AI Associate Salesforce Einstein AI Features Practice Question
A company needs to analyze thousands of customer feedback comments to identify common themes and sentiment. They want to use a prebuilt Salesforce AI solution. Which approach is best?
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
✓
Use Einstein Discovery to analyze the feedback data and identify themes
Einstein Discovery can perform automated statistical analysis on text data to identify themes and patterns, including sentiment analysis, without requiring custom model training.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Einstein Prediction Builder to predict sentiment
Why it's wrong here
Prediction Builder is for binary predictions, not exploratory analysis.
- ✗
Use Einstein Vision and Language Platform to build a custom text classification model
Why it's wrong here
Building a custom model is overkill when Einstein Discovery can surface themes from existing data.
- ✓
Use Einstein Discovery to analyze the feedback data and identify themes
Why this is correct
Discovery's automated analysis can handle large datasets and find meaningful patterns.
- ✗
Use Einstein Bots to collect more feedback
Why it's wrong here
Bots are for conversations, not analyzing existing data.
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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.