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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q18-Q23):

NEW QUESTION # 18
A company runs a batch processing application by using AWS Lambda functions and Amazon API Gateway APIs with deployment stages for development, user acceptance testing and production A development team needs to configure the APIs in the deployment stages to connect to third-party service endpoints.
Which solution will meet this requirement?

A. Encode the third-party service endpoints as query parameters in the API Gateway request URL.
B. Store the third-party service endpoints in Lambda layers that correspond to the stage
C. Store the third-party service endpoints in API Gateway stage variables that correspond to the stage
D. Store the third-party service endpoint for each environment in AWS AppConfig

Answer: C

Explanation:
API Gateway Stage Variables: These are designed for configuring dynamic values for your APIs in different deployment stages (dev, test, prod). Here's how to use them for third-party endpoints:
In the API Gateway console, access the "Stages" section of your API.
For each stage, create a stage variable named something like thirdPartyEndpoint.
Set the value of this variable to the actual endpoint URL for that specific environment.
When configuring API requests within your API Gateway method, reference this endpoint using ${stageVariables.thirdPartyEndpoint}.
Why Stage Variables Excel Here:
Environment Isolation: This approach keeps the endpoint configuration specific to each deployment stage, ensuring the right endpoints are used during development, testing, and production cycles.
Ease of Management: You manage the endpoints directly through the API Gateway console without additional infrastructure.
Reference:
Amazon API Gateway Stage Variables: https://docs.aws.amazon.com/apigateway/latest/developerguide/stage-variables.html

NEW QUESTION # 19
A developer works for a company that only has a single pre-production AWS account with an AWS CloudFormation AWS Serverless Application Model (AWS SAM) stack. The developer made changes to an existing AWS Lambda function specified in the AWS SAM template and additional Amazon Simple Notification service (Amazon SNS) topics.
The developer wants to do a one-time deploy 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 deploy the SAM application to a new AWS account designated for a development environment.
B. 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.
C. Use the AWS SAM CLI to package and deploy the SAM application to the pre-production AWS account. Specify the debug parameter.
D. 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.

Answer: A

Explanation:
https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/using-sam-cli- deploy.html

NEW QUESTION # 20
A developer has an application that is composed of many different AWS Lambda functions. The Lambda functions all use some of the same dependencies. To avoid security issues the developer is constantly updating the dependencies of all of the Lambda functions. The result is duplicated effort to reach function.
How can the developer keep the dependencies of the Lambda functions up to date with the LEAST additional complexity?

A. Define a maintenance window for the Lambda functions to ensure that the functions get updated copies of the dependencies.
B. Upgrade the Lambda functions to the most recent runtime version.
C. Define a Lambda layer that contains all of the shared dependencies.
D. Use an AWS CodeCommit repository to host the dependencies in a centralized location.

Answer: C

Explanation:
This solution allows the developer to keep the dependencies of the Lambda functions up to date with the least additional complexity because it eliminates the need to update each function individually. A Lambda layer is a ZIP archive that contains libraries, custom runtimes, or other dependencies. The developer can create a layer that contains all of the shared dependencies and attach it to multiple Lambda functions. When the developer updates the layer, all of the functions that use the layer will have access to the latest version of the dependencies.
Reference: [AWS Lambda layers]

NEW QUESTION # 21
A developer supports an application that accesses data in an Amazon DynamoDB table. One of the item attributes is expirationDate in the timestamp format. The application uses this attribute to find items, archive them, and remove them from the table based on the timestamp value The application will be decommissioned soon, and the developer must find another way to implement this functionality. The developer needs a solution that will require the least amount of code to write.
Which solution will meet these requirements?

A. Create two AWS Lambda functions one to delete the items and one to process the items Create a DynamoDB stream Use the Deleteltem API operation to delete the items based on the expirationDate attribute Use the GetRecords API operation to get the items from the DynamoDB stream and process them
B. Enable TTL on the expirationDate attribute in the table Specify an Amazon Simple Queue Service (Amazon SQS> dead-letter queue as the target to delete the items Create an AWS Lambda function to process the items
C. Create two AWS Lambda functions, one to delete the items and one to process the items. Create an Amazon EventBndge scheduled rule to invoke the Lambda Functions Use the Deleteltem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB table and process them.
D. Enable TTL on the expirationDate attribute in the table. Create a DynamoDB stream. Create an AWS Lambda function to process the deleted items. Create a DynamoDB trigger for the Lambda function.

Answer: D

Explanation:
TTL for Automatic Deletion: DynamoDB's Time-to-Live effortlessly deletes expired items without manual intervention.
DynamoDB Stream: Captures changes to the table, including deletions of expired items, triggering downstream actions.
Lambda for Processing: A Lambda function connected to the stream provides custom logic for handling the deleted items.
Code Efficiency: This solution leverages native DynamoDB features and stream-based processing, minimizing the need for custom code.
Reference:
DynamoDB TTL Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html DynamoDB Streams Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html

NEW QUESTION # 22
A developer is investigating recent performance bottlenecks within a company's distributed web application that runs on various AWS services, including Amazon EC2 and Amazon DynamoDB.
How can the developer determine the length of time of the application's calls to the various downstream AWS services?

A. Use Amazon CloudWatch Logs to analyze application logs for the various calls.
B. Implement AWS X-Ray with client handlers for the various downstream calls.
C. Enable VPC Flow Logs and analyze them in Amazon OpenSearch Service.
D. Enable detailed monitoring for the EC2 instances in Amazon CloudWatch.

Answer: B

Explanation:
AWS X-Ray traces end-to-end requests through your distributed application. By instrumenting your application with X-Ray client handlers (for the AWS SDK and HTTP clients), you can capture and visualize the timing of each call to downstream services, such as DynamoDB, S3, or other APIs, directly in the X-Ray service map and trace details. This provides precise latency measurements without modifying your logging framework or overloading CloudWatch Logs.

NEW QUESTION # 23
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