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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Security	26%	- Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication - Data security 1. Secure API access patterns 2. Encryption using AWS KMS
Topic 2: Development with AWS Services	32%	- Application development and integration 1. API Gateway and REST APIs 2. Event-driven architectures with SNS/SQS - AWS core services development 1. Amazon DynamoDB integration patterns 2. Amazon S3 usage in applications 3. AWS Lambda functions development
Topic 3: Troubleshooting and Optimization	18%	- Monitoring and logging 1. Amazon CloudWatch metrics and logs - Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns
Topic 4: Deployment	24%	- CI/CD and deployment strategies 1. AWS CodePipeline workflows 2. AWS CodeBuild and CodeDeploy usage - Infrastructure as code 1. AWS CloudFormation templates

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Amazon AWS Certified Developer - Associate Sample Questions (Q394-Q399):

NEW QUESTION # 394
A company uses the AWS SDK for JavaScript in the Browser to build a web application and then hosts the application on Amazon S3. The company wants the application to support 10,000 users concurrently. The company selects Amazon DynamoDB to store user preferences in a table.
There is a requirement to uniquely identify users at any scale.
Which solution will meet these requirements?

A. Create an IAM user for each user. Use fine-grained access control on the DynamoDB table to control access.
B. Deploy an Amazon CloudFront distribution with an origin access identity (OAI) to access the S3 bucket.
C. Configure and use Amazon Cognito. Access DynamoDB with the authenticated users.
D. Create a user cookie. Attach an IAM role to the S3 bucket that hosts the application.

Answer: C

Explanation:
This will allow the application to support 10,000 users concurrently and will provide a unique identifier for each user. By using Amazon Cognito, the company can authenticate users and then access DynamoDB with the authenticated users to store their preferences in a table. This approach will allow the company to control access to the DynamoDB table and to scale to any number of users. Creating a user cookie or deploying an Amazon CloudFront distribution with an OAI would not solve the problem because these solutions do not provide a way to uniquely identify users or control access to DynamoDB. Creating an IAM user for each user and using fine- grained access control on the DynamoDB table would not be practical or scalable because it would require the company to manage and maintain a large number of IAM users.
When dealing with user profiles in serverless applications we often turn to Cognito for managing their credentials while the app itself will store user entities.
https://www.sorenandersen.com/manage-user-profile-data-between-cognito-and-dynamodb/

NEW QUESTION # 395
A developer received the following error message during an AWS CloudFormation deployment:
DELETE_FAILED (The following resource(s) failed to delete: [ASGInstanceRole12345678].) Which action should the developer take to resolve this error?

A. Add a force parameter when calling CloudFormation with the role-arn of ASGInstanceRole12345678.
B. Modify the CloudFormation template to retain the ASGInstanceRole12345678 resource. Then manually delete the resource after deployment.
C. Contact AWS Support to report an issue with the Auto Scaling Groups (ASG) service.
D. Add a DependsOn attribute to the ASGInstanceRole12345678 resource in the CloudFormation template. Then delete the stack.

Answer: B

NEW QUESTION # 396
A team of developed is using an AWS CodePipeline pipeline as a continuous integration and continuous delivery (CI/CD) mechanism for a web application. A developer has written unit tests to programmatically test the functionality of the application code. The unit tests produce a test report that shows the results of each individual check. The developer now wants to run these tests automatically during the CI/CD process.

A. Add a new stage to the pipeline. Use Jenkins as the provider. Configure CodePipeline to use Jenkins to run the unit tests. Write a Jenkinsfile that fails the stage if any test does not pass. Use the test report plugin for Jenkins to integrate the repot with the Jenkins dashboard. View the test results in Jenkins.
Resolve any issues.
B. Write a Git pre-commit hook that runs the test before every commit. Ensure that each developer who is working on the project has the pre-commit hook instated locally. Review the test report and resolve any issues before pushing changes to AWS CodeCommit.
C. Add a new stage to the pipeline. Use AWS CodeBuild at the provider. Add the new stage before the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage it any test does not pass. Use the test reports feature of CodeBuild to integrate the report with the CodeBuild console. View the test results in codeBuild Resolve any issues.
D. Add a new stage to the pipeline. Use AWS CodeBuild as the provider. Add the new stage after the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage if any test does not pass. Use the test reports feature of Codebuild to integrate the report with the CodoBuild console. View the test results in CodeBuild Resolve any issues.

Answer: C

Explanation:
The solution that will meet the requirements is to add a new stage to the pipeline. Use AWS CodeBuild as the provider. Add the new stage before the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage if any test does not pass. Use the test reports feature of CodeBuild to integrate the report with the CodeBuild console. View the test results in CodeBuild. Resolve any issues. This way, the developer can run the unit tests automatically during the CI/CD process and catch any bugs before deploying to the test environment. The developer can also use the test reports feature of CodeBuild to view and analyze the test results in a graphical interface. The other options either involve running the tests manually, running them after deployment, or using a different provider that requires additional configuration and integration.

NEW QUESTION # 397
A development team wants to build a continuous integration/continuous delivery (CI/CD) pipeline. The team is using AWS CodePipeline to automate the code build and deployment. The team wants to store the program code to prepare for the CI/CD pipeline.
Which AWS service should the team use to store the program code?

A. AWS CodeArtifact
B. Amazon CodeGuru
C. AWS CodeCommit
D. AWS CodeDeploy

Answer: C

Explanation:
AWS CodeCommit is a service that provides fully managed source control for hosting secure and scalable private Git repositories. The development team can use CodeCommit to store the program code and prepare for the CI/CD pipeline. CodeCommit integrates with other AWS services such as CodePipeline, CodeBuild, and CodeDeploy to automate the code build and deployment process.
References:
* [What Is AWS CodeCommit? - AWS CodeCommit]
* [AWS CodePipeline - AWS CodeCommit]

NEW QUESTION # 398
A developer is building a multi-tenant application using AWS Lambda, Amazon S3, and Amazon DynamoDB. Each S3 object prefix represents a tenant name, and DynamoDB uses the tenant name as the partition key.
The developer must prevent cross-tenant data access during processing.
Which combination of actions will meet this requirement? (Select THREE.)

A. Create a data access IAM role that allows the sts:TagSession action.
B. Create a resource-based policy on DynamoDB based on principal tags.
C. Create a resource control policy (RCP) for the S3 bucket.
D. Configure IAM policies on the data access role to allow S3 and DynamoDB access only when resource attributes match the tenant session tag.
E. Configure the Lambda function to assume the data access role and pass the tenant name as a session tag.
F. Allow the Lambda execution role to assume the data access role.

Answer: A,D,E

Explanation:
Comprehensive and Detailed Explanation (250-300 words):
AWS best practices for multi-tenant isolation recommend session-based access control using IAM session tags. Session tags allow temporary credentials to be scoped dynamically based on tenant context.
First, the data access role must allow sts:TagSession (Option A) so tenant identifiers can be passed securely at runtime. The Lambda function assumes this role and includes the tenant name as a session tag (Option F).
Next, IAM policies on the data access role restrict access to S3 object prefixes and DynamoDB partition keys by evaluating the session tag (Option C). This ensures that even if a bug occurs, the role cannot access data belonging to another tenant.
Resource-based DynamoDB policies and RCPs are unnecessary here and add complexity.
This approach follows AWS's recommended attribute-based access control (ABAC) model and provides strong tenant isolation with minimal operational overhead.

NEW QUESTION # 399
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