AIF-C01 Question 35
Select 3A company wants to build a multilingual chatbot for its customer support team. The chatbot should understand customer queries in multiple languages, respond in the same language, and use text-to-speech for voice-based interaction. Which combination of AWS managed AI/ML services can best achieve this?
- A
Amazon Lex for natural language understanding and dialogue management
- B
Amazon Translate to detect and translate customer queries
- C
Amazon Comprehend for analyzing customer sentiment in real time
- D
Amazon Polly to convert chatbot responses into speech
- E
AWS SageMaker to train a custom language model for the chatbot
Show answer and explanation
Correct answers: A, B, D
Explanation
To build a multilingual chatbot, Amazon Lex provides the foundation for conversational AI, Amazon Translate enables language detection and translation, and Amazon Polly adds text-to-speech functionality for voice-based interaction. These managed services work together to fulfill the requirements of the scenario without the need for custom model training or additional sentiment analysis.
- A. Correct.
Amazon Lex is ideal for building conversational interfaces like chatbots as it provides natural language understanding and dialogue management capabilities.
- B. Correct.
Amazon Translate can detect and translate text between supported languages, which is essential for handling multilingual queries.
- C. Incorrect.
Amazon Comprehend is used for sentiment analysis and text classification but is not required for understanding or responding to multilingual queries in this scenario.
- D. Correct.
Amazon Polly converts text to lifelike speech, enabling voice-based interaction, which aligns with the requirements of the chatbot.
- E. Incorrect.
AWS SageMaker is a powerful service for training custom machine learning models, but in this case, the scenario can be addressed using managed AI services without requiring custom model training.