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Exam AWS Certified Solutions Architect - Associate SAA-C03 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 799 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03
Question #: 799
Topic #: 1
[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

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.
  • 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.
  • 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.
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Suggested Answer: A 🗳️
by asdfcdsxdfc at March 5, 2024, 10:24 p.m.
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Scheldon
4 months ago
Selected Answer: A
AnswerA Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. Use Amazon Comprehend to create new products based on understanding the structure of documents. For example, using Amazon Comprehend you can search social networking feeds for mentions of products or scan an entire document repository for key phrases. https://docs.aws.amazon.com/comprehend/latest/dg/what-is.html
upvoted 2 times
...
fae3297
4 months, 1 week ago
Selected Answer: A
A seems right B. Forecast is time-series C. Using Polly to create audio recordings just to make your employees listen to them seems inefficient to say the least D. Question asks for no ML. SageMaker = ML
upvoted 2 times
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seetpt
7 months, 1 week ago
Selected Answer: A
A correct
upvoted 4 times
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seetpt
7 months, 1 week ago
Selected Answer: A
A is correct
upvoted 2 times
...
asdfcdsxdfc
7 months, 2 weeks ago
shouldn't it be A?
upvoted 2 times
...

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