AI Associate Salesforce Einstein AI Features Practice Question
A service manager wants to use AI to automatically suggest knowledge articles to agents during case handling. Which TWO Einstein features can fulfill this requirement?
⚠ Common exam trap
A common mix-up: candidates confuse Einstein Next Best Action (which recommends generic actions or offers) with Einstein Article Recommendations, but Next Best Action is a broader feature for recommending any action (e.g., discounts, workflows) and requires custom configuration, whereas Article Recommendations is purpose-built for knowledge articles.
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
✓
Einstein Article Recommendations
Einstein Article Recommendations uses AI to automatically suggest relevant knowledge articles to agents during case handling, based on the case context and historical data. This feature is specifically designed to improve agent efficiency by surfacing the most helpful articles without manual search.
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 Discovery
Why it's wrong here
Provides analysis but not article suggestions.
- ✓
Einstein Article Recommendations
Why this is correct
Directly suggests knowledge articles to agents.
- ✓
Einstein Next Best Action
Why this is correct
Can recommend articles as actions via strategy.
- ✗
Einstein Case Classification
Why it's wrong here
Classifies cases, does not suggest articles.
- ✗
Einstein Bots
Why it's wrong here
Can provide articles in chat but not a dedicated article suggestion feature for agents.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.