AI Associate Salesforce Einstein AI Features Practice Question
A sales manager wants to use Einstein Opportunity Scoring to improve forecasting. Which TWO statements are true about Einstein Opportunity Scoring?
⚠ Common exam trap
Candidates often confuse the AI-predicted score with a manual rep input (commit amount) or assume the AI can automatically change opportunity stages, when in fact Einstein Scoring is purely a predictive insight tool without write-back capabilities.
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
✓
Score factors are displayed in the Lightning opportunity record.
Einstein Opportunity Scoring automatically surfaces the key factors influencing the predicted score directly on the Lightning opportunity record. This allows sales reps to see which attributes (e.g., deal size, industry, engagement) are driving the win likelihood, enabling them to take targeted actions to improve the forecast.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It can be used to automatically update opportunity stage.
Why it's wrong here
Scoring does not automatically update stages; it provides a score.
- ✗
It compares the AI-predicted score to the rep's commit amount.
Why it's wrong here
Comparing AI prediction to rep commit is done by Einstein Forecasting, not Opportunity Scoring.
- ✓
Score factors are displayed in the Lightning opportunity record.
Why this is correct
Opportunity Scoring shows top factors influencing the score in Lightning.
- ✓
It predicts win likelihood as a score between 1 and 99.
Why this is correct
Opportunity Scoring provides a score from 1 to 99 indicating win probability.
- ✗
It requires the admin to build a custom prediction model.
Why it's wrong here
Opportunity Scoring is a pre-built model, no custom creation needed.
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Same concept, more angles
3 more ways this is tested on AI Associate
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which Einstein feature provides AI-powered predictions for opportunity win likelihood?
easy- A.Einstein Forecasting
- ✓ B.Einstein Opportunity Scoring
- C.Einstein Lead Scoring
- D.Einstein Prediction Builder
Why B: Einstein Opportunity Scoring is a dedicated feature that predicts opportunity win probability on a scale of 1-99.
Variation 2. A sales operations manager wants to use Einstein Opportunity Scoring to improve win rates. They want to view the opportunity score and understand why a particular score is high or low. Where can they see the score and explanation in Salesforce Lightning? (Choose TWO)
medium- A.In Salesforce Mobile App under 'Today'
- B.In the Activity Timeline
- ✓ C.In the Opportunity list view as a column
- ✓ D.In the Opportunity record's Einstein score component
- E.In the Einstein Discovery dashboard
Why C: Einstein Opportunity Scoring appears in the Opportunity record page as a score field and a component with explanation. It can also be added to list views and reports. The score field is automatically added to the Opportunity object.
Variation 3. A sales team wants to use Einstein Opportunity Scoring to improve win rates. Which TWO statements about Einstein Opportunity Scoring are correct? (Choose 2)
medium- ✓ A.It provides a score from 1 to 99 indicating the likelihood of winning the opportunity
- B.It requires a minimum of 500 closed opportunities in the last 12 months to activate
- C.The score can be accessed via the REST API out-of-the-box
- D.It automatically updates the opportunity stage based on the score
- ✓ E.The score factors and influences are displayed on the opportunity record page in Lightning
Why A: Opportunity Scoring predicts win likelihood (1-99) and factors are visible in Lightning. Historical data is used, but the score is not directly accessible via external API without additional setup.
JA
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.