Analyze logs, metrics, and traces 2. Use Amazon CloudWatch, AWS X-Ray for monitoring - Optimize application performance 1. Improve latency and throughput 2. Optimize resource usage and costs - Debug and resolve errors 1. Resolve integration and configuration problems 2. Identify and fix code defects
Topic 3: Development with AWS Services	32%	- 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 - Write code for applications hosted on AWS 1. Use AWS SDKs and APIs 2. Develop serverless applications 3. Implement architectural patterns
Topic 4: Security	26%	- Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management - 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

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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q250-Q255):

質問 # 250
A developer maintains a critical business application that uses Amazon DynamoDB as the primary data store. The DynamoDB table contains millions of documents and receives 30-60 requests each minute. The developer needs to perform processing in near-real time on the documents when they are added or updated in the DynamoDB table.
How can the developer implement this feature with the LEAST amount of change to the existing application code?

A. Set up a cron job on an Amazon EC2 instance. Run a script every hour to query the table for changes and process the documents.
B. Update the application to synchronously process the documents directly after the DynamoDB write.
C. Update the application to send a PutEvents request to Amazon EventBridge. Create an EventBridge rule to invoke an AWS Lambda function to process the documents.
D. Enable a DynamoDB stream on the table. Invoke an AWS Lambda function to process the documents.

正解：D

解説：
Option B is the best solution because it proposes enabling a DynamoDB stream on the table, which allows the developer to capture document-level changes in near-real time without modifying the application code. Then, the stream can be configured to invoke an AWS Lambda function to process the documents in near-real time. This solution requires minimal changes to the existing application code, and the Lambda function can be developed and deployed separately, enabling the developer to easily maintain and update it as needed.

質問 # 251
A developer is building a microservices-based application by using Python on AWS and several AWS services The developer must use AWS X-Ray The developer views the service map by using the console to view the service dependencies. During testing, the developer notices that some services are missing from the service map What can the developer do to ensure that all services appear in the X-Ray service map?

A. Modify the X-Ray Python agent configuration in each service to increase the sampling rate
B. Enable X-Ray data aggregation in Amazon CloudWatch Logs for all the services that the application uses
C. Increase the X-Ray service map timeout value in the X-Ray console
D. Instrument the application by using the X-Ray SDK for Python. Install the X-Ray SDK for all the services that the application uses

正解：D

解説：
* AWS X-Ray SDK: The primary way to enable X-Ray tracing within applications. The SDK sends data about requests and subsegments to the X-Ray daemon for service map generation.
* Instrumenting All Services: To visualize a complete microservice architecture on the service map, each relevant service must include the X-Ray SDK.

質問 # 252
A developer is building an application that includes an AWS Lambda function that is written in .NET Core.
The Lambda function ' s code needs to interact with Amazon DynamoDB tables and Amazon S3 buckets. The developer must minimize the Lambda function ' s deployment time and invocation duration.
Which solution will meet these requirements?

A. Include the entire AWS SDK for .NET in the Lambda function ' s deployment package.
B. Increase the Lambda function ' s memory.
C. Configure the Lambda function to download the AWS SDK for .NET from an S3 bucket at runtime.
D. Include only the AWS SDK for .NET modules for DynamoDB and Amazon S3 in the Lambda function
' s deployment package.

正解：D

質問 # 253
A developer is creating an application that must be able to generate API responses without backend integrations. Multiple internal teams need to work with the API while the application is still in development.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Amazon API Gateway REST API. Set up a proxy resource that has the HTTP proxy integration type.
B. Create an Amazon API Gateway HTTP API. Provision a VPC link, and set up a private integration on the API to connect to a VPC.
C. Create an Amazon API Gateway HTTP API. Enable mock integration on the method of the API resource.
D. Create an Amazon API Gateway REST API. Enable mock integration on the method of the API resource.

正解：D

解説：
Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer References:
1. Understanding the Use Case:
The API needs to:
Generate responses without backend integrations: This indicates the use of mock responses for testing.
Be used by multiple internal teams during development.
Minimize operational overhead.
2. Key Features of Amazon API Gateway:
REST APIs: Fully managed API Gateway option that supports advanced capabilities like mock integrations, request/response transformation, and more.
HTTP APIs: Lightweight option for building APIs quickly. It supports fewer features but has lower operational complexity and cost.
Mock Integration: Allows API Gateway to return pre-defined responses without requiring backend integration.
3. Explanation of the Options:
Option A:"Create an Amazon API Gateway REST API. Set up a proxy resource that has the HTTP proxy integration type."A proxy integration requires a backend service for handling requests. This does not meet the requirement of "no backend integrations." Option B:"Create an Amazon API Gateway HTTP API. Provision a VPC link, and set up a private integration on the API to connect to a VPC."This requires setting up a VPC and provisioning resources, which increases operational overhead and is unnecessary for this use case.
Option C:"Create an Amazon API Gateway HTTP API. Enable mock integration on the method of the API resource."While HTTP APIs can enable mock integrations, they have limited support for advanced features compared to REST APIs, such as detailed request/response customization. REST APIs are better suited for development environments requiring mock responses.
Option D:"Create an Amazon API Gateway REST API. Enable mock integration on the method of the API resource."This is the correct answer. REST APIs with mock integration allow defining pre-configured responses directly within API Gateway, making them ideal for scenarios where backend services are unavailable. It provides flexibility for testing while minimizing operational overhead.
4. Implementation Steps:
To enable mock integration with REST API:
Create a REST API in API Gateway:
Open the API Gateway Console.
Choose Create API > REST API.
Define the API Resource and Methods:
Add a resource and method (e.g., GET or POST).
Set Up Mock Integration:
Select the method, and in the Integration Type, choose Mock Integration.
Configure the Mock Response:
Define a 200 OK response with the desired response body and headers.
Deploy the API:
Deploy the API to a stage (e.g., dev) to make it accessible.
5. Why REST API Over HTTP API?
REST APIs support detailed request/response transformations and robust mock integration features, which are ideal for development and testing scenarios.
While HTTP APIs offer lower cost and simplicity, they lack some advanced features required for fine-tuned mock integrations.
References:
Amazon API Gateway REST API Features
Mock Integration in API Gateway
Comparison of REST and HTTP APIs in API Gateway
AWS API Gateway Pricing

質問 # 254
A developer has deployed an AWS Lambda function that is subscribed to an Amazon Simple Notification Service {Amazon SNS) topic. The developer must implement a solution to add a record of each Lambda function invocation to an Amazon Simple Queue Service {Amazon SQS) queue.
Which solution will meet this requirement?

A. Add a single asynchronous invocation destination to the Lambda function to capture successful invocations. Configure the SQS queue as the destination. Create an Amazon CloudWatch alarm based on the DestinationDeliveryFailures metric to catch any message that cannot be delivered.
B. Create code that uses the AWS SDK to call the SQS SendMessage operation to add the invocation details to the SQS queue. Add the code to the end of the Lambda function.
C. Configure the SQS queue as a dead-letter queue for the Lambda function.
D. Add two asynchronous invocation destinations to the Lambda function: one destination for successful invocations and one destination for failed invocations. Configure the SQS queue as the destination for each type. Create an Amazon CloudWatch alarm based on the DestinationDeliveryFailures metric to catch any message that cannot be delivered.

正解：A

質問 # 255
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