The correct answer is that you need to ensure at least 100 opportunities have been won in the last 18 months and then enable Einstein Opportunity Scoring from Setup. This activation requirement exists because Einstein’s predictive model needs a statistically significant historical dataset—specifically, 100 closed-won records within a rolling 18-month window—to train its scoring algorithm and generate accurate lead-to-opportunity conversion predictions. On the Salesforce AI Associate exam, this question tests your understanding that activation is a system-level prerequisite, not a user permission; a common trap is confusing the activation steps with user access steps, such as assigning permission sets, which are needed only after activation. Another trap is assuming you must deactivate other scoring rules, but Einstein Opportunity Scoring can run alongside them. For the exam, remember the memory tip: “100 wins in 18 months to begin” — focus on the data volume and time window, not user setup, to avoid the permission-set distraction.
AI Associate AI Fundamentals Practice Question
This AI Associate practice question tests your understanding of ai fundamentals. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 sales operations admin wants to use Einstein Opportunity Scoring. Which two steps are required to activate Einstein Opportunity Scoring? (Select two answers.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable Einstein in the Einstein Setup menu.
Options B and C are correct: you need historical data (100 won opps in 18 months) and enable Einstein. Option A is incorrect because the permission set is needed for user access but not for activation. Option D is optional, not required. Option E is incorrect because you don't need to deactivate other scoring rules.
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.
✓
Enable Einstein in the Einstein Setup menu.
Why this is correct
Einstein must be turned on at the org level.
Related concept
Read the scenario before looking for a memorised answer.
✓
Ensure that at least 100 opportunities have been won in the last 18 months.
Why this is correct
This is the data requirement for the model.
Related concept
Read the scenario before looking for a memorised answer.
✗
Create a custom scoring model specific to the business.
Why it's wrong here
Standard model is used by default; custom is optional.
✗
Deactivate any existing scoring rules.
Why it's wrong here
Scoring rules can coexist with Einstein Opportunity Scoring.
✗
Assign the Einstein Opportunity Scoring permission set to users.
Why it's wrong here
This is needed for viewing scores, not for activation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 AI Associate exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
AI Fundamentals — This question tests AI Fundamentals — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable Einstein in the Einstein Setup menu. — Options B and C are correct: you need historical data (100 won opps in 18 months) and enable Einstein. Option A is incorrect because the permission set is needed for user access but not for activation. Option D is optional, not required. Option E is incorrect because you don't need to deactivate other scoring rules.
What should I do if I get this AI Associate question wrong?
Identify which AI Associate exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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