AIncorrect
Amazon Lex
Amazon Lex is a service that builds conversational bots (chatbots/IVR).
It is not an intelligent-search service that searches across internal documents, so it is incorrect.
A company wants intelligent search that can find the information it needs with high accuracy using natural-language questions across large numbers of documents scattered across the organization. Which AWS service is MOST suitable?
1 / 1
Select an answer
CorrectC
Explanation
A question asking for the AI service for intelligent document search.
- 1「large numbers of documents」The target of the cross-source search
- 2「using natural-language questions」Natural-language query = Kendra
- 3「find the information it needs with high accuracy」Relevance ranking by ML
BIncorrect
Amazon Comprehend
Amazon Comprehend is an NLP (natural language processing) service that analyzes text. Specifically, it can perform sentiment analysis, entity extraction (people, places, dates, etc.), key-phrase extraction, language detection, and PII (personal information) detection.
It is not a search service that answers questions across large numbers of documents (that is Kendra), so it is incorrect.
CCorrect
Amazon Kendra
Correct. Amazon Kendra is an intelligent search service powered by machine learning. It searches across diverse internal data sources and returns highly relevant answers and documents in response to natural-language questions. It is used to enhance FAQ and knowledge search.
DIncorrect
Amazon EBS
Amazon EBS is block storage attached to EC2.
It is not an AI service for intelligent search, so it is incorrect.
Key Takeaway
“Searching across documents” and “answering natural-language questions” point to Amazon Kendra (intelligent search). Conversational bots are Lex and text analysis is Comprehend — distinguish by purpose.