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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q676-Q681):

NEW QUESTION # 676
A company has an application that uses an AWS Lambda function to consume messages from an Amazon Simple Queue Service (Amazon SQS) queue. The SQS queue is configured with a dead-letter queue. Due to a defect in the application, AWS Lambda failed to process some messages. A developer fixed the bug and wants to process the failed messages again.
How should the developer resolve this issue?

Answer: C


NEW QUESTION # 677
A company has built an AWS Lambda function to convert large image files into output files that can be used in a third-party viewer application. The company recently added a new module to the function to improve the output of the generated files. However, the new module has increased the bundle size and has increased the time that is needed to deploy changes to the function code.
How can a developer increase the speed of the Lambda function deployment?

Answer: C


NEW QUESTION # 678
An Amazon Simple Queue Service (Amazon SQS) queue serves as an event source for an AWS Lambda function. In the SQS queue, each item corresponds to a video file that the Lambda function must convert to a smaller resolution. The Lambda function is timing out on longer video files, but the Lambda function's timeout is already configured to its maximum value.
What should a developer do to avoid the timeouts without additional code changes?

Answer: C


NEW QUESTION # 679
A developer is building a three-tier web application that should be able to handle a minimum of 5000 requests per minute. Requirements state that the web tier should be completely stateless while the application maintains session state for the users.
How can session data be externalized, keeping latency at the LOWEST possible value?

Answer: C

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option C is Correct:
* Amazon ElastiCache (Memcached) provides low-latency, in-memory caching suitable for session storage. It ensures stateless web tier operations and supports the high throughput of 5000 requests per minute.
* Why Other Options are Incorrect:
* Option A: RDS has higher latency compared to in-memory caching solutions like ElastiCache.
* Option B: Shared file systems introduce additional complexity and are not ideal for low-latency session data storage.
* Option D: DynamoDB has low latency but is less performant than ElastiCache for in-memory session management.
* AWS Documentation References:
* Amazon ElastiCache for Session State Management


NEW QUESTION # 680
A developer needs to use Amazon DynamoDB to store customer orders. The developer's company requires all customer data to be encrypted at rest with a key that the company generates. What should the developer do to meet these requirements?

Answer: C


NEW QUESTION # 681
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