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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Development with AWS Services	32%	- Develop code for AWS serverless applications 1. AWS Step Functions 2. Amazon EventBridge 3. AWS AppSync 4. Amazon API Gateway - Use data stores in application development 1. Amazon EFS 2. Amazon RDS 3. Amazon DynamoDB 4. Amazon ElastiCache 5. Amazon S3 - Develop code for applications hosted on AWS 1. Amazon DynamoDB 2. AWS CloudFormation 3. AWS SDKs 4. Amazon Cognito 5. Amazon SNS 6. AWS Lambda 7. Amazon SQS 8. Amazon S3 9. AWS CLI 10. Amazon API Gateway
Security	26%	- Implement authentication and/or authorization for applications and AWS services 1. Role-based access control (RBAC) 2. User pools and identity pools in Amazon Cognito 3. Resource-based policies, service policies, and principal policies 4. Bearer tokens (JWT, OAuth, AWS STS) 5. Identity federation (SAML, OpenID Connect, Amazon Cognito) - Manage sensitive data in application code 1. AWS Secrets Manager 2. AWS Systems Manager Parameter Store 3. Encryption of data at rest and in transit 4. Environment variables - Implement encryption by using AWS services 1. AWS Secrets Manager 2. AWS Certificate Manager 3. AWS CloudHSM 4. AWS KMS 5. Amazon S3 encryption
Deployment	24%	- Automate deployment testing 1. AWS CodePipeline 2. AWS CodeBuild 3. AWS CodeDeploy 4. AWS CodeCommit - Deploy code by using AWS CI/CD services 1. GitHub integration 2. Canary deployments 3. AWS CodePipeline 4. AWS CodeBuild 5. Blue/green deployments 6. Rolling deployments 7. AWS CodeDeploy 8. AWS CodeCommit - Prepare application artifacts to be deployed to AWS 1. AWS CloudFormation 2. AWS SAM 3. Lambda deployment packages 4. Docker containers 5. AWS CDK - Test applications in development environments 1. AWS SAM local 2. Mocking AWS services 3. Local testing of Lambda functions
Troubleshooting and Optimization	18%	- Assist in a root cause analysis 1. Application logging 2. Amazon CloudWatch Logs 3. AWS X-Ray 4. AWS CloudTrail 5. Error handling and retries - Instrument code for observability 1. Structured logging 2. Custom metrics 3. AWS X-Ray 4. Amazon CloudWatch alarms 5. Amazon CloudWatch metrics - Optimize applications by using AWS services and features 1. Memory and compute optimization 2. Concurrency and throttling 3. Caching strategies (ElastiCache, CloudFront) 4. Cost optimization 5. Data storage optimization

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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q193-Q198):

質問 # 193
A company is preparing to migrate an application to the company's first AWS environment Before this migration, a developer is creating a proof-of-concept application to validate a model for building and deploying container-based applications on AWS.
Which combination of steps should the developer take to deploy the containerized proof-of-concept application with the LEAST operational effort? (Select TWO.)

A. Package the application into a zip file by using a command line tool Upload the package to Amazon S3
B. Package the application into a container image by using the Docker CLI. Upload the image to Amazon Elastic Container Registry (Amazon ECR)
C. Deploy the application to Amazon Elastic Container Service (Amazon ECS) on AWS Fargate
D. Deploy the application to Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Fargate
E. Deploy the application to an Amazon EC2 instance by using AWS CodeDeploy.

正解：B、C

解説：
Containerization: Packaging the application as a container image promotes portability and standardization.
Docker is the standard tool for containerization.
Amazon ECR: ECR is a managed container registry designed to work seamlessly with AWS container services.
Fargate: ECS Fargate provides serverless container orchestration, minimizing operational overhead for this proof-of-concept.
References:
Docker: https://www.docker.com/
Amazon ECR: https://aws.amazon.com/ecr/

質問 # 194
A company has an AWS Step Functions state machine named myStateMachine. The company configured a service role for Step Functions. The developer must ensure that only the myStateMachine state machine can assume the service role.
Which statement should the developer add to the trust policy to meet this requirement?

A. "Condition": { "StringEquals": { "aws:SourceAccount": "111111111111" } }
B. "Condition": { "ArnLike": { "aws:SourceArn":"urn:aws:states:ap-south-1:111111111111:stateMachine:myStateMachine" } }
C. "Condition": { "ArnLike": { "aws:SourceArn":"arn:aws:states:ap-south-1:*:stateMachine:myStateMachine" } }
D. "Condition": { "StringNotEquals": { "aws:SourceArn":"arn:aws:states:ap-south-1:111111111111:stateMachine:myStateMachine" } }

正解：B

解説：
Comprehensive Detailed Explanation with all AWS Reference
Why Option A is Correct:
The ArnLike condition with the specific ARN for myStateMachine ensures that only this state machine can assume the role. The format urn:aws:states is correct for specifying Step Functions resources.
Why Other Options are Incorrect:
Option B: Wildcards (*) in the ARN allow more resources to assume the role, which violates the requirement.
Option C: This condition restricts the account but not the specific state machine.
Option D: A StringNotEquals condition is used to deny specific values, which does not ensure exclusivity for the desired state machine.
AWS Documentation Reference:
IAM Trust Policies for Step Functions

質問 # 195
A developer wants the ability to roll back to a previous version of an AWS Lambda function in the event of errors caused by a new deployment. How can the developer achieve this with MINIMAL impact on users?

A. Do not make any changes to the application. Deploy the new version of the code. If too many errors are encountered, point the application back to the previous version using the version number in the Amazon Resource Name (ARN).
B. Change the application to use an alias that points to the current version. Deploy the new version of the code. Update the alias to direct 10% of users to the newly deployed version. If too many errors are encountered, send 100% of traffic to the previous version
C. Change the application to use an alias that points to the current version. Deploy the new version of the code Update the alias to use the newly deployed version. If too many errors are encountered, point the alias back to the previous version.
D. Create three aliases: new, existing, and router. Point the existing alias to the current version. Have the router alias direct 100% of users to the existing alias. Update the application to use the router alias. Deploy the new version of the code. Point the new alias to this version. Update the router alias to direct 10% of users to the new alias. If too many errors are encountered, send 100% of traffic to the existing alias.

正解：C

質問 # 196
A developer must use multi-factor authentication (MFA) to access data in an Amazon S3 bucket that is in another AWS account. Which AWS Security Token Service (AWS STS) API operation should the developer use with the MFA information to meet this requirement?

A. GetFederationToken
B. AssumeRole
C. AssumeRoleWithWebidentity
D. AssumeRoleWithSAML

正解：B

解説：
* AWS STS AssumeRole: The central operation for assuming temporary security credentials, commonly used for cross-account access.
* MFA Integration: The AssumeRole call can include MFA information to enforce multi-factor authentication.
* Credentials for S3 Access: The returned temporary credentials would provide the necessary permissions to access the S3 bucket in the other account.

質問 # 197
A developer needs temporary access to resources in a second account.
What is the MOST secure way to achieve this?

A. Create a dedicated IAM access key for the second account, and send it by mail.
B. Use the Amazon Cognito user pools to get short-lived credentials for the second account.
C. Create a cross-account access role, and use sts:AssumeRole API to get short-lived credentials.
D. Establish trust, and add an SSH key for the second account to the IAM user.

正解：C

質問 # 198
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