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Salesforce Einstein AI FeaturesmediumMultiple SelectObjective-mapped

AI Associate Salesforce Einstein AI Features Practice Question

A sales team wants to use Einstein Opportunity Scoring to improve win rates. Which TWO statements about Einstein Opportunity Scoring are correct? (Choose 2)

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

It provides a score from 1 to 99 indicating the likelihood of winning the opportunity

Opportunity Scoring predicts win likelihood (1-99) and factors are visible in Lightning. Historical data is used, but the score is not directly accessible via external API without additional setup.

Answer analysis

Option-by-option breakdown

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

  • It provides a score from 1 to 99 indicating the likelihood of winning the opportunity

    Why this is correct

    The score range is 1-99, with higher numbers indicating higher win probability.

  • It requires a minimum of 500 closed opportunities in the last 12 months to activate

    Why it's wrong here

    The minimum is typically 40 closed opportunities, not 500.

  • The score can be accessed via the REST API out-of-the-box

    Why it's wrong here

    The score field is available via API but requires specific setup and permissions.

  • It automatically updates the opportunity stage based on the score

    Why it's wrong here

    It does not automatically change stages; it only provides a score.

  • The score factors and influences are displayed on the opportunity record page in Lightning

    Why this is correct

    Key factors influencing the score are shown in a component on the record page.

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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.