Question 93 of 753
AI Associate Data for AI Practice Question
A data analyst is evaluating data quality for an Einstein model. Which TWO dimensions are most critical for model accuracy?
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
✓
Accuracy
Completeness (no missing values) and accuracy (correct values) are fundamental to model performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Uniqueness
Why it's wrong here
Important for deduplication but not as critical for model accuracy.
- ✓
Accuracy
Why this is correct
Incorrect values directly degrade model predictions.
- ✗
Consistency
Why it's wrong here
Important but less critical than completeness and accuracy.
- ✓
Completeness
Why this is correct
Missing data can bias the model.
- ✗
Timeliness
Why it's wrong here
Timeliness matters for relevance, but not directly for accuracy.
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Last reviewed: Jun 23, 2026
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.
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