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Question 674 - SAA-C03 discussion

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A company needs to extract the names of ingredients from recipe records that are stored as text files in an Amazon S3 bucket A web application will use the ingredient names to query an Amazon DynamoDB table and determine a nutrition score.

The application can handle non-food records and errors The company does not have any employees who have machine learning knowledge to develop this solution

Which solution will meet these requirements MOST cost-effectively?

A.
Use S3 Event Notifications to invoke an AWS Lambda function when PutObject requests occur Program the Lambda function to analyze the object and extract the ingredient names by using Amazon Comprehend Store the Amazon Comprehend output in the DynamoDB table.
Answers
A.
Use S3 Event Notifications to invoke an AWS Lambda function when PutObject requests occur Program the Lambda function to analyze the object and extract the ingredient names by using Amazon Comprehend Store the Amazon Comprehend output in the DynamoDB table.
B.
Use an Amazon EventBridge rule to invoke an AWS Lambda function when PutObject requests occur. Program the Lambda function to analyze the object by using Amazon Forecast to extract the ingredient names Store the Forecast output in the DynamoDB table.
Answers
B.
Use an Amazon EventBridge rule to invoke an AWS Lambda function when PutObject requests occur. Program the Lambda function to analyze the object by using Amazon Forecast to extract the ingredient names Store the Forecast output in the DynamoDB table.
C.
Use S3 Event Notifications to invoke an AWS Lambda function when PutObject requests occur Use Amazon Polly to create audio recordings of the recipe records. Save the audio files in the S3 bucket Use Amazon Simple Notification Service (Amazon SNS) to send a URL as a message to employees Instruct the employees to listen to the audio files and calculate the nutrition score Store the ingredient names in the DynamoDB table.
Answers
C.
Use S3 Event Notifications to invoke an AWS Lambda function when PutObject requests occur Use Amazon Polly to create audio recordings of the recipe records. Save the audio files in the S3 bucket Use Amazon Simple Notification Service (Amazon SNS) to send a URL as a message to employees Instruct the employees to listen to the audio files and calculate the nutrition score Store the ingredient names in the DynamoDB table.
D.
Use an Amazon EventBridge rule to invoke an AWS Lambda function when a PutObject request occurs Program the Lambda function to analyze the object and extract the ingredient names by using Amazon SageMaker Store the inference output from the SageMaker endpoint in the DynamoDB table.
Answers
D.
Use an Amazon EventBridge rule to invoke an AWS Lambda function when a PutObject request occurs Program the Lambda function to analyze the object and extract the ingredient names by using Amazon SageMaker Store the inference output from the SageMaker endpoint in the DynamoDB table.
Suggested answer: A

Explanation:

This solution meets the following requirements:

It is cost-effective, as it only uses serverless components that are charged based on usage and do not require any upfront provisioning or maintenance.

It is scalable, as it can handle any number of recipe records that are uploaded to the S3 bucket without any performance degradation or manual intervention.

It is easy to implement, as it does not require any machine learning knowledge or complex data processing logic. Amazon Comprehend is a natural language processing service that can automatically extract entities such as ingredients from text files. The Lambda function can simply invoke the Comprehend API and store the results in the DynamoDB table.

It is reliable, as it can handle non-food records and errors gracefully. Amazon Comprehend can detect the language and domain of the text files and return an appropriate response. The Lambda function can also implement error handling and logging mechanisms to ensure the data quality and integrity.

Using AWS Lambda with Amazon S3 - AWS Lambda

What Is Amazon Comprehend? - Amazon Comprehend

Working with Tables - Amazon DynamoDB

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asked 16/09/2024
Frank Nwabueze
34 questions
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