AI Associate AI Fundamentals Practice Question
Network Topology
Refer to the exhibit. A Salesforce CLI output shows the status of Einstein models in the org. Which model should the administrator investigate first?
⚠ Common exam trap
Salesforce often tests the distinction between a model's operational status (e.g., Error) and its performance metrics (e.g., accuracy), leading candidates to mistakenly prioritize accuracy concerns over a non-functional model.
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
✓
Case_Escalation because it has an Error status.
An Einstein model with an 'Error' status indicates a critical failure that prevents the model from generating predictions or scoring records. This requires immediate investigation to restore functionality, as the model is non-operational and may impact business processes relying on its output.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Lead_Score_Model because its accuracy is lower than expected.
Why it's wrong here
92% is high; no issue indicated.
- ✗
Campaign_Response because it has the oldest training date.
Why it's wrong here
It is deployed and has good accuracy.
- ✗
Opportunity_Forecast because it is still training.
Why it's wrong here
Training is a normal state; no investigation needed unless stuck.
- ✓
Case_Escalation because it has an Error status.
Why this is correct
Error models require troubleshooting.
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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.