AI Associate Data for AI Practice Question
A company uses Salesforce Data Platform to store customer data. They want to use this data to train an AI model for lead scoring, but they are concerned about data quality. Which step should they take first to ensure the data is suitable for AI?
⚠ Common exam trap
Salesforce often tests the misconception that data preparation begins with feature engineering (like normalization) or pipeline setup, rather than with foundational data quality assessment through profiling.
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
✓
Profile the data to identify missing values, outliers, and inconsistencies
Profiling the data is the essential first step because it systematically identifies missing values, outliers, and inconsistencies that degrade model performance. Without this baseline assessment, any subsequent normalization or labeling would be applied to flawed data, leading to unreliable lead scoring predictions. Salesforce Data Platform supports profiling via tools like Einstein Analytics or Data Prep, which scan fields for nulls, range violations, and format errors.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Profile the data to identify missing values, outliers, and inconsistencies
Why this is correct
Profiling is the first step to assess data quality.
- ✗
Immediately normalize all numerical features
Why it's wrong here
Normalization is done after profiling and cleaning.
- ✗
Create a labeled dataset using historical lead outcomes
Why it's wrong here
Labeling is important but requires clean data first.
- ✗
Set up a data pipeline to stream data in real-time
Why it's wrong here
Real-time streaming does not address data quality.
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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.