AI Associate Salesforce Einstein AI Features Practice Question
A service manager wants to reduce case resolution time by automatically categorizing incoming cases and suggesting relevant knowledge articles. The team has limited data science expertise. Which combination of Einstein features should be used?
⚠ Common exam trap
Many exam-takers confuse Einstein's general AI capabilities (like Vision or Discovery) with the specific, out-of-the-box features designed for service use cases, leading them to choose options that require custom model training or address different business processes.
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 Case Classification and Einstein Article Recommendations
Einstein Case Classification uses machine learning to automatically categorize incoming cases based on historical data, and Einstein Article Recommendations suggests relevant knowledge articles to agents, directly addressing the goal of reducing case resolution time without requiring extensive data science expertise.
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 and Einstein Discovery
Why it's wrong here
These are for sales and analytics, not case categorization and article suggestions.
- ✗
Einstein Bots and Einstein Conversation Insights
Why it's wrong here
Bots automate conversations; Insights analyze calls; neither categorizes cases or suggests articles.
- ✓
Einstein Case Classification and Einstein Article Recommendations
Why this is correct
Correct. These two features directly address categorization and article suggestions.
- ✗
Einstein Vision and Language Platform
Why it's wrong here
Platform Services require custom development and are not point-and-click.
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