Question 659 of 1,000
AI Capabilities in CRMhardMultiple ChoiceObjective-mapped

AI Associate AI Capabilities in CRM Practice Question

This AI Associate practice question tests your understanding of ai capabilities in crm. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

An admin notices that Einstein Opportunity Scoring is not generating scores for new opportunities created in the past week. Which troubleshooting step should the admin take first?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "first"

    Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

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

Check that there are at least 50 won and 50 lost opportunities with populated fields

Option C is correct because Einstein Opportunity Scoring requires a minimum of 50 won and 50 lost opportunities with populated fields to generate scores. Without this historical data, the model cannot learn patterns to score new opportunities. The admin should first verify this prerequisite before considering other steps.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Retrain the Opportunity Scoring model

    Why it's wrong here

    Retraining does not address missing historical data.

  • Verify that users have the 'View Einstein Scores' permission

    Why it's wrong here

    Permissions affect visibility, not score generation.

  • Check that there are at least 50 won and 50 lost opportunities with populated fields

    Why this is correct

    Einstein models require a minimum of 50 won and 50 lost records to generate scores.

    Clue confirmation

    The clue word "first" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Wait 48 hours for the model to update

    Why it's wrong here

    Waiting does not resolve data insufficiency.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Salesforce often tests the prerequisite data requirements for Einstein features, and the trap here is that candidates assume retraining or permissions are the issue, overlooking the minimum data threshold that must be met before scoring can begin.

Detailed technical explanation

How to think about this question

Einstein Opportunity Scoring uses a predictive model trained on historical won and lost opportunities to assign a score (0–100) indicating likelihood of conversion. The model requires at least 50 won and 50 lost records with key fields like Amount, Stage, and Close Date populated; if this threshold is not met, scoring is disabled entirely. In a real-world scenario, a new Salesforce org with few closed opportunities would see no scores until the data threshold is reached, even if all other settings are correct.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A practitioner preparing for the AI Associate exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this AI Associate question test?

AI Capabilities in CRM — This question tests AI Capabilities in CRM — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Check that there are at least 50 won and 50 lost opportunities with populated fields — Option C is correct because Einstein Opportunity Scoring requires a minimum of 50 won and 50 lost opportunities with populated fields to generate scores. Without this historical data, the model cannot learn patterns to score new opportunities. The admin should first verify this prerequisite before considering other steps.

What should I do if I get this AI Associate question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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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.