Sales-Con-201 Sales Lifecycle Practice Question
Which Salesforce feature uses machine learning to score leads based on historical conversion data, showing sales reps which leads are most likely to convert?
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
✓
Einstein Lead Scoring
Einstein Lead Scoring uses AI to score leads based on past patterns.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Lead Assignment Rules
Why it's wrong here
Assignment rules route leads based on criteria, not AI scores.
- ✗
Sales Cadence Scoring
Why it's wrong here
Sales cadences do not score leads.
- ✗
Web-to-Lead Auto-Response Rules
Why it's wrong here
Auto-response rules send emails upon lead creation.
- ✓
Einstein Lead Scoring
Why this is correct
Einstein Lead Scoring predicts lead conversion likelihood.
About these practice questions
This Sales-Con-201 question is part of Courseiva's 321-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
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
This Sales-Con-201 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 Sales-Con-201 exam.