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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Troubleshooting and Optimization18%- Instrument code for observability
  • 1. Amazon CloudWatch metrics
  • 2. AWS X-Ray
  • 3. Structured logging
  • 4. Amazon CloudWatch alarms
  • 5. Custom metrics
- Assist in a root cause analysis
  • 1. Application logging
  • 2. AWS CloudTrail
  • 3. AWS X-Ray
  • 4. Error handling and retries
  • 5. Amazon CloudWatch Logs
- Optimize applications by using AWS services and features
  • 1. Concurrency and throttling
  • 2. Cost optimization
  • 3. Caching strategies (ElastiCache, CloudFront)
  • 4. Data storage optimization
  • 5. Memory and compute optimization
Topic 2: Deployment24%- Test applications in development environments
  • 1. AWS SAM local
  • 2. Local testing of Lambda functions
  • 3. Mocking AWS services
- Automate deployment testing
  • 1. AWS CodeDeploy
  • 2. AWS CodeBuild
  • 3. AWS CodeCommit
  • 4. AWS CodePipeline
- Deploy code by using AWS CI/CD services
  • 1. AWS CodeDeploy
  • 2. Canary deployments
  • 3. Rolling deployments
  • 4. AWS CodeBuild
  • 5. Blue/green deployments
  • 6. AWS CodeCommit
  • 7. AWS CodePipeline
  • 8. GitHub integration
- Prepare application artifacts to be deployed to AWS
  • 1. Lambda deployment packages
  • 2. AWS CloudFormation
  • 3. Docker containers
  • 4. AWS CDK
  • 5. AWS SAM
Topic 3: Development with AWS Services32%- Develop code for AWS serverless applications
  • 1. AWS Step Functions
  • 2. Amazon API Gateway
  • 3. AWS AppSync
  • 4. Amazon EventBridge
- Use data stores in application development
  • 1. Amazon DynamoDB
  • 2. Amazon S3
  • 3. Amazon EFS
  • 4. Amazon RDS
  • 5. Amazon ElastiCache
- Develop code for applications hosted on AWS
  • 1. Amazon SNS
  • 2. Amazon API Gateway
  • 3. AWS CloudFormation
  • 4. Amazon DynamoDB
  • 5. Amazon SQS
  • 6. Amazon S3
  • 7. AWS Lambda
  • 8. Amazon Cognito
  • 9. AWS CLI
  • 10. AWS SDKs
Topic 4: Security26%- Implement authentication and/or authorization for applications and AWS services
  • 1. Identity federation (SAML, OpenID Connect, Amazon Cognito)
  • 2. Bearer tokens (JWT, OAuth, AWS STS)
  • 3. User pools and identity pools in Amazon Cognito
  • 4. Resource-based policies, service policies, and principal policies
  • 5. Role-based access control (RBAC)
- Implement encryption by using AWS services
  • 1. AWS CloudHSM
  • 2. AWS Certificate Manager
  • 3. AWS KMS
  • 4. Amazon S3 encryption
  • 5. AWS Secrets Manager
- Manage sensitive data in application code
  • 1. AWS Systems Manager Parameter Store
  • 2. Encryption of data at rest and in transit
  • 3. Environment variables
  • 4. AWS Secrets Manager

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Amazon AWS Certified Developer - Associate Sample Questions (Q581-Q586):

NEW QUESTION # 581
A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository.
Which solution will meet this requirement MOST cost-effectively?

Answer: B


NEW QUESTION # 582
A developer is managing an application that uses Amazon SQS to handle system events. The developer must implement a solution to process messages 5 minutes after the messages are added to the queue. Which property should the developer change to meet this requirement?

Answer: C

Explanation:
The DelaySeconds property allows messages to be delayed for a specified amount of time after being added to the queue before they become visible for processing. Setting this to 300 seconds (5 minutes) ensures messages are processed only after that delay.


NEW QUESTION # 583
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?

Answer: A

Explanation:
https://aws.amazon.com/rds/features/read-replicas/


NEW QUESTION # 584
A development team uses AWS CodeBuild as part of a CI/CD pipeline. The project includes hundreds of unit and integration tests, and total build time continues to increase. The team wants faster feedback and lower overall testing duration without managing additional infrastructure.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: A

Explanation:
AWS CodeBuild supports parallel test execution through batch builds and multiple compute environments.
This feature allows a single CodeBuild project to divide test workloads across multiple isolated environments that run concurrently. Each environment executes a subset of the test suite, significantly reducing total build time.
AWS documentation emphasizes using native CodeBuild capabilities to minimize operational complexity.
Parallel execution eliminates the need to manually manage infrastructure, test orchestration logic, or EC2 fleets. CodeBuild automatically provisions and terminates build environments, scales as needed, and integrates seamlessly with CI/CD pipelines.
Options A and D require manual coordination and infrastructure management, increasing operational overhead. Option C does not address the performance problem.
Therefore, using CodeBuild's parallel compute environments is the most efficient and AWS-recommended approach.


NEW QUESTION # 585
A developer is building an application that will use an Amazon API Gateway API with an AWS Lambda backend. The team that will develop the frontend requires immediate access to the API endpoints to build the UI. To prepare the backend application for integration, the developer needs to set up endpoints. The endpoints need to return predefined HTTP status codes and JSON responses for the frontend team. The developer creates a method for an API resource.
Which solution will meet these requirements?

Answer: D

Explanation:
To give the frontend team immediate access to stable endpoints without waiting for a real backend implementation, the simplest approach is to use API Gateway MOCK integration. A MOCK integration lets API Gateway generate a response directly, without invoking Lambda or any other backend. This is ideal for early UI development because you can return consistent, predefined payloads and status codes for each method.
With MOCK integration, you configure an integration request (often using a static mapping template) to produce a dummy request payload that triggers a response, and then you configure integration responses to return specific HTTP status codes (such as 200, 400, 500) along with predefined JSON bodies. You can also set response headers (for example, Content-Type: application/json) and use mapping templates to shape the returned JSON. This satisfies the requirement to "return predefined HTTP status codes and JSON responses" while minimizing development effort and avoiding the need to deploy placeholder Lambda functions.
Option A (AWS_PROXY with Lambda) can work, but it requires creating and deploying Lambda functions and IAM permissions just to return static data-more effort than necessary. Option C (HTTP PROXY) depends on an external placeholder service, which adds another system to build and maintain. Option D is incorrect because HTTP status codes are not defined in the method request; they are defined through method responses and realized through integration responses in API Gateway's integration configuration.
Therefore, B is the best solution: MOCK integration with integration request/response mappings provides quick, code-free stubs that unblock frontend development.


NEW QUESTION # 586
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