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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q15-Q20):

NEW QUESTION # 15
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?

Answer: B

Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/secrets-manager-share-between-accounts/
https://docs.aws.amazon.com/secretsmanager/latest/userguide/auth-and-access_examples_cross.html


NEW QUESTION # 16
A developer is building an application that gives users the ability to view bank account from multiple sources in a single dashboard. The developer has automated the process to retrieve API credentials for these sources.
The process invokes an AWS Lambda function that is associated with an AWS CloudFormation cotton resource.
The developer wants a solution that will store the API credentials with minimal operational overhead.
When solution will meet these requirements?

Answer: D

Explanation:
Explanation
The solution that will meet the requirements is to use the AWS SDK ssm PutParameter operation in the Lambda function from the existing custom resource to store the credentials as a parameter. Set the parameter value to reference the new credentials. Set the parameter type to SecureString. This way, the developer can store the API credentials with minimal operational overhead, as AWS Systems Manager Parameter Store provides secure and scalable storage for configuration data. The SecureString parameter type encrypts the parameter value with AWS Key Management Service (AWS KMS). The other options either involve adding additional resources to the CloudFormation template, which increases complexity and cost, or do not encrypt the parameter value, which reduces security.


NEW QUESTION # 17
A company built an online event platform For each event the company organizes quizzes and generates leaderboards that are based on the quiz scores. The company stores the leaderboard data in Amazon DynamoDB and retains the data for 30 days after an event is complete The company then uses a scheduled job to delete the old leaderboard data The DynamoDB table is configured with a fixed write capacity. During the months when many events occur, the DynamoDB write API requests are throttled when the scheduled delete job runs.
A developer must create a long-term solution that deletes the old leaderboard data and optimizes write throughput Which solution meets these requirements?

Answer: C

Explanation:
DynamoDB TTL (Time-to-Live): A native feature that automatically deletes items after a specified expiration time.
Efficiency: Eliminates the need for scheduled deletion jobs, optimizing write throughput by avoiding potential throttling conflicts.
Seamless Integration: TTL works directly within DynamoDB, requiring minimal development overhead.
Reference:
DynamoDB TTL Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html


NEW QUESTION # 18
A company is building a new application that runs on AWS and uses Amazon API Gateway to expose APIs Teams of developers are working on separate components of the application in parallel The company wants to publish an API without an integrated backend so that teams that depend on the application backend can continue the development work before the API backend development is complete.
Which solution will meet these requirements?

Answer: A

Explanation:
API Gateway Mocking: This feature is built for decoupling development dependencies. Here's the process:
Create resources and methods in your API Gateway.
Set the integration type to 'MOCK'.
Define Integration Responses, mapping HTTP status codes to desired mocked responses (JSON, etc.).
Deployment and Use:
Create a deployment stage for the API.
Frontend teams can call this API and get the mocked responses without a real backend.
Reference:
Mocking API Gateway APIs: https://docs.aws.amazon.com/apigateway/latest/developerguide/how-to-mock-integration.html


NEW QUESTION # 19
A company runs an AWS CodeBuild project on medium-sized Amazon EC2 instances. The company wants to cost optimize the project and reduce the provisioning time.
Which solution will meet these requirements?

Answer: C

Explanation:
CodeBuild supports S3 caching to store intermediate build artifacts and dependencies. This reduces the time required to download dependencies during subsequent builds, effectively lowering costs and improving build performance.
By using S3 caching, developers can optimize costs without changing the compute type or adding complexity.


NEW QUESTION # 20
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