Question 202 of 506
Data for AImediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is that the requested fields are not included in the policy. When a data access policy query error occurs, it typically means the dataset’s field-level security is misaligned with the query—even if the user is authorized and the row-level filters are satisfied. In this scenario, the data scientist is listed in allowedUsers, and the filter for amounts between 0 and 10,000 includes the value 5,000, so neither user nor row restrictions are the issue; the failure stems from the policy not explicitly granting access to the specific fields being requested. On the Salesforce AI Associate exam, this tests your understanding of how data access policies govern both row and column visibility, a common trap where candidates focus only on user permissions or row filters while overlooking field-level exclusions. Remember the memory tip: “User and row are fine, but fields must align.”

AI Associate Data for AI Practice Question

This AI Associate practice question tests your understanding of data for ai. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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

{
  "dataAccessPolicy": {
    "dataset": "customer_transactions",
    "allowedUsers": ["data_scientist", "ml_engineer"],
    "deniedUsers": ["intern"],
    "fields": ["transaction_id", "amount", "date"],
    "conditions": {
      "amount": {"gt": 0, "lt": 10000}
    }
  }
}

Refer to the exhibit. A data scientist tries to query the dataset but receives an error. Which of the following is the most likely cause?

Clue words in this question

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

  • Clue: "most likely"

    Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

Question 1mediummultiple choice
Full question →

Exhibit

{
  "dataAccessPolicy": {
    "dataset": "customer_transactions",
    "allowedUsers": ["data_scientist", "ml_engineer"],
    "deniedUsers": ["intern"],
    "fields": ["transaction_id", "amount", "date"],
    "conditions": {
      "amount": {"gt": 0, "lt": 10000}
    }
  }
}

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 requested fields are not included in the policy.

Option A is correct because 'data_scientist' is in allowedUsers, so they are allowed. Option B is not in policy, C the policy filters amounts >0 and <10000, so 5000 is included, D the fields are in the policy, so they should be accessible.

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.

  • The requested fields are not included in the policy.

    Why this is correct

    If the query requests a field not listed (e.g., customer_name), it would be denied.

    Clue confirmation

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

    Related concept

    Read the scenario before looking for a memorised answer.

  • The condition filters out records with amount=5000.

    Why it's wrong here

    5000 is between 0 and 10000, so included.

  • The data scientist is not listed in the allowedUsers array.

    Why it's wrong here

    They are included, so this is not the cause.

  • The policy format is invalid JSON.

    Why it's wrong here

    The JSON is valid.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 AI Associate exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

Related practice questions

Related AI Associate practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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FAQ

Questions learners often ask

What does this AI Associate question test?

Data for AI — This question tests Data for AI — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The requested fields are not included in the policy. — Option A is correct because 'data_scientist' is in allowedUsers, so they are allowed. Option B is not in policy, C the policy filters amounts >0 and <10000, so 5000 is included, D the fields are in the policy, so they should be accessible.

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

Identify which AI Associate exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

Are there clue words in this question I should notice?

Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 23, 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.