Question 284 of 506

AI Capabilities in CRM →hardMultiple ChoiceObjective-mapped

AI Associate AI Capabilities in CRM Practice Question

This AI Associate practice question tests your understanding of ai capabilities in crm. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.

Exhibit

Refer to the exhibit.

```
{
  "einsteinServices": {
    "leadScoring": {
      "enabled": true,
      "modelName": "Lead Score Model V2",
      "scoringFields": ["AnnualRevenue", "Industry", "NumberOfEmployees", "LeadSource"],
      "retrainingFrequency": "WEEKLY",
      "lastRetrained": "2025-01-15"
    },
    "opportunityScoring": {
      "enabled": false,
      "modelName": "Default",
      "scoringFields": ["Amount", "Type", "StageName", "CloseDate"],
      "retrainingFrequency": "DAILY",
      "lastRetrained": "2025-01-20"
    }
  }
}
```

An admin reviews the Einstein service configuration JSON. Based on the exhibit, which statement is true?

Question 1hardmultiple choice

Full question →

Exhibit

Refer to the exhibit.

```
{
  "einsteinServices": {
    "leadScoring": {
      "enabled": true,
      "modelName": "Lead Score Model V2",
      "scoringFields": ["AnnualRevenue", "Industry", "NumberOfEmployees", "LeadSource"],
      "retrainingFrequency": "WEEKLY",
      "lastRetrained": "2025-01-15"
    },
    "opportunityScoring": {
      "enabled": false,
      "modelName": "Default",
      "scoringFields": ["Amount", "Type", "StageName", "CloseDate"],
      "retrainingFrequency": "DAILY",
      "lastRetrained": "2025-01-20"
    }
  }
}
```

A
Lead scoring is disabled for the org
Why wrong: Lead scoring is enabled (true).
B
Opportunities will not have Einstein scores
Opportunity scoring is disabled (false).
C
The lead scoring model retrains daily
Why wrong: Retraining frequency is weekly.
D
The admin has not configured any scoring fields for leads
Why wrong: Four scoring fields are listed.

Full breakdown with real-world context →

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

✓

Opportunities will not have Einstein scores

Option B is correct because the JSON exhibit shows that the Einstein Opportunity Scoring feature is disabled (the 'status' field is set to 'Disabled'), meaning opportunities will not have Einstein scores. This is determined by the configuration flag that controls whether Einstein scoring is active for opportunities in the org.

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.

✗
Lead scoring is disabled for the org
Why it's wrong here
Lead scoring is enabled (true).
✓
Opportunities will not have Einstein scores
Why this is correct
Opportunity scoring is disabled (false).
Related concept
Read the scenario before looking for a memorised answer.
✗
The lead scoring model retrains daily
Why it's wrong here
Retraining frequency is weekly.
✗
The admin has not configured any scoring fields for leads
Why it's wrong here
Four scoring fields are listed.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Salesforce often tests the distinction between lead scoring and opportunity scoring configurations, and candidates may mistakenly assume that if lead scoring is enabled, opportunity scoring must also be enabled, or overlook the specific 'status' field for each object in the JSON.

Detailed technical explanation

How to think about this question

Einstein scoring in Salesforce uses machine learning models that are trained on historical data to predict the likelihood of conversion or close. The JSON configuration controls feature toggles and field mappings; when opportunity scoring is disabled, the model is not applied to opportunity records, even if lead scoring is active. This separation allows admins to independently enable or disable scoring for different objects based on business needs.

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: Opportunities will not have Einstein scores — Option B is correct because the JSON exhibit shows that the Einstein Opportunity Scoring feature is disabled (the 'status' field is set to 'Disabled'), meaning opportunities will not have Einstein scores. This is determined by the configuration flag that controls whether Einstein scoring is active for opportunities in the org.

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.

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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