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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)
- Deploy applications on AWS
- 1. Perform safe updates and rollbacks
- 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
- Implement CI/CD pipelines
- 1. Automate deployment and testing workflows
- 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
|
| Topic 2: 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. Develop serverless applications
- 2. Use AWS SDKs and APIs
- 3. Implement architectural patterns
|
| Topic 3: Security | 26% | - Apply security best practices
- 1. Follow AWS Well-Architected Framework security principles
- 2. Validate application security configurations
- 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
|
| Topic 4: 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. Identify and fix code defects
- 2. Resolve integration and configuration problems
- Optimize application performance
- 1. Improve latency and throughput
- 2. Optimize resource usage and costs
|
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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q131-Q136):
質問 # 131
A company is implementing an application on Amazon EC2 instances. The application needs to process incoming transactions. When the application detects a transaction that is not valid, the application must send a chat message to the company's support team. To send the message, the application needs to retrieve the access token to authenticate by using the chat API.
A developer needs to implement a solution to store the access token. The access token must be encrypted at rest and in transit. The access token must also be accessible from other AWS accounts.
Which solution will meet these requirements with the LEAST management overhead?
- A. Use AWS Secrets Manager with an AWS Key Management Service (AWS KMS) customer managed key to store the access token. Add a resource-based policy to the secret to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Secrets Manager. Retrieve the token from Secrets Manager. Use the decrypted access token to send the message to the chat.
- B. Encrypt the access token by using an AWS Key Management Service (AWS KMS) AWS managed key. Store the access token in an Amazon S3 bucket. Add a bucket policy to the S3 bucket to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Amazon S3 and AWS KMS. Retrieve the token from the S3 bucket. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the massage to the chat.
- C. Use an AWS Systems Manager Parameter Store SecureString parameter that uses an AWS Key Management Service (AWS KMS) AWS managed key to store the access token. Add a resource-based policy to the parameter to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Parameter Store. Retrieve the token from Parameter Store with the decrypt flag enabled. Use the decrypted access token to send the message to the chat.
- D. Encrypt the access token by using an AWS Key Management Service (AWS KMS) customer managed key. Store the access token in an Amazon DynamoDB table. Update the IAM role of the EC2 instances with permissions to access DynamoDB and AWS KMS. Retrieve the token from DynamoDB. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the message to the chat.
正解:D
質問 # 132
A developer is leveraging a Border Gateway Protocol (BGP)-based AWS VPN connection to connect from on-premises to Amazon EC2 instances in the developer's account. The developer is able to access an EC2 instance in subnet A, but is unable to access an EC2 instance in subnet B in the same VPC. Which logs can the developer use to verify whether the traffic is reaching subnet B?
- A. BGP logs
- B. VPC Flow Logs
- C. AWS CloudTrail logs
- D. VPN logs
正解:B
解説:
VPC Flow Logs capture network traffic information going to and from network interfaces in a VPC.
They are the best tool to verify if traffic is reaching subnet B and how it is being handled (accepted or rejected), helping to diagnose connectivity issues at the subnet or instance level.
質問 # 133
A company is migrating an on-premises database to Amazon RDS for MySQL. The company has read-heavy workloads. The company wants to refactor the code to achieve optimum read performance for queries.
Which solution will meet this requirement with LEAST current and future effort?
- A. Use a multi-AZ Amazon RDS deployment. Modify the code so that queries access the secondary RDS instance.
- B. Use a multi-AZ Amazon RDS deployment. Increase the number of connections that the code makes to the database or increase the connection pool size if a connection pool is in use.
- C. Use open source replication software to create a copy of the MySQL database on an Amazon EC2 instance. Modify the application code so that queries use the IP address of the EC2 instance.
- D. Deploy Amazon RDS with one or more read replicas. Modify the application code so that queries use the URL for the read replicas.
正解:D
解説:
Amazon RDS for MySQL supports read replicas, which are copies of the primary database instance that can handle read-only queries. Read replicas can improve the read performance of the database by offloading the read workload from the primary instance and distributing it across multiple replicas. To use read replicas, the application code needs to be modified to direct read queries to the URL of the read replicas, while write queries still go to the URL of the primary instance. This solution requires less current and future effort than using a multi-AZ deployment, which does not provide read scaling benefits, or using open source replication software, which requires additional configuration and maintenance. Reference: Working with read replicas
質問 # 134
A developer needs to automate deployments for a serverless, event-based workload. The developer needs to create standardized templates to define the infrastructure and to test the functionality of the workload locally before deployment.
The developer already uses a pipeline in AWS CodePipeline. The developer needs to incorporate any other infrastructure changes into the existing pipeline.
Which solution will meet these requirements?
- A. Create an AWS SAM template. Configure the pipeline stages in CodePipeline to run the necessary AWS SAM CLI commands to deploy the serverless workload.
- B. Create an AWS CloudFormation template. Use the existing pipeline workflow to build a pipeline for AWS CloudFormation stacks.
- C. Create an AWS SAM template. Use an automated script to deploy the serverless workload by using the AWS SAM CLI deploy command.
- D. Create an AWS Step Functions workflow template based on the infrastructure by using the Amazon States Language. Start the Step Functions state machine from the existing pipeline.
正解:A
解説:
The requirements call for (1) standardized templates to define serverless infrastructure, (2) the ability to test locally before deployment, and (3) integrating deployment and infrastructure changes into an existing AWS CodePipeline workflow. AWS Serverless Application Model (AWS SAM) is designed specifically for serverless applications and extends CloudFormation with serverless-specific resources (such as AWS::
Serverless::Function, APIs, event sources). SAM also provides the SAM CLI, which includes local testing capabilities (for example, sam local invoke and sam local start-api) that emulate Lambda and API Gateway behavior for rapid iteration before deployment.
Option A fits all requirements: create an AWS SAM template as the infrastructure definition and add pipeline stages that execute the necessary SAM CLI commands (commonly sam build and sam deploy, and optionally test commands) as part of the CI/CD process. This makes deployments repeatable and automated, ensures infrastructure changes are deployed in lockstep with application changes, and keeps everything governed by the existing CodePipeline.
Option D uses SAM but relies on a standalone script outside the pipeline, which conflicts with the requirement to incorporate infrastructure changes into the existing pipeline. Option C (plain CloudFormation) can define infrastructure, but it does not inherently provide the same streamlined local testing workflow that SAM CLI provides for serverless event sources and APIs. Option B is unrelated: Step Functions is an orchestration service and its definition language is not a general infrastructure templating and local-testing solution for serverless deployments.
Therefore, A is the correct strategy: use AWS SAM templates and integrate SAM CLI build/deploy steps into CodePipeline to automate deployments and support local testing while managing infrastructure as code.
質問 # 135
A company uses AWS CloudFormation templates to manage infrastructure for a public-facing application in its development, pre-production, and production environments. The company needs to scale for increasing customer demand. A developer must upgrade the Amazon RDS DB instance type to a larger instance.
The developer deploys an update to the CloudFormation stack with the instance size change in the pre-production environment. The developer notices that the stack is in an UPDATE_ROLLBACK_FAILED slate in CloudFormation.
Which option is the cause of this issue?
- A. The new instance type specified in the CloudFormation template is invalid
- B. The database was deleted or modified manually outside of the CloudFormation stack
- C. The developer has insufficient IAM permissions to provision an instance of the specified type
- D. There is a syntax error in the CloudFormation template
正解:B
質問 # 136
......
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