AIF-C01 Question 34
Select 1A company wants to build a chatbot to handle customer service inquiries in natural language on their website. They also want the chatbot to convert text responses to speech for accessibility. Which combination of AWS managed AI/ML services would best meet this requirement?
- A
Amazon Lex and Amazon Polly
- B
Amazon Comprehend and Amazon Translate
- C
Amazon SageMaker and Amazon Polly
- D
Amazon Transcribe and Amazon Comprehend
- E
Amazon Lex and Amazon Translate
Show answer and explanation
Correct answer: A
Explanation
Amazon Lex is ideal for building chatbots that understand and respond in natural language, while Amazon Polly enables text-to-speech conversion for accessibility. This combination directly addresses the requirements for a customer service chatbot that can interact with users via text and voice.
- A. Correct.
Correct. Amazon Lex can be used to build conversational interfaces like chatbots, and Amazon Polly can convert text responses into lifelike speech for accessibility.
- B. Incorrect.
Incorrect. While Amazon Comprehend can analyze text for sentiment and entities, and Amazon Translate can translate text between languages, they do not directly support building conversational chatbots.
- C. Incorrect.
Incorrect. Amazon SageMaker is used for building, training, and deploying custom ML models, and Amazon Polly converts text to speech. While Polly may help with text-to-speech, SageMaker is not necessary for building a chatbot since Amazon Lex already provides this capability.
- D. Incorrect.
Incorrect. Amazon Transcribe converts speech to text, and Amazon Comprehend analyzes text for meaning. These services do not address building a conversational chatbot or text-to-speech conversion.
- E. Incorrect.
Incorrect. Amazon Lex can build conversational interfaces, but Amazon Translate is used for language translation rather than text-to-speech conversion.