AI Associate Salesforce Einstein AI Features Practice Question
A company wants to build a chatbot that can understand customer intents like 'open a case' or 'check order status' and route conversations accordingly. They need the bot to be trained with natural language examples. Which Einstein Bot component is used to map user phrases to actions?
⚠ Common exam trap
Watch out — candidates often confuse 'NLP training' (the process) with the actual component (intents) that stores the phrase-to-action mapping, leading them to select option D instead of B.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Intents
Intents are the correct component because they map user phrases (natural language examples) to specific actions or goals, such as 'open a case' or 'check order status'. In Einstein Bot, intents are trained with sample utterances to recognize what the user wants, enabling the bot to route conversations to the appropriate dialog flow.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Entities
Why it's wrong here
Entities extract specific data points (e.g., order number) but do not define the action.
- ✓
Intents
Why this is correct
Intents categorize user input and map to appropriate bot actions.
- ✗
Dialog flows
Why it's wrong here
Dialog flows define the conversation structure but not the mapping of phrases to actions.
- ✗
NLP training
Why it's wrong here
NLP training is the process of teaching the bot, not a component.
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