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AI Associate AI Fundamentals Practice Question

Exhibit

Refer to the exhibit.

{
  "type": "EinsteinNextBestAction",
  "recommendationStrategy": "Most Likely to Convert",
  "filters": {
    "object": "Lead",
    "field": "Status",
    "operator": "equals",
    "value": "Open"
  },
  "maxRecommendations": 5,
  "scoreThreshold": 70
}

Refer to the exhibit. An admin configures Einstein Next Best Action with the above JSON. The expected behavior is to recommend the top 5 actions for open leads with a score of at least 70. However, only 2 recommendations appear for some leads. Which is the most likely cause?

⚠ Common exam trap

Salesforce often tests the interaction between scoreThreshold and maxRecommendations, where candidates mistakenly assume maxRecommendations is the sole determinant of the number of recommendations, overlooking that scoreThreshold can reduce the count below that limit.

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 scoreThreshold of 70 excludes many actions, so fewer than 5 meet the criteria.

The scoreThreshold of 70 filters out any actions with a score below 70. If fewer than 5 actions meet this threshold, the system returns only those that qualify, resulting in fewer than 5 recommendations. The maxRecommendations setting defines the upper limit, but the actual number returned is constrained by the scoreThreshold.

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 filter on Lead Status is incorrectly excluding actions.
Why it's wrong here
The filter is on the lead object, not actions.
✓
The scoreThreshold of 70 excludes many actions, so fewer than 5 meet the criteria.
Why this is correct
Score threshold filters out low-scoring actions.
✗
The recommendation strategy is misconfigured for this object.
Why it's wrong here
The strategy is valid.
✗
The maxRecommendations is set to 2 instead of 5.
Why it's wrong here
It is set to 5 in the JSON.

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AI Associate AI Fundamentals Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

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