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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Troubleshooting and Optimization	18%	- Performance optimization 1. Fault tolerance and resilience patterns 2. Application performance tuning - Monitoring and logging 1. Amazon CloudWatch metrics and logs
Development with AWS Services	32%	- AWS core services development 1. Amazon DynamoDB integration patterns 2. Amazon S3 usage in applications 3. AWS Lambda functions development - Application development and integration 1. Event-driven architectures with SNS/SQS 2. API Gateway and REST APIs
Deployment	24%	- CI/CD and deployment strategies 1. AWS CodeBuild and CodeDeploy usage 2. AWS CodePipeline workflows - Infrastructure as code 1. AWS CloudFormation templates
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

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Amazon AWS Certified Developer - Associate Sample Questions (Q186-Q191):

NEW QUESTION # 186
A developer needs to give a new application the ability to retrieve configuration data.
The application must be able to retrieve new configuration data values without the need to redeploy the application code. If the application becomes unhealthy because of a bad configuration change, the developer must be able to automatically revert the configuration change to the previous value.

A. Use AWS Secrets Manager to manage and store the configuration data. Integrate Secrets Manager with a custom AWS Config rule. Attach a custom AWS Systems Manager document to the rule that automatically rolls back any bad configuration changes.
B. Use AWS AppConfig to manage and store the configuration data. Integrate AWS AppConfig with Amazon CloudWatch to monitor changes to the application. Set up CloudWatch Application Signals to roll back any bad configuration changes.
C. Use AWS AppConfig to manage and store the configuration data. Integrate AWS AppConfig with Amazon CloudWatch to monitor changes to the application. Set up an alarm to automatically roll back any bad configuration changes.
D. Use AWS Secrets Manager to manage and store the configuration data. Integrate Secrets Manager with a custom AWS Config rule that has remediation actions to track changes in the application and to roll back any bad configuration changes.

Answer: B

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
* Option D: AWS AppConfig with CloudWatch Application Signals
* AWS AppConfig is designed for managing and deploying application configurations dynamically, without redeployment.
* CloudWatch Application Signals provide automatic rollback mechanisms in case of an unhealthy application state due to bad configuration changes.
* This solution meets the requirements with minimal operational overhead by ensuring both dynamic updates and rollback functionality.
* Why Other Options Are Incorrect:
* Option A and B:AWS Secrets Manager is designed for secrets management, not dynamic application configuration. Custom Config rules add unnecessary complexity.
* Option C:While CloudWatch alarms can monitor application changes, using alarms for rollback requires manual setup and lacks the automatic rollback provided by Application Signals.

NEW QUESTION # 187
A developer maintains a serverless application that uses AWS Lambda to process financial transaction files uploaded to an Amazon S3 bucket. A Lambda function is scheduled to run once per hour to process the files.
As file uploads increase, the Lambda function occasionally exceeds the 15-minute execution limit. The developer must handle higher file volumes, reduce processing time, and prevent duplicate file processing.
Which solution will meet these requirements?

A. Configure Amazon S3 event notifications to invoke the Lambda function for each uploaded file. Track processed file identifiers in Amazon DynamoDB.
B. Continuously poll the S3 bucket from Lambda and rely on each object's LastModified timestamp.
C. Move the application logic to a single Amazon EC2 instance to process files more efficiently.
D. Use Amazon EventBridge Scheduler to run the Lambda function every 5 minutes to scan the S3 bucket.

