AI Associate AI Capabilities in CRM Practice Question
Exhibit
{
"predictionField": "Lead_Score__c",
"predictionType": "BinaryClassification",
"targetObject": "Lead",
"recordCount": 450,
"modelStatus": "Active"
}Refer to the exhibit. An admin created a prediction using Einstein Prediction Builder. The prediction is configured to calculate a score on the Lead object. What does the JSON indicate about the model?
⚠ Common exam trap
Salesforce often tests the distinction between regression (numeric prediction) and classification (binary outcome) by showing a JSON with a 'probability' field, leading candidates to mistakenly think it predicts a numeric value when the 'predictedValue' field clearly indicates a categorical label.
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
✓
It predicts a binary outcome (e.g., convert or not)
Einstein Prediction Builder for the Lead object, when configured to predict a binary outcome like 'convert or not,' outputs a JSON payload containing a 'probability' field (e.g., 0.85) and a 'predictedValue' field (e.g., 'Converted' or 'Not Converted'). The JSON shown indicates a classification model that assigns a probability to one of two discrete classes, which is the hallmark of binary classification. The presence of a 'predictedValue' field with a categorical label confirms it is not a regression (numeric) or multi-class text prediction.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It predicts a numeric value
Why it's wrong here
BinaryClassification predicts a binary outcome.
- ✗
It predicts the value of a text field
Why it's wrong here
Prediction field is numeric score, but the type is binary.
- ✗
It is currently retraining the model
Why it's wrong here
modelStatus is Active, not Training.
- ✓
It predicts a binary outcome (e.g., convert or not)
Why this is correct
Binary classification yields two possible results.
Go deeper
Related to this question
About these practice questions
Courseiva writes every AI Associate question from scratch — 753 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
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.