AI Associate AI Fundamentals Practice Question
Network Topology
Refer to the exhibit. A Salesforce admin runs an audit command for an Einstein model. What conclusion can be drawn from the output?
⚠ Common exam trap
The trap here is that candidates may misinterpret average response time as an indicator of slowdowns or errors, when in fact it is a performance metric that must be compared against typical thresholds (e.g., <500ms) to draw accurate conclusions.
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 model's average response time of 350ms is within typical performance expectations
The output shows an average response time of 350ms for the Einstein model, which is within the typical performance expectation of under 500ms for real-time AI inference in Salesforce. This indicates the model is responding efficiently without significant latency issues, making option C correct.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Token usage indicates the average response length is 300 tokens
Why it's wrong here
45000 tokens / 150 requests = 300 tokens per request, but this might be acceptable; not a conclusion of a problem.
- ✗
The model experienced significant slowdowns
Why it's wrong here
350ms is not considered a slowdown; it's normal.
- ✓
The model's average response time of 350ms is within typical performance expectations
Why this is correct
350ms latency is reasonable for a real-time AI model.
- ✗
The model has a high error rate and needs retraining
Why it's wrong here
3 errors out of 150 is about 2%, which is relatively low.
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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.