The correct first troubleshooting step is to check that there are at least 50 won and 50 lost opportunities with populated fields. This is because Einstein Opportunity Scoring relies on a supervised machine learning model that requires a minimum historical dataset of 50 records for each outcome to identify patterns and generate predictive scores for new records. On the Salesforce AI Associate exam, this question tests your understanding of the core data prerequisites for Einstein scoring models, a common trap being that admins often look at field-level issues or permissions first, when the root cause is simply insufficient historical data. For lead scoring, the same principle applies: you need at least 50 converted and 50 unconverted leads. A helpful memory tip is to think of the “50/50 rule” — if you don’t have fifty wins and fifty losses, the model simply cannot learn.
AI Associate AI Capabilities in CRM Practice Question
This AI Associate practice question tests your understanding of ai capabilities in crm. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
An admin notices that Einstein Opportunity Scoring is not generating scores for new opportunities created in the past week. Which troubleshooting step should the admin take first?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Check that there are at least 50 won and 50 lost opportunities with populated fields
Option C is correct because Einstein Opportunity Scoring requires a minimum of 50 won and 50 lost opportunities with populated fields to generate scores. Without this historical data, the model cannot learn patterns to score new opportunities. The admin should first verify this prerequisite before considering other steps.
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.
✗
Retrain the Opportunity Scoring model
Why it's wrong here
Retraining does not address missing historical data.
✗
Verify that users have the 'View Einstein Scores' permission
Why it's wrong here
Permissions affect visibility, not score generation.
✓
Check that there are at least 50 won and 50 lost opportunities with populated fields
Why this is correct
Einstein models require a minimum of 50 won and 50 lost records to generate scores.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Wait 48 hours for the model to update
Why it's wrong here
Waiting does not resolve data insufficiency.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Salesforce often tests the prerequisite data requirements for Einstein features, and the trap here is that candidates assume retraining or permissions are the issue, overlooking the minimum data threshold that must be met before scoring can begin.
Detailed technical explanation
How to think about this question
Einstein Opportunity Scoring uses a predictive model trained on historical won and lost opportunities to assign a score (0–100) indicating likelihood of conversion. The model requires at least 50 won and 50 lost records with key fields like Amount, Stage, and Close Date populated; if this threshold is not met, scoring is disabled entirely. In a real-world scenario, a new Salesforce org with few closed opportunities would see no scores until the data threshold is reached, even if all other settings are correct.
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 small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
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.
AI Capabilities in CRM — This question tests AI Capabilities in CRM — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Check that there are at least 50 won and 50 lost opportunities with populated fields — Option C is correct because Einstein Opportunity Scoring requires a minimum of 50 won and 50 lost opportunities with populated fields to generate scores. Without this historical data, the model cannot learn patterns to score new opportunities. The admin should first verify this prerequisite before considering other steps.
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.
Are there clue words in this question I should notice?
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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. Refer to the exhibit. A Salesforce admin sees this error when trying to enable Einstein Lead Scoring. What should the admin do to resolve the issue?
medium
A.Enable Einstein features in the org
B.Map lead fields to Einstein fields
✓ C.Add more lead records with associated activities until reaching at least 100
D.Grant the admin the 'Manage Einstein' permission
Why C: Option C is correct because Einstein Lead Scoring requires a minimum of 100 lead records with associated activities (e.g., emails, events, tasks) to generate a predictive model. The error indicates insufficient data, so adding more leads with activities meets the threshold for model training.
Last reviewed: Jun 30, 2026
Question Discussion
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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.
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