The answer is that Einstein must be enabled in Setup and the org must have at least 50 closed-won opportunities in the last 365 days. These two requirements are non-negotiable because Einstein Opportunity Scoring relies on historical closed-won data to train its predictive model; without a sufficient volume of won deals, the algorithm cannot establish reliable patterns for prioritizing deals. On the Salesforce AI Associate exam, this question tests your understanding of the prerequisites for Einstein features, often appearing as a trap where candidates confuse closed-won with open opportunities or assume field history tracking is needed. A common memory tip is to think of the model needing a "winning history"—it learns from past successes, not current pipelines, so focus on the 50 closed-won count and the global Einstein toggle.
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 manager wants to use Einstein Opportunity Scoring to prioritize deals. Which two requirements must be met?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
There must be at least 50 closed-won opportunities in the last 365 days.
Option B is correct because Einstein must be enabled at the org level. Option D is correct because Einstein Opportunity Scoring requires at least 50 closed-won opportunities in the last 365 days to train the model. Option A is incorrect because the 'Manage Einstein' permission is not required for users; it is an admin permission. Option C is incorrect because the requirement is for closed-won opportunities, not open ones. Option E is incorrect because field history tracking is not a prerequisite for Opportunity Scoring.
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.
✓
There must be at least 50 closed-won opportunities in the last 365 days.
Why this is correct
The scoring model trains on historical closed-won opportunities.
Related concept
Read the scenario before looking for a memorised answer.
✗
The user must have the 'Manage Einstein' permission.
Why it's wrong here
The 'Manage Einstein' permission is for admins, not end users.
✗
Field history tracking must be enabled for Opportunity.
Why it's wrong here
Field history tracking is not required for Opportunity Scoring.
✗
There must be at least 500 open opportunities.
Why it's wrong here
The requirement is at least 50 closed-won opportunities, not open.
✓
Einstein must be enabled in Setup.
Why this is correct
Einstein must be enabled at the org level to use any Einstein feature.
Related concept
Read the scenario before looking for a memorised answer.
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: There must be at least 50 closed-won opportunities in the last 365 days. — Option B is correct because Einstein must be enabled at the org level. Option D is correct because Einstein Opportunity Scoring requires at least 50 closed-won opportunities in the last 365 days to train the model. Option A is incorrect because the 'Manage Einstein' permission is not required for users; it is an admin permission. Option C is incorrect because the requirement is for closed-won opportunities, not open ones. Option E is incorrect because field history tracking is not a prerequisite for Opportunity Scoring.
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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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.
Question Discussion
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