AI Associate AI Fundamentals Practice Question
Which THREE factors are most important for ensuring the accuracy of an AI model in a CRM context? (Select 3)
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
✓
Relevant features selected for the prediction task
Data quality, representative training data, and relevant features directly impact model accuracy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Relevant features selected for the prediction task
Why this is correct
Feature selection directly affects model performance.
- ✗
Large number of model parameters
Why it's wrong here
More parameters can lead to overfitting, not necessarily accuracy.
- ✓
Representative training data
Why this is correct
Data must reflect the real-world distribution to generalize well.
- ✗
Higher inference speed
Why it's wrong here
Speed is a performance metric, not a factor for accuracy.
- ✓
Clean and complete data
Why this is correct
Garbage-in garbage-out; accurate models require clean data.
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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.