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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q838-Q843):

NEW QUESTION # 838
A development team is creating a serverless application that uses AWS Lambda functions. The team wants to streamline a testing workflow by sharing test events across multiple developers within the same AWS account. The team wants to ensure all developers can use consistent test events without compromising security.

A. Export test events as JSON files. Store the files in an Amazon S3 bucket. Configure granular IAM permissions to allow the developers to access the S3 bucket.
B. Configure test events to be shareable. Configure granular IAM permissions to allow the developers to access shared test events.
C. Set up a Git repository to store test events. Provide the developers with access to the repository.
D. Store test events in an Amazon DynamoDB table. Create an AWS Lambda function to retrieve shared test events for the developers.

Answer: A

Explanation:
Comprehensive and Detailed Step-by-Step
Option A: Use Amazon S3 for Shared Test Events:
Storing JSON test event files in an S3 bucket provides a centralized, cost-effective, and highly available solution.
Granular IAM policies can restrict access to specific developers or roles, ensuring security while maintaining consistency for shared test events.
This solution has minimal operational overhead and integrates easily with existing workflows.
Why Other Options Are Incorrect:
Option B: Using DynamoDB and a Lambda function introduces unnecessary complexity for a relatively simple requirement. S3 provides a simpler and more cost-efficient solution.
Option C: AWS Lambda test events are not inherently shareable across developers, making this option invalid.
Option D: Using a Git repository adds operational overhead and requires developers to clone/update repositories for access, which is more cumbersome compared to S3.
Reference:
Amazon S3 for Centralized Storage

NEW QUESTION # 839
A developer is building an application that processes a stream of user-supplied data. The data stream must be consumed by multiple Amazon EC2 based processing applications in parallel and in real time. Each processor must be able to resume without losing data if there is a service interruption. The application architect plans to add other processors in the near future, and wants to minimize the amount of data duplication involved.
Which solution will satisfy these requirements?

A. Publish the data to Amazon Simple Queue Service (Amazon SQS).
B. Publish the data to Amazon Kinesis Data Streams.
C. Publish the data to Amazon EventBridge.
D. Publish the data to Amazon Data Firehose.

Answer: B

NEW QUESTION # 840
A developer works for a company that only has a single pre-production AWS account with an AWS CloudFormation AWS SAM stack. The developer made changes to an existing AWS Lambda function specified in the AWS SAM template and additional Amazon SNS topics.
The developer wants to do a one-time deployment of the changes to test if the changes are working. The developer does not want to impact the existing pre-production application that is currently being used by other team members as part of the release pipeline.
Which solution will meet these requirements?

A. Use the AWS SAM CLI to package and create a change set against the pre-production AWS account.
Execute the change set in a new AWS account designated for a development environment.
B. Update the CloudFormation stack in the pre-production account. Add a separate stage that points to a new AWS account designated for a development environment.
C. Use the AWS SAM CLI to package and deploy the SAM application to the pre-production AWS account. Specify the debug parameter.
D. Use the AWS SAM CLI to package and deploy the SAM application to a new AWS account designated for a development environment.

Answer: D

Explanation:
The core requirement is to perform a one-time deployment for testing without impacting the existing pre- production stack that other team members rely on. The safest way to avoid disruption is to deploy into an isolated AWS account (a dedicated development/testing account) instead of modifying the shared pre- production environment.
Option C achieves this with the least effort: use the AWS SAM CLI to package and deploy the same SAM application into a new AWS account designated for development. This creates an isolated copy of the stack (Lambda + SNS topics) where the developer can validate changes without affecting the shared pre-production deployment or the release pipeline.
Option A still deploys into pre-production, which directly violates the requirement to avoid impacting the existing application. A "debug parameter" does not prevent resource updates or side effects.
Option B is inconsistent: a CloudFormation change set is created against a specific account/stack. You cannot create a change set in one account and "execute it" in a different account as stated. Cross-account execution would require different credentials and a separate deployment process.
Option D introduces additional pipeline/stage complexity and is not necessary for a one-time test; it also implies changing the existing stack/pipeline, which can itself cause disruption.

NEW QUESTION # 841
A developer is creating a mobile application that will not require users to log in.
What is the MOST efficient method to grant users access to AWS resources'?

A. Use Amazon Cognito to associate unauthenticated users with an IAM role that has limited access to resources.
B. Use an identity provider to securely authenticate with the application.
C. Create credentials using AWS KMS and apply these credentials to users when using the application.
D. Create an AWS Lambda function to create an 1AM user when a user accesses the application.

Answer: A

Explanation:
This solution is the most efficient method to grant users access to AWS resources without requiring them to log in. Amazon Cognito is a service that provides user sign-up, sign-in, and access control for web and mobile applications. Amazon Cognito identity pools support both authenticated and unauthenticated users. Unauthenticated users receive access to your AWS resources even if they aren't logged in with any of your identity providers (IdPs). You can use Amazon Cognito to associate unauthenticated users with an IAM role that has limited access to resources, such as Amazon S3 buckets or DynamoDB tables. This degree of access is useful to display content to users before they log in or to allow them to perform certain actions without signing up. Using an identity provider to securely authenticate with the application will require users to log in, which does not meet the requirement. Creating an AWS Lambda function to create an IAM user when a user accesses the application will incur unnecessary costs and complexity, and may pose security risks if not implemented properly. Creating credentials using AWS KMS and applying them to users when using the application will also incur unnecessary costs and complexity, and may not provide fine-grained access control for resources.

NEW QUESTION # 842
A photo sharing application uses Amazon S3 to store image files. All user images are manually audited for inappropriate content by a third-party company. The audits are completed 1-24 hours after user upload and the results are written to an Amazon DynamoDB table, which uses the S3 object key as a primary key. The database items can be queried by using a REST API created by the third-party company.
An application developer needs to implement an automated process to tag all S3 objects with the results of the content audit.
What should the developer do to meet these requirements in the MOST operationally efficient way?

A. Create an AWS Lambda function to run in response to the s3:ObjectCreated event type. Write the S3 key to an Amazon Simple Queue Service (Amazon SQS) queue with a visibility timeout of 24 hours. Create and configure a second Lambda function to read items from the queue. Retrieve the results for each item from the DynamoDB table. Tag each S3 object accordingly.
B. Create an AWS Lambda function to load all untagged S3 objects. Retrieve the results for each item from the REST API and tag each S3 object accordingly. Create and configure an Amazon EventBridge rule to run at regular intervals. Set the Lambda function as a target for the EventBridge rule.
C. Create an AWS Lambda function to run in response to the s3:ObjectCreated event type. Integrate the function into an AWS Step Functions standard workflow. Define an AWS Step Functions Wait state and set the value to 24 hours. Create and configure a second Lambda function to retrieve the audit results and tag the S3 objects accordingly after the Wait state is over.
D. Launch an Amazon EC2 instance. Deploy a script to the EC2 instance to use the external database results to tag the S3 objects accordingly. Configure a crontab file to run the script at regular intervals.

Answer: C

NEW QUESTION # 843
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