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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
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
Development with AWS Services	32%	- Interact with AWS data services 1. Work with Amazon DynamoDB, Amazon S3 2. Implement caching and data storage strategies - Write code for applications hosted on AWS 1. Implement architectural patterns 2. Use AWS SDKs and APIs 3. Develop serverless applications - Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows
Security	26%	- Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management - Secure application data 1. Manage secrets and credentials securely 2. Implement encryption at rest and in transit - Apply security best practices 1. Validate application security configurations 2. Follow AWS Well-Architected Framework security principles
Troubleshooting and Optimization	18%	- Optimize application performance 1. Optimize resource usage and costs 2. Improve latency and throughput - Troubleshoot application issues 1. Use Amazon CloudWatch, AWS X-Ray for monitoring 2. Analyze logs, metrics, and traces - Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems

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Amazon AWS Certified Developer - Associate DVA-C02 Prüfungsfragen mit Lösungen (Q438-Q443):

438. Frage
A developer needs to modify an application architecture to meet new functional requirements. Application data is stored in Amazon DynamoDB and processed tor analysis in a nightly batch. The system analysts do not want to wait until the next day to view the processed data and have asked to have it available in near-real time.
Which application architecture pattern would enable the data to be processed as it is received?

A. Schedule driven
B. Client-server d riven
C. Event driven
D. Fan-out driven

Antwort: C

439. Frage
A developer wants to add request validation to a production environment Amazon API Gateway API. The developer needs to test the changes before the API is deployed to the production environment. For the test, the developer will send test requests to the API through a testing tool.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a new API. Add the necessary resources and methods, including new request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.
B. Clone the existing API. Modify the new API to add request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.
C. Modify the existing API to add request validation. Deploy the updated API to a new API Gateway stage. Perform the tests. Deploy the updated API to the API Gateway production stage.
D. Export the existing API to an OpenAPI file. Create a new API. Import the OpenAPI file. Modify the new API to add request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.

Antwort: C

Begründung:
Amazon API Gateway allows you to create, deploy, and manage a RESTful API to expose backend HTTP endpoints, AWS Lambda functions, or other AWS services1. You can use API Gateway to perform basic validation of an API request before proceeding with the integration request1. When the validation fails, API Gateway immediately fails the request, returns a 400 error response to the caller, and publishes the validation results in CloudWatch Logs1.
To test changes before deploying to a production environment, you can modify the existing API to add request validation and deploy the updated API to a new API Gateway stage1. This allows you to perform tests without affecting the production environment. Once testing is complete and successful, you can then deploy the updated API to the API Gateway production stage1.
This approach has the least operational overhead as it avoids unnecessary creation of new APIs or exporting and importing of APIs. It leverages the existing infrastructure and only requires changes in the configuration of the existing API1.

440. Frage
A developer is deploying an application in the AWS Cloud by using AWS CloudFormation. The application will connect to an existing Amazon RDS database. The hostname of the RDS database is stored in AWS Systems Manager Parameter Store as a plaintext value. The developer needs to incorporate the database hostname into the CloudFormation template to initialize the application when the stack is created.
How should the developer reference the parameter that contains the database hostname?

A. Use the Ref intrinsic function.
B. Use the Fn::ImportValue intrinsic function.
C. Use the ssm-secure dynamic reference.
D. Use the ssm dynamic reference.

Antwort: D

441. Frage
A developer is building an application integrating an Amazon API Gateway with an AWS Lambda function. When calling the API, the developer receives the following error:
Wed Nov 08 01:13:00 UTC 2017 : Method completed with status: 502
What should the developer do to resolve the error?

A. Change the authorization header in the API call to access the Lambda function.
B. Change the format of the Lambda function response to the API call.
C. Change the HTTP endpoint of the API to an HTTPS endpoint.
D. Change the format of the payload sent to the API Gateway.

Antwort: B

442. Frage
A developer is preparing to deploy an AWS CloudFormation stack for an application from a template that includes an IAM user.
The developer needs to configure the application's resources to retain the IAM user after successful creation.
However, the developer also needs to configure the application to delete the IAM user if the stack rolls back.

A. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-09-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: RetainExceptOnCreate
B. Update the stack policy to include the following statements:
{
"Statement": [{
"Effect": "Deny",
"Action": "Update:*",
"Principal": "*",
"Resource": "*",
"Condition": {
"StringEquals": {
"ResourceType": "AWS::IAM::User"
}
}
}]
}
C. Update the CloudFormation service role to include the following policy:
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["cloudformation:UpdateTerminationProtection"],
"Resource": "*"
}]
}
D. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-05-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: Retain

Antwort: A

Begründung:
Comprehensive Detailed Explanation with all AWS References
* Why Option B is Correct:The RetainExceptOnCreate deletion policy ensures that the IAM user is retained after successful stack creation but is deleted if the stack creation fails or rolls back. This meets both requirements.
* Why Other Options are Incorrect:
* Option A: The Retain policy retains the resource regardless of stack status and does not delete the IAM user upon rollback.
* Option C: Updating the service role for termination protection does not address the specific deletion behavior for the IAM user.
* Option D: Stack policy controls updates, not resource deletion behavior during rollbacks.
* AWS Documentation References:
* CloudFormation DeletionPolicy Attribute

443. Frage
......

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