AI Associate Salesforce Einstein AI Features Practice Question
A service team wants to use Einstein GPT to improve agent productivity. Which TWO Einstein GPT features are designed specifically for service scenarios?
⚠ Common exam trap
Test-takers frequently confuse Einstein GPT features across domains (Sales vs. Service) and select options like Lead Scoring or Opportunity Scoring, which are sales-specific, instead of recognizing that only Service GPT features are designed for service scenarios.
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
✓
Service GPT - Case Summaries
Service GPT - Case Summaries is correct because it automatically generates concise summaries of service cases, enabling agents to quickly understand the context without reading through lengthy case histories. This directly improves agent productivity by reducing handle time and accelerating case resolution.
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 Lead Scoring
Why it's wrong here
Lead Scoring is a sales feature.
- ✓
Service GPT - Case Summaries
Why this is correct
Case summaries are a core Service GPT feature.
- ✓
Service GPT - Knowledge Article Drafts
Why this is correct
Article drafting is a Service GPT feature.
- ✗
Sales GPT - Email Generation
Why it's wrong here
This is a sales feature, not service.
- ✗
Einstein Opportunity Scoring
Why it's wrong here
Opportunity Scoring is a sales feature.
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