AI Associate Salesforce Einstein AI Features Practice Question
A business wants to build a custom AI model to classify images of products and also create a chatbot that answers customer queries about those products. Which THREE Einstein features would they likely use? (Choose 3)
⚠ Common exam trap
A common mix-up: candidates confuse Einstein Forecasting or Lead Scoring as general AI tools, but they are specifically designed for sales prediction and lead prioritization, not for image classification or chatbot functionality.
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 Bots
Einstein Bots is correct because it enables the creation of a chatbot that can answer customer queries about products using natural language processing and predefined dialogue flows, directly addressing the requirement for a customer query chatbot.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Einstein Bots
Why this is correct
Einstein Bots enables building conversational chatbots that can answer customer queries.
- ✗
Einstein Forecasting
Why it's wrong here
Forecasting is for sales predictions, not for image classification or chatbots.
- ✗
Einstein Lead Scoring
Why it's wrong here
Lead Scoring is for scoring leads, not for image classification or chatbots.
- ✓
Einstein Article Recommendations
Why this is correct
Article Recommendations can surface relevant knowledge articles within the bot to answer queries.
- ✓
Einstein Vision and Language Platform
Why this is correct
This platform provides image classification and object detection capabilities.
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Senior Network & Security Engineer · founder of Courseiva
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.