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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deployment24%- CI/CD and deployment strategies
  • 1. AWS CodeBuild and CodeDeploy usage
    • 2. AWS CodePipeline workflows
      - Infrastructure as code
      • 1. AWS CloudFormation templates
        Topic 2: Development with AWS Services32%- AWS core services development
        • 1. Amazon DynamoDB integration patterns
          • 2. AWS Lambda functions development
            • 3. Amazon S3 usage in applications
              - Application development and integration
              • 1. API Gateway and REST APIs
                • 2. Event-driven architectures with SNS/SQS
                  Topic 3: Troubleshooting and Optimization18%- Performance optimization
                  • 1. Fault tolerance and resilience patterns
                    • 2. Application performance tuning
                      - Monitoring and logging
                      • 1. Amazon CloudWatch metrics and logs
                        Topic 4: Security26%- Application authentication and authorization
                        • 1. IAM roles and policies
                          • 2. Cognito user authentication
                            - Data security
                            • 1. Encryption using AWS KMS
                              • 2. Secure API access patterns

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                                Amazon AWS Certified Developer - Associate Sample Questions (Q726-Q731):

                                NEW QUESTION # 726
                                An application is using Amazon Cognito user pools and identity pools for secure access. A developer wants to integrate the user-specific file upload and download features in the application with Amazon S3. The developer must ensure that the files are saved and retrieved in a secure manner and that users can access only their own files. The file sizes range from 3 KB to 300 MB.
                                Which option will meet these requirements with the HIGHEST level of security?

                                Answer: B

                                Explanation:
                                https://docs.aws.amazon.com/cognito/latest/developerguide/amazon-cognito-integrating-user-pools-with-identity-pools.html


                                NEW QUESTION # 727
                                A company is using Amazon API Gateway to invoke a new AWS Lambda function The company has Lambda function versions in its PROD and DEV environments. In each environment, there is a Lambda function alias pointing to the corresponding Lambda function version API Gateway has one stage that is configured to point at the PROD alias The company wants to configure API Gateway to enable the PROD and DEV Lambda function versions to be simultaneously and distinctly available Which solution will meet these requirements?

                                Answer: D

                                Explanation:
                                * API Gateway Stages: Stages in API Gateway represent distinct environments (like PROD and DEV) allowing different configurations.
                                * Stage Variables: Stage variables store environment-specific information, including Lambda function aliases.
                                * Ease of Management: This solution offers a straightforward way to manage different Lambda function versions across environments.
                                References:
                                API Gateway Stages: https://docs.aws.amazon.com/apigateway/latest/developerguide/set-up-stages.html API Gateway Stage Variables: https://docs.aws.amazon.com/apigateway/latest/developerguide/stage-variables.
                                html


                                NEW QUESTION # 728
                                A company has developed a new serverless application using AWS Lambda functions that will be deployed using the AWS Serverless Application Model (AWS SAM) CLI.
                                Which step should the developer complete prior to deploying the application?

                                Answer: B

                                Explanation:
                                This step should be completed prior to deploying the application because it prepares the application artifacts for deployment. The AWS Serverless Application Model (AWS SAM) is a framework that simplifies building and deploying serverless applications on AWS. The AWS SAM CLI is a command-line tool that helps you create, test, and deploy serverless applications using AWS SAM templates. The sam package command bundles the application artifacts, such as Lambda function code and API definitions, and uploads them to an Amazon S3 bucket. The command also returns a CloudFormation template that is ready to be deployed with the sam deploy command. Compressing the application to a zip file and uploading it to AWS Lambda will not work because it does not use AWS SAM templates or CloudFormation. Testing the new Lambda function by first tracing it in AWS X-Ray will not prepare the application for deployment, but only monitor its performance and errors. Creating the application environment using the eb create my-env command will not work because it is a command for AWS Elastic Beanstalk, not AWS SAM.


                                NEW QUESTION # 729
                                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? (Choose two.)

                                Answer: B,D

                                Explanation:
                                https://aws.amazon.com/getting-started/hands-on/deploy-docker-containers/


                                NEW QUESTION # 730
                                An application uses Lambda functions to extract metadata from files uploaded to an S3 bucket; the metadata is stored in Amazon DynamoDB. The application starts behaving unexpectedly, and the developer wants to examine the logs of the Lambda function code for errors.
                                Based on this system configuration, where would the developer find the logs?

                                Answer: B

                                Explanation:
                                Amazon CloudWatch is the service that collects and stores logs from AWS Lambda functions. The developer can use CloudWatch Logs Insights to query and analyze the logs for errors and metrics. Option A is not correct because Amazon S3 is a storage service that does not store Lambda function logs. Option B is not correct because AWS CloudTrail is a service that records API calls and events for AWS services, not Lambda function logs. Option D is not correct because Amazon DynamoDB is a database service that does not store Lambda function logs.


                                NEW QUESTION # 731
                                ......

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