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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Development with AWS Services	32%	- Develop code for AWS serverless applications 1. Amazon API Gateway 2. AWS Step Functions 3. Amazon EventBridge 4. AWS AppSync - Develop code for applications hosted on AWS 1. Amazon API Gateway 2. Amazon SQS 3. AWS CloudFormation 4. Amazon S3 5. Amazon SNS 6. AWS SDKs 7. Amazon Cognito 8. AWS CLI 9. AWS Lambda 10. Amazon DynamoDB - Use data stores in application development 1. Amazon ElastiCache 2. Amazon EFS 3. Amazon S3 4. Amazon RDS 5. Amazon DynamoDB
Deployment	24%	- Test applications in development environments 1. Local testing of Lambda functions 2. Mocking AWS services 3. AWS SAM local - Automate deployment testing 1. AWS CodeBuild 2. AWS CodeDeploy 3. AWS CodeCommit 4. AWS CodePipeline - Deploy code by using AWS CI/CD services 1. Rolling deployments 2. AWS CodeBuild 3. Blue/green deployments 4. GitHub integration 5. AWS CodeDeploy 6. AWS CodeCommit 7. Canary deployments 8. AWS CodePipeline - Prepare application artifacts to be deployed to AWS 1. AWS SAM 2. AWS CloudFormation 3. AWS CDK 4. Docker containers 5. Lambda deployment packages
Security	26%	- Implement encryption by using AWS services 1. AWS CloudHSM 2. AWS KMS 3. AWS Certificate Manager 4. Amazon S3 encryption 5. AWS Secrets Manager - 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. User pools and identity pools in Amazon Cognito 4. Identity federation (SAML, OpenID Connect, Amazon Cognito) 5. Role-based access control (RBAC) - Manage sensitive data in application code 1. Encryption of data at rest and in transit 2. AWS Systems Manager Parameter Store 3. Environment variables 4. AWS Secrets Manager
Troubleshooting and Optimization	18%	- Instrument code for observability 1. AWS X-Ray 2. Amazon CloudWatch alarms 3. Custom metrics 4. Amazon CloudWatch metrics 5. Structured logging - Assist in a root cause analysis 1. Amazon CloudWatch Logs 2. AWS X-Ray 3. Error handling and retries 4. Application logging 5. AWS CloudTrail - Optimize applications by using AWS services and features 1. Memory and compute optimization 2. Caching strategies (ElastiCache, CloudFront) 3. Data storage optimization 4. Concurrency and throttling 5. Cost optimization

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Amazon AWS Certified Developer - Associate Sample Questions (Q626-Q631):

NEW QUESTION # 626
A developer is building a web and mobile application and needs a solution to deploy the application code. The solution must be compatible with the developer's Git source control repository. When the developer adds a new branch, the solution must create a separate deployment. Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS Amplify to deploy the application. Use feature branch deployments to connect and manage Git branches.
B. Deploy the application code to an AWS Lambda function. Publish a new version of the Lambda function and point an alias to the new version. Create a new branch in GitHub that connects to the Lambda alias.
C. Push the code to an Amazon ECR repository. Deploy the application on Amazon ECS. Set up a GitHub Actions workflow to create new branches.
D. Use AWS Elastic Beanstalk to deploy the application. Create new branches by uploading the application's source bundle code to create new application versions.

Answer: A

Explanation:
AWS Amplify integrates directly with Git repositories and supports feature branch deployments.
When a new branch is added, Amplify can automatically create a separate deployment for that branch, providing the least operational overhead for web and mobile application delivery.

NEW QUESTION # 627
A developer wants to debug an application by searching and filtering log data. The application logs are stored in Amazon CloudWatch Logs. The developer creates a new metric filter to count exceptions in the application logs. However, no results are returned from the logs.
What is the reason that no filtered results are being returned?

A. CloudWatch Logs only publishes metric data for events that happen after the filter is created.
B. A setup of the Amazon CloudWatch interface VPC endpoint is required for filtering the CloudWatch Logs in the VPC.
C. Metric data points for logs groups can be filtered only after they are exported to an Amazon S3 bucket.
D. The log group for CloudWatch Logs should be first streamed to Amazon OpenSearch Service before metric filtering returns the results.

Answer: A

NEW QUESTION # 628
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?

A. Compress the application to a zip file and upload it into AWS Lambda.
B. Bundle the serverless application using a SAM package.
C. Test the new AWS Lambda function by first tracing it m AWS X-Ray.
D. Create the application environment using the eb create my-env command.

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 # 629
A company uses Amazon API Gateway to expose a set of APIs to customers. The APIs have caching enabled in API Gateway. Customers need a way to invalidate the cache for each API when they test the API.
What should a developer do to give customers the ability to invalidate the API cache?

A. Ask the customers to use the AWS SDK API Gateway class to invoke the InvalidateCache API operation.
B. Attach an InvalidateCache policy to the IAM execution role that the customers use to invoke the API.Ask the customers to add the INVALIDATE_CACHE query string parameter when they make an API call.
C. Attach an InvalidateCache policy to the IAM execution role that the customers use to invoke the API.
Ask the customers to send a request that contains the HTTP header when they make an API call.
D. Ask the customers to use AWS credentials to call the InvalidateCache API operation.

Answer: B

NEW QUESTION # 630
A developer is migrating an application to Amazon Elastic Kubernetes Service (Amazon EKS). The developer migrates the application to Amazon Elastic Container Registry (Amazon ECR) with an EKS cluster.
As part of the application migration to a new backend, the developer creates a new AWS account. The developer makes configuration changes to the application to point the application to the new AWS account and to use new backend resources. The developer successfully tests the changes within the application by deploying the pipeline.
The Docker image build and the pipeline deployment are successful, but the application is still connecting to the old backend. The developer finds that the application's configuration is still referencing the original EKS cluster and not referencing the new backend resources.
Which reason can explain why the application is not connecting to the new resources?

A. The developer did not update the Docker image tag to a new version.
B. The developer did not successfully create the new AWS account.
C. The developer added a new tag to the Docker image.
D. The developer pushed the changes to a new Docker image tag.

Answer: A

Explanation:
The correct answer is C. The developer did not update the Docker image tag to a new version.
C: The developer did not update the Docker image tag to a new version. This is correct. When deploying an application to Amazon EKS, the developer needs to specify the Docker image tag that contains the application code and configuration. If the developer does not update the Docker image tag to a new version after making changes to the application, the EKS cluster will continue to use the old Docker image tag that references the original backend resources. To fix this issue, the developer should update the Docker image tag to a new version and redeploy the application to the EKS cluster.
A: The developer did not successfully create the new AWS account. This is incorrect. The creation of a new AWS account is not related to the application's connection to the backend resources. The developer can use any AWS account to host the EKS cluster and the backend resources, as long as they have the proper permissions and configurations.
B: The developer added a new tag to the Docker image. This is incorrect. Adding a new tag to the Docker image is not enough to deploy the changes to the application. The developer also needs to update the Docker image tag in the EKS cluster configuration, so that the EKS cluster can pull and run the new Docker image.
D: The developer pushed the changes to a new Docker image tag. This is incorrect. Pushing the changes to a new Docker image tag is not enough to deploy the changes to the application. The developer also needs to update the Docker image tag in the EKS cluster configuration, so that the EKS cluster can pull and run the new Docker image.

NEW QUESTION # 631
......

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