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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Deployment	24%	- Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks - Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows - Prepare application artifacts for deployment 1. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM)
Development with AWS Services	32%	- Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows - Write code for applications hosted on AWS 1. Use AWS SDKs and APIs 2. Implement architectural patterns 3. Develop serverless applications - Interact with AWS data services 1. Implement caching and data storage strategies 2. Work with Amazon DynamoDB, Amazon S3
Security	26%	- Secure application data 1. Manage secrets and credentials securely 2. Implement encryption at rest and in transit - Apply security best practices 1. Follow AWS Well-Architected Framework security principles 2. Validate application security configurations - Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management
Troubleshooting and Optimization	18%	- Troubleshoot application issues 1. Analyze logs, metrics, and traces 2. Use Amazon CloudWatch, AWS X-Ray for monitoring - Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems - Optimize application performance 1. Optimize resource usage and costs 2. Improve latency and throughput

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Amazon AWS Certified Developer - Associate Sample Questions (Q393-Q398):

NEW QUESTION # 393
A developer is using AWS CloudFormation to deploy an AWS Lambda function. The developer needs to set the Lambda function's timeout value based on the environment parameter of the template. The template contains mappings of EnvironmentData for each environment's timeout value. The environment parameter and EnvironmentData mappings are as follows:
Environment parameter:

EnvironmentData mappings:

Which statement will meet these requirements?

Answer: B

NEW QUESTION # 394
An application uses Amazon API Gateway integrated with an AWS Lambda function. Some API requests return HTTP 504 (Gateway Timeout) errors.
The Lambda function timeout is set to 20 seconds . The API Gateway integration timeout is 15 seconds .
There are no errors in the Lambda logs.
Which solution will prevent the HTTP 504 errors?

A. Increase the reserved concurrency of the Lambda function.
B. Increase the timeout of the API Gateway integration.
C. Increase the per-client throttling limit.
D. Increase the timeout of the Lambda function.

Answer: B

Explanation:
Amazon API Gateway has a hard integration timeout that determines how long it waits for a backend response. If the backend (Lambda) does not respond within this time, API Gateway returns an HTTP 504 error to the client.
In this scenario, the Lambda function timeout is longer (20 seconds) than the API Gateway integration timeout (15 seconds). AWS documentation states that API Gateway will terminate the request once its timeout is exceeded, even if Lambda continues executing successfully. This explains why there are no Lambda errors despite 504 responses.
Increasing the Lambda timeout (Option B) does not help because API Gateway times out first. Reserved concurrency (Option A) and throttling limits (Option D) are unrelated to request duration.
The correct solution is to increase the API Gateway integration timeout so that it exceeds the maximum expected Lambda execution time. This ensures API Gateway waits long enough for the Lambda response.
Therefore, increasing the API Gateway timeout prevents HTTP 504 errors.

NEW QUESTION # 395
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. Push the code to an Amazon ECR repository. Deploy the application on Amazon ECS. Set up a GitHub Actions workflow to create new branches.
B. Use AWS Elastic Beanstalk to deploy the application. Create new branches by uploading the application's source bundle code to create new application versions.
C. 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.
D. Use AWS Amplify to deploy the application. Use feature branch deployments to connect and manage Git branches.

Answer: D

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 # 396
An application that runs on AWS Lambda requires access to specific highly confidential objects in an Amazon S3 bucket. In accordance with the principle of least privilege, a company grants access to the S3 bucket by using only temporary credentials.
How can a developer configure access to the S3 bucket in the MOST secure way?

A. Create a Lambda function execution role. Attach a policy to the role that grants access to specific objects in the S3 bucket.
B. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID in AWS Secrets Manager. Configure the application to retrieve the Secrets Manager secret and use the credentials to access the S3 objects.
C. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID as environment variables in Lambda. Use the environment variables to access the required S3 objects.
D. Hardcode the credentials that are required to access the S3 objects in the application code. Use the credentials to access the required S3 objects.

Answer: A

Explanation:
https://docs.aws.amazon.com/lambda/latest/operatorguide/least-privilege.html

NEW QUESTION # 397
A developer owns and supports an application that has database credentials stored in environment variables for AWS Lambda functions. The developer needs an alternate storage method for the credentials instead of using plaintext environment variables. Which solution will handle the credentials MOST securely?

A. Use base64 encoding for the database credentials. Include the database credentials in the Lambda function ' s source code as part of a build process. Update the Lambda function ' s code to decode the credentials before the credentials are used.
B. Store the database credentials as a secret in AWS Secrets Manager. Set the secret ' s Amazon Resource Name (ARN) as the value of an environment variable. Use the AWS Parameters and Secrets Lambda Extension to retrieve the credentials in the Lambda function.
C. Use AWS CloudFormation to deploy the application. Ensure that the NoEcho property is set to true for the parameters that contain the database credentials.
D. Store the database credentials as a string-type parameter in AWS Systems Manager Parameter Store.
Set the parameter ' s Amazon Resource Name (ARN) as the value of an environment variable. Use the AWS Parameters and Secrets Lambda Extension to retrieve the credentials in the Lambda function.

Answer: B

Explanation:
The most secure solution is A because AWS Secrets Manager is purpose-built for storing, retrieving, and managing secrets such as database credentials, API keys, and tokens. In AWS guidance, Secrets Manager is recommended when applications need secure secret storage with controlled access, encryption, and integration with runtime retrieval patterns. By storing the credentials as a secret and passing only the secret ARN through an environment variable, the Lambda function avoids exposing the actual username and password in plaintext configuration.
The AWS Parameters and Secrets Lambda Extension is specifically designed to let Lambda functions retrieve secrets securely at invocation time. This reduces the risk of accidental exposure in code, deployment artifacts, or function configuration. Secrets Manager also supports automatic rotation , which is a major security advantage for database credentials and is one of the main reasons AWS recommends it over hardcoded or manually managed values.
Option B is incorrect because base64 is only encoding, not encryption, and embedding credentials in source code is insecure. Option C is less appropriate because a string type parameter in Systems Manager Parameter Store is not the secure choice for sensitive credentials; secure storage there would require SecureString , but even then Secrets Manager is the stronger AWS-recommended service for database secrets. Option D only masks values in CloudFormation outputs and logs with NoEcho ; it does not provide secure runtime secret retrieval or secret lifecycle management.
Therefore, A is the best and most secure answer according to AWS security best practices for Lambda applications handling database credentials.

NEW QUESTION # 398
......

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