Question 3
Domain 2 — Data, Machine Learning, and Model DevelopmentA technology company builds a conversational AI chatbot for customer service. The chatbot must understand user intentions, extract specific information from queries, maintain conversation context, and generate appropriate responses. Which three components are essential for this conversational AI system? (Select three!)
Correct answer: ABC
Explanation
Intent classification is essential because the chatbot must "understand user intentions" and determine the user’s goal from each message. In a conversational AI system, intent classification works with entity extraction and dialogue management to interpret queries, maintain context, and generate appropriate responses.
Why each option is right or wrong
A. Intent classification to determine user goals
The prompt describes the core pipeline of a conversational system: first identify the user’s goal, then pull out the relevant fields from the utterance, and then use prior turns to keep the exchange coherent. In standard conversational AI architecture, that means intent classification, entity extraction (slot filling), and dialogue management are the three required components; without intent classification, the system cannot route the request or choose the correct response strategy.
B. Entity extraction to identify specific values in queries
C. Dialog management to maintain conversation state and flow
D. Image segmentation to process visual inputs
E. Reinforcement learning with robot agents
F. Time series forecasting for sequence prediction