- A
The prediction field uses a scale of 1-999 by default, not a percentage
Einstein Prediction Builder outputs a score from 1 to 999, not 0-100 percent. This is the expected behavior.
- B
The model includes a numeric custom field as a feature that skews the output
Why wrong: Features influence prediction but don't change the output scale.
- C
The prediction field was incorrectly mapped to a currency field
Why wrong: Currency mapping doesn't cause a 0-1000 score; the model creates a numeric field.
- D
The model was trained on too few records, causing overfitting
Why wrong: Overfitting affects accuracy, not the score scale.
Question 156 of 1,000
AI Associate Salesforce Einstein AI Features Practice Question
This AI Associate practice question tests your understanding of salesforce einstein ai features. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
An admin creates an Einstein Prediction Builder model to predict whether a lead will convert (binary classification). After training, they notice the prediction score field shows values from 0 to 1000 instead of the expected 0 to 100. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
✓
The prediction field uses a scale of 1-999 by default, not a percentage
Einstein Prediction Builder outputs prediction scores on a 0–1000 scale by default, not a percentage. The score represents the relative likelihood of the predicted outcome, where higher values indicate greater confidence. The admin expected a 0–100 scale, but the default range is 0–1000, making option A correct.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The prediction field uses a scale of 1-999 by default, not a percentage
Why this is correct
Einstein Prediction Builder outputs a score from 1 to 999, not 0-100 percent. This is the expected behavior.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The model includes a numeric custom field as a feature that skews the output
Why it's wrong here
Features influence prediction but don't change the output scale.
- ✗
The prediction field was incorrectly mapped to a currency field
Why it's wrong here
Currency mapping doesn't cause a 0-1000 score; the model creates a numeric field.
- ✗
The model was trained on too few records, causing overfitting
Why it's wrong here
Overfitting affects accuracy, not the score scale.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume prediction scores are always percentages (0–100) because many other AI tools use that scale, but Salesforce specifically uses a 0–1000 range to provide finer granularity without decimals.
Trap categories for this question
Command / output trap
Features influence prediction but don't change the output scale.
Detailed technical explanation
How to think about this question
Einstein Prediction Builder uses a logistic regression model internally, and the raw output is a probability between 0 and 1. This probability is then scaled to a 0–1000 integer for display, where 1000 represents the highest confidence. The scale is fixed and not configurable; if a percentage is desired, the admin must divide the score by 10 or use a formula field. In real-world scenarios, this scale can cause confusion when integrating with other systems that expect a percentage.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the AI Associate exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AI Associate question test?
Salesforce Einstein AI Features — This question tests Salesforce Einstein AI Features — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The prediction field uses a scale of 1-999 by default, not a percentage — Einstein Prediction Builder outputs prediction scores on a 0–1000 scale by default, not a percentage. The score represents the relative likelihood of the predicted outcome, where higher values indicate greater confidence. The admin expected a 0–100 scale, but the default range is 0–1000, making option A correct.
What should I do if I get this AI Associate question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 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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