AI Associate AI Fundamentals Practice Question
Exhibit
{
"groundingPolicy": {
"dataSources": [
{"type": "knowledgeArticle", "maxResults": 5},
{"type": "productCatalog", "maxResults": 3}
],
"fallbackBehavior": "USE_MODEL_KNOWLEDGE",
"relevanceThreshold": 0.7
}
}Refer to the exhibit. A developer configured a grounding policy for Einstein GPT. What is the effect of the fallbackBehavior set to 'USE_MODEL_KNOWLEDGE'?
⚠ Common exam trap
Salesforce often tests the distinction between 'fallback' and 'ignore' — the trap here is assuming 'USE_MODEL_KNOWLEDGE' means the grounding policy is disregarded, when in fact it is a controlled fallback within the policy's logic.
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 AI will rely on its pre-trained knowledge when no grounding data meets the relevance threshold
When fallbackBehavior is set to 'USE_MODEL_KNOWLEDGE', the Einstein GPT grounding policy instructs the AI to fall back to its pre-trained (model) knowledge if the retrieved grounding data does not meet the configured relevance threshold. This ensures the AI still generates a response based on its internal training rather than returning no answer or ignoring the policy entirely.
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 AI will rely on its pre-trained knowledge when no grounding data meets the relevance threshold
Why this is correct
This is the defined fallback: use the model's internal knowledge if grounding data is insufficient.
- ✗
The AI will return all retrieved grounding data in the response
Why it's wrong here
The policy only provides relevant data, not returns it; it's used to inform the response.
- ✗
The AI will not generate a response if no grounding data is found
Why it's wrong here
The fallback behavior is to use model knowledge, so it will still generate a response.
- ✗
The AI will ignore the grounding policy and only use model knowledge
Why it's wrong here
It only falls back when threshold not met; otherwise grounding data is used.
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