This AI Associate practice question tests your understanding of ai fundamentals. 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.
A company uses Einstein Prediction Builder to create a custom model that predicts whether a support case will be escalated. The model is built and published, but when the admin looks at the case record, the prediction field shows 'No Prediction' for all cases. The prediction is set to run on case creation and update. What should the admin check?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The model's confidence threshold is too high, causing no predictions.
Option C is correct because when Einstein Prediction Builder shows 'No Prediction' for all cases, a common cause is that the model's confidence threshold is set too high. The prediction field only displays a value when the model's confidence in its prediction exceeds that threshold; if no case meets the threshold, all predictions are suppressed. The admin should lower the confidence threshold in the model settings to allow predictions to appear.
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 is not added to the case page layout.
Why it's wrong here
If field were missing, it wouldn't show; 'No Prediction' indicates field exists.
✗
The model was not activated for all record types.
Why it's wrong here
Prediction models typically work across record types unless specifically restricted.
✓
The model's confidence threshold is too high, causing no predictions.
Why this is correct
A high threshold means even correct predictions may be suppressed.
Related concept
Read the scenario before looking for a memorised answer.
✗
The data prep steps included all required fields.
Why it's wrong here
Missing required fields would cause errors, not a 'No Prediction' display.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Salesforce often tests the misconception that 'No Prediction' is caused by missing page layout fields or record type activation, but the actual cause is the confidence threshold filtering out all predictions.
Trap categories for this question
Command / output trap
If field were missing, it wouldn't show; 'No Prediction' indicates field exists.
Detailed technical explanation
How to think about this question
Einstein Prediction Builder uses a confidence threshold (default 0.5 or 50%) to filter predictions; only predictions with a probability above this threshold are displayed. Under the hood, the model outputs a probability score for each record, and the threshold acts as a gatekeeper. In a real-world scenario, if the threshold is set to 0.95, only cases with extremely high certainty of escalation would show a prediction, leaving most cases with 'No Prediction'.
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.
AI Fundamentals — This question tests AI Fundamentals — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The model's confidence threshold is too high, causing no predictions. — Option C is correct because when Einstein Prediction Builder shows 'No Prediction' for all cases, a common cause is that the model's confidence threshold is set too high. The prediction field only displays a value when the model's confidence in its prediction exceeds that threshold; if no case meets the threshold, all predictions are suppressed. The admin should lower the confidence threshold in the model settings to allow predictions to appear.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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