Answer: A

Explanation:
AWS Lambda has a maximum execution time of 15 minutes, which makes batch-style processing unsuitable as workloads scale. AWS best practices recommend using event-driven architectures to process individual objects independently and in parallel.
Amazon S3 event notifications invoke Lambda automatically whenever a new object is uploaded. This allows each file to be processed in its own execution, eliminating long-running batch jobs and enabling horizontal scaling. AWS Lambda automatically scales concurrency based on event volume, ensuring faster processing as uploads increase.
To prevent duplicate processing, AWS documentation recommends using an idempotency mechanism.
Storing processed file identifiers or transaction IDs in Amazon DynamoDB provides a highly available, low- latency way to track processed files. DynamoDB's conditional writes can enforce exactly-once processing semantics.
Options B, C, and D either increase operational overhead, reintroduce batching issues, or rely on unreliable polling mechanisms that can miss or reprocess files.
Thus, using S3 events with DynamoDB tracking is the correct and scalable solution.

NEW QUESTION # 188
Given the following AWS CloudFormation template:

What is the MOST efficient way to reference the new Amazon S3 bucket from another AWS CloudFormation template?

A. Add an Export declaration to the Outputs section of the original template and use ImportValue in other templates.
B. Add Exported: true to the Content.Bucket in the original template and use ImportResource in other templates.
C. Create a custom AWS CloudFormation resource that gets the bucket name from the ContentBucket resource of the first stack.
D. Use Fn::Include to include the existing template in other templates and use the ContentBucket resource directly.

Answer: A

Explanation:
By adding an Export declaration to the Outputs section of the original CloudFormation template, you can make the bucket name available for other templates to import and use. This allows you to reference the bucket name directly in other templates without the need for additional resources or custom logic.

NEW QUESTION # 189
A company has a serverless application that uses Amazon API Gateway and AWS Lambda functions to expose a RESTful API. The company uses a continuous integration and continuous delivery (CI/CD) workflow to deploy the application to multiple environments. The company wants to implement automated integration tests after deployment.
A developer needs to set up the necessary infrastructure and processes to automate the deployment and integration tests for the serverless application.

A. Use AWS CloudFormation to create and deploy the application infrastructure in each application environment. Use the AWS CLI to invoke Lambda functions to perform deployment tests after each deployment.
B. Configure API Gateway stages to represent each application environment. Use AWS CloudFormation to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
C. Use AWS CodePipeline to create a CI/CD pipeline. Configure API Gateway stages to represent each application environment. Use AWS CloudFormation templates to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
D. Configure API Gateway stages to represent each application environment. Use AWS SAM templates to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.

Answer: C

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
* Option C: Use AWS CodePipeline for CI/CD Workflow:
* AWS CodePipeline automates the entire CI/CD pipeline, including build, deploy, and test stages.
This minimizes manual effort and integrates well with AWS services.
* API Gateway Stages: Represent different environments, such as dev, test, and prod, allowing isolated deployment and testing.
* AWS CloudFormation Templates: Ensure that the infrastructure for Lambda and API Gateway is consistent across environments.
* AWS CodeBuild for Automated Tests: Validates the deployments in each stage, ensuring integration and functionality are tested post-deployment.
* Why Other Options Are Incorrect:
* Option A and B: While using AWS SAM or CloudFormation for infrastructure management is valid, these options lack the fully automated CI/CD pipeline provided by CodePipeline.
* Option D: Manually invoking Lambda functions using the AWS CLI introduces operational overhead and lacks the automation provided by CodePipeline.
References:
* AWS CodePipeline Documentation
* API Gateway Stages for CI/CD

NEW QUESTION # 190
A developer is building a serverless application that is based on AWS Lambd a. The developer initializes the AWS software development kit (SDK) outside of the Lambda handcar function.
What is the PRIMARY benefit of this action?

A. Provides better error handling
B. Creates a new SDK instance for each invocation
C. Improves legibility and systolic convention
D. Takes advantage of runtime environment reuse

Answer: D

Explanation:
This benefit occurs when initializing the AWS SDK outside of the Lambda handler function because it allows the SDK instance to be reused across multiple invocations of the same function. This can improve performance and reduce latency by avoiding unnecessary initialization overhead. If the SDK is initialized inside the handler function, it will create a new SDK instance for each invocation, which can increase memory usage and execution time.

NEW QUESTION # 191
......

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