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DVA-C02 - AWS Certified Developer - Associate

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DVA-C02 Questions and Answers

Question # 1

A developer is working on a Python application that runs on Amazon EC2 instances. The developer wants to enable tracing of application requests to debug performance issues in the code.

Which combination of actions should the developer take to achieve this goal? (Select TWO)


Install the Amazon CloudWatch agent on the EC2 instances.


Install the AWS X-Ray daemon on the EC2 instances.


Configure the application to write JSON-formatted togs to /var/log/cloudwatch.


Configure the application to write trace data to /Var/log-/xray.


Install and configure the AWS X-Ray SDK for Python in the application.

Question # 2

A developer is working on a serverless application that needs to process any changes to an Amazon DynamoDB table with an AWS Lambda function.

How should the developer configure the Lambda function to detect changes to the DynamoDB table?


Create an Amazon Kinesis data stream, and attach it to the DynamoDB table. Create a trigger to connect the data stream to the Lambda function.


Create an Amazon EventBridge rule to invoke the Lambda function on a regular schedule. Conned to the DynamoDB table from the Lambda function to detect changes.


Enable DynamoDB Streams on the table. Create a trigger to connect the DynamoDB stream to the Lambda function.


Create an Amazon Kinesis Data Firehose delivery stream, and attach it to the DynamoDB table. Configure the delivery stream destination as the Lambda function.

Question # 3

A developer is designing a serverless application with two AWS Lambda functions to process photos. One Lambda function stores objects in an Amazon S3 bucket and stores the associated metadata in an Amazon DynamoDB table. The other Lambda function fetches the objects from the S3 bucket by using the metadata from the DynamoDB table. Both Lambda functions use the same Python library to perform complex computations and are approaching the quota for the maximum size of zipped deployment packages.

What should the developer do to reduce the size of the Lambda deployment packages with the LEAST operational overhead?


Package each Python library in its own .zip file archive. Deploy each Lambda function with its own copy of the library.


Create a Lambda layer with the required Python library. Use the Lambda layer in both Lambda functions.


Combine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single .zip file archive.


Download the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.

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