Salesforce AI Specialist Practice Exam 2025 – Comprehensive Preparation Guide

Einstein opportunity scoring is the feature specifically designed to help sales teams prioritize deals by analyzing and scoring opportunities based on their likelihood to close. This scoring mechanism utilizes machine learning algorithms to evaluate various factors associated with each opportunity, including historical data and patterns within the sales pipeline. By providing a numerical score, sales representatives can focus their efforts on the deals that have a higher chance of conversion, thus optimizing their workflow and increasing overall sales efficiency.

The other options relate to valuable functionalities within Salesforce but do not directly pertain to scoring opportunities. Einstein lead scoring, for instance, is focused on evaluating and prioritizing leads rather than opportunities. Sales cloud forecasting is concerned with predicting sales revenue over a certain period, while Einstein deal insights provide contextual information and insights about deals but do not attribute scores based solely on their likelihood to close. Each of these features serves a distinct purpose within the sales process, but for prioritization based on closing likelihood, Einstein opportunity scoring is the most relevant tool.