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

Key: Most cost-effective solution Key: Extract the names of ingredients from recipe records Key: The company does not have any employees with machine learning knowledge Not B because Forecast is used for making predictions in time series, not for extracting text or ingredients. Not C because it would be too expensive and involve too much operational overhead. Not D because SageMaker is designed for creating custom machine learning models, and the company lacks employees with machine learning knowledge. Conclusion: The answer is A because Comprehend is used for natural language processing (NLP), which in this case can extract ingredient names from the recipes effectively. so the answer is A because comprehend is used for nlp (natular languages processing) which is in this case use for to extract the names of the recipes

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

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

A correct

A is correct

shouldn't it be A?