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AI Capabilities in CRMmediumMultiple ChoiceObjective-mapped

AI Associate AI Capabilities in CRM Practice Question

A mid-size company uses Sales Cloud with Einstein Lead Scoring and Einstein Activity Capture. The sales team reports that lead scores are not updating for leads that have been engaged via email and calendar events over the past two weeks. The admin checks the Einstein Lead Scoring model and finds that the model status is 'Active' and was retrained last month. The admin also verifies that Einstein Activity Capture is enabled and syncing data correctly. However, the lead scores remain unchanged. Upon further investigation, the admin discovers that the leads were created before the Einstein Lead Scoring model was activated, and the model's training data includes only leads created after activation. The company has over 10,000 leads, but only 200 were created after activation. Historical conversion data for leads created before activation is not being used. What should the admin do to ensure lead scores reflect recent engagement?

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

Retrain the Einstein Lead Scoring model using all historical lead data, including pre-activation leads

Retraining the model with all historical lead data (including pre-activation leads) will include conversion patterns from a larger dataset, improving accuracy and enabling scores for older leads. Option A is wrong because field mapping alone does not cause scoring to update. Option B is wrong because Einstein Activity Capture is already syncing; the issue is with the model. Option C is wrong because the scoring fields are separate from activity tracking.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Map the email and event fields to the lead object so that the model can use them

    Why it's wrong here

    Field mapping does not force score recalculation.

  • Add the Activity Count field to the scoring fields list in the model configuration

    Why it's wrong here

    Activity Count is not a standard scoring field; adding it may not be possible or effective.

  • Re-enable Einstein Activity Capture to resync all historical emails and events

    Why it's wrong here

    Activity Capture is already enabled; resyncing does not affect the scoring model.

  • Retrain the Einstein Lead Scoring model using all historical lead data, including pre-activation leads

    Why this is correct

    Retraining with a larger dataset improves the model's ability to score older leads.

Visual reference

Client Server SYN (seq=100) SYN-ACK (seq=200, ack=101) ACK (ack=201) Connection established — data transfer begins

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