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AI Associate AI Fundamentals Practice Question

A company notices that Einstein Prediction Builder predictions for 'Churn' are less accurate than expected. Which action should the administrator take first to improve model performance?

⚠ Common exam trap

Salesforce often tests the misconception that retraining or tweaking model parameters is the first fix for poor accuracy, when in reality data quality review is the foundational step in any machine learning workflow.

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

Review the training data for missing values and ensure relevant fields are included in the model.

The first step in improving Einstein Prediction Builder model performance is to review the training data for missing values and ensure relevant fields are included. Missing values or irrelevant fields can introduce noise and bias, directly degrading predictive accuracy. Einstein Prediction Builder relies on high-quality, complete training data to learn meaningful patterns, so data quality issues must be addressed before any other tuning steps.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Enable field history tracking on all object fields used in the prediction.

    Why it's wrong here

    Field history tracking is for auditing, not directly improving model accuracy.

  • Review the training data for missing values and ensure relevant fields are included in the model.

    Why this is correct

    Data quality is fundamental; Einstein models rely on clean, relevant data.

  • Change the prediction outcome to a different field to see if accuracy improves.

    Why it's wrong here

    Changing the outcome without diagnostic steps is unlikely to help.

  • Retrain the model with the same data but increase the number of training iterations.

    Why it's wrong here

    Retraining with unchanged data does not fix underlying issues.

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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.