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Amazon DVA-C02 Exam Syllabus Topics:
| Section |
Weight |
Objectives |
| Topic 1: Deployment |
24% |
- CI/CD and deployment strategies
- 1. AWS CodeBuild and CodeDeploy usage
- 2. AWS CodePipeline workflows
- Infrastructure as code
- 1. AWS CloudFormation templates
|
| Topic 2: Security |
26% |
- Data security
- 1. Secure API access patterns
- 2. Encryption using AWS KMS
- Application authentication and authorization
- 1. IAM roles and policies
- 2. Cognito user authentication
|
| Topic 3: Troubleshooting and Optimization |
18% |
- Performance optimization
- 1. Application performance tuning
- 2. Fault tolerance and resilience patterns
- Monitoring and logging
- 1. Amazon CloudWatch metrics and logs
|
| Topic 4: Development with AWS Services |
32% |
- Application development and integration
- 1. Event-driven architectures with SNS/SQS
- 2. API Gateway and REST APIs
- AWS core services development
- 1. Amazon DynamoDB integration patterns
- 2. AWS Lambda functions development
- 3. Amazon S3 usage in applications
|
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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q405-Q410):
質問 # 405
A company runs a batch processing application by using AWS Lambda functions and Amazon API Gateway APIs with deployment stages for development, user acceptance testing and production A development team needs to configure the APIs in the deployment stages to connect to third-party service endpoints.
Which solution will meet this requirement?
- A. Encode the third-party service endpoints as query parameters in the API Gateway request URL.
- B. Store the third-party service endpoint for each environment in AWS AppConfig
- C. Store the third-party service endpoints in API Gateway stage variables that correspond to the stage
- D. Store the third-party service endpoints in Lambda layers that correspond to the stage
正解:C
解説:
* API Gateway Stage Variables: These are designed for configuring dynamic values for your APIs in different deployment stages (dev, test, prod). Here's how to use them for third-party endpoints:
* In the API Gateway console, access the "Stages" section of your API.
* For each stage, create a stage variable named something like thirdPartyEndpoint.
* Set the value of this variable to the actual endpoint URL for that specific environment.
* When configuring API requests within your API Gateway method, reference this endpoint using ${stageVariables.thirdPartyEndpoint}.
* Why Stage Variables Excel Here:
* Environment Isolation: This approach keeps the endpoint configuration specific to each deployment stage, ensuring the right endpoints are used during development, testing, and production cycles.
* Ease of Management: You manage the endpoints directly through the API Gateway console without additional infrastructure.
References:
* Amazon API Gateway Stage Variables: https://docs.aws.amazon.com/apigateway/latest/developerguide
/stage-variables.html
質問 # 406
A developer created an AWS Lambda function that accesses resources in a VPC. The Lambda function polls an Amazon Simple Queue Service (Amazon SQS) queue for new messages through a VPC endpoint. Then the function calculates a rolling average of the numeric values that are contained in the messages. After initial tests of the Lambda function, the developer found that the value of the rolling average that the function returned was not accurate.
How can the developer ensure that the function calculates an accurate rolling average?
- A. Modify the function to store the values in Amazon ElastiCache. When the function initializes, use the previous values from the cache to calculate the rolling average.
- B. Modify the function to store the values in the function's layers. When the function initializes, use the previously stored values to calculate the rolling average.
- C. Set the function's provisioned concurrency to 1. Calculate the rolling average in the function.
Store the calculated rolling average in Amazon ElastiCache.
- D. Set the function's reserved concurrency to 1. Calculate the rolling average in the function. Store the calculated rolling average in Amazon ElastiCache.
正解:A
解説:
Modify the function to store the values in Amazon ElastiCache. When the function initializes, use the previous values from the cache to calculate the rolling average.
質問 # 407
A developer is creating an AWS Lambda function in VPC mode An Amazon S3 event will invoke the Lambda function when an object is uploaded into an S3 bucket The Lambda function will process the object and produce some analytic results that will be recorded into a file Each processed object will also generate a log entry that will be recorded into a file.
Other Lambda functions. AWS services, and on-premises resources must have access to the result files and log file. Each log entry must also be appended to the same shared log file. The developer needs a solution that can share files and append results into an existing file.
Which solution should the developer use to meet these requirements?
- A. Create a reference to the /opt storage directory Store the result files and log file by using the directory reference Append the log entry to the log file
- B. Create an Amazon Elastic File System (Amazon EFS) file system. Mount the EFS file system in Lambda. Store the result files and log file in the mount point. Append the log entries to the log file.
- C. Create a reference to the /tmp local directory. Store the result files and log file by using the directory reference. Append the log entry to the log file.
- D. Create an Amazon Elastic Block Store (Amazon EBS) Multi-Attach enabled volume Attach the EBS volume to all Lambda functions. Update the Lambda function code to download the log file, append the log entries, and upload the modified log file to Amazon EBS
正解:B
解説:
* Amazon EFS: A network file system (NFS) providing shared, scalable storage across multiple Lambda functions and other AWS resources.
* Lambda Mounting: EFS file systems can be mounted within Lambda functions to access a shared storage space.
* Log Appending: EFS supports appending data to existing files, making it ideal for the log file scenario.
質問 # 408
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 handler function.
What is the PRIMARY benefit of this action?
- A. Creates a new SDK instance for each invocation
- B. Provides better error handling
- C. Takes advantage of runtime environment reuse
- D. Improves legibility and stylistic convention
正解:C
解説:
Initializing the AWS SDK outside of the Lambda handler function takes advantage of runtime environment reuse. This means that the SDK only needs to be initialized once for all Lambda function invocations. This can improve application performance and efficiency.
質問 # 409
A company offers a business-to-business software service that runs on dedicated infrastructure deployed in each customer's AWS account. Before a feature release, the company needs to run integration tests on real AWS test infrastructure. The test infrastructure consists of Amazon EC2 instances and an Amazon RDS database.
A developer must set up a continuous delivery process that will provision the test infrastructure across the different AWS accounts. The developer then must run the integration tests.
Which solution will meet these requirements with the LEAST administrative effort?
- A. Use AWS CodePipeline with AWS CloudFormation change sets to deploy the infrastructure. Use a CloudFormation custom resource to run the tests.
- B. Use AWS CodePipeline with AWS CloudFormation StackSets to deploy the infrastructure. Use AWS CodeBuild to run the tests.
- C. Use AWS CodeDeploy with AWS CloudFormation StackSets to deploy the infrastructure. Use Amazon CodeGuru to run the tests.
- D. Use AWS Serverless Application Model (AWS SAM) templates with AWS CloudFormation change sets to deploy the infrastructure. Use AWS CodeDeploy to run the tests.
正解:A
質問 # 410
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