- A
In the Einstein Setup menu under Lead Scoring Models
Why wrong: Setup shows model settings, not per-lead factor breakdown.
- B
By contacting Salesforce support for a model explanation
Why wrong: Support does not provide per-lead factor explanations; it's available in the UI.
- C
On the lead record, in the Einstein Lead Score component, by clicking 'Score Factors'
The lead record displays the score and an expandable 'Score Factors' section showing contributing fields.
- D
By running a report on the Lead object with the Einstein Score field
Why wrong: Reports show scores but not the factors behind them.
Question 742 of 1,000
AI Associate Salesforce Einstein AI Features Practice Question
This AI Associate practice question tests your understanding of salesforce einstein ai features. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company uses Einstein Lead Scoring but notices that many leads with high scores are not converting. The admin wants to understand which factors are influencing the score. Where can the admin find this information?
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
✓
On the lead record, in the Einstein Lead Score component, by clicking 'Score Factors'
Option C is correct because the Einstein Lead Score component on the lead record includes a 'Score Factors' link that, when clicked, displays the top positive and negative factors influencing the lead score. This is the designated UI element for admins to gain transparency into which attributes (e.g., source, industry, behavior) are driving the score, without needing to access setup menus or external support.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
In the Einstein Setup menu under Lead Scoring Models
Why it's wrong here
Setup shows model settings, not per-lead factor breakdown.
- ✗
By contacting Salesforce support for a model explanation
Why it's wrong here
Support does not provide per-lead factor explanations; it's available in the UI.
- ✓
On the lead record, in the Einstein Lead Score component, by clicking 'Score Factors'
Why this is correct
The lead record displays the score and an expandable 'Score Factors' section showing contributing fields.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
By running a report on the Lead object with the Einstein Score field
Why it's wrong here
Reports show scores but not the factors behind them.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume the model configuration or a report would show factor details, but Salesforce deliberately hides factor breakdowns behind the lead record component to emphasize that this is a per-record, UI-level insight, not a setup or reporting feature.
Trap categories for this question
Command / output trap
Setup shows model settings, not per-lead factor breakdown.
Detailed technical explanation
How to think about this question
The Einstein Lead Scoring model uses a gradient-boosted machine learning algorithm trained on historical conversion data. The 'Score Factors' feature surfaces the top three positive and negative factors per lead by analyzing the model's feature importance for that specific prediction, allowing admins to see, for example, that 'Industry = Technology' adds +15 points while 'Days Since Last Activity > 30' subtracts -10 points. This transparency is critical for troubleshooting low conversion rates, as it reveals whether the model is weighting irrelevant fields or missing key conversion signals.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the AI Associate exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AI Associate question test?
Salesforce Einstein AI Features — This question tests Salesforce Einstein AI Features — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: On the lead record, in the Einstein Lead Score component, by clicking 'Score Factors' — Option C is correct because the Einstein Lead Score component on the lead record includes a 'Score Factors' link that, when clicked, displays the top positive and negative factors influencing the lead score. This is the designated UI element for admins to gain transparency into which attributes (e.g., source, industry, behavior) are driving the score, without needing to access setup menus or external support.
What should I do if I get this AI Associate question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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.
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