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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.