AI Associate Salesforce Einstein AI Features Practice Question
A company is building an Einstein Bot that needs to handle customer inquiries and escalate to a human agent when necessary. The bot must also analyze conversations to improve its performance. Which THREE capabilities should they configure? (Choose 3)
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 and entities to understand customer requests
To handle inquiries, the bot needs intents/entities for understanding. For escalation, it needs handoff settings. For analysis, bot analytics provides insights.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Einstein Case Classification to categorize conversations
Why it's wrong here
Case classification is for cases, not bot conversations.
- ✗
Einstein Discovery to analyze bot logs
Why it's wrong here
Discovery is separate; bot analytics is built-in.
- ✓
Intents and entities to understand customer requests
Why this is correct
Intents and entities are fundamental for NLP understanding in bots.
- ✓
Bot analytics to monitor performance and conversation outcomes
Why this is correct
Analytics provide metrics like resolution rates and user satisfaction.
- ✓
Handoff to human agent when the bot cannot resolve
Why this is correct
Handoff configuration allows seamless escalation to human agents.
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