Sales-Con-201 Sales Lifecycle Practice Question
A sales manager wants an Einstein Forecasting model to predict end-of-quarter revenue. However, the Einstein Forecasting tab displays a message indicating insufficient historical data. What is the minimum closed opportunity data requirement for Einstein Forecasting to generate predictions?
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
✓
At least 12 months of historical opportunity data with regular closed-won and closed-lost transitions.
Einstein Forecasting requires at least 12 months of historical opportunity data and a sufficient volume of closed-won and closed-lost opportunities.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
At least 24 months of historical data across all active sales stages.
Why it's wrong here
24 months is not the minimum requirement.
- ✗
At least 3 months of closed opportunities and 500 closed-won deals.
Why it's wrong here
Too short a timeframe.
- ✗
At least 6 months of historical data and active Collaborative Forecasting enabled.
Why it's wrong here
Six months is insufficient for robust AI trend analysis.
- ✓
At least 12 months of historical opportunity data with regular closed-won and closed-lost transitions.
Why this is correct
Einstein requires 12 months of historical data to account for seasonality and trends.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Salesforce exam blueprint
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