Question 286 of 506
Data for AImediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is that the data stream definition expects more fields than the source provides. This Data Cloud schema mismatch error occurs because the data stream’s configured mapping anticipates ten fields from the source, but the actual source file or API response only delivers eight, causing the ingestion process to fail. On the Salesforce AI Associate exam, this question tests your understanding of how Data Cloud validates source schemas during data stream creation—a common trap is assuming the error means the source has extra fields, when in fact the mismatch is due to missing columns. A useful memory tip is to think of the error as a “missing puzzle pieces” scenario: if your data stream expects ten pieces but the source only gives you eight, the puzzle can’t be completed. Always verify that the number of fields in your source file exactly matches the schema defined in the data stream to avoid this issue.

AI Associate Data for AI Practice Question

This AI Associate practice question tests your understanding of data for ai. 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 created a data stream to bring external customer data into Data Cloud for Einstein. The data stream fails with error 'Schema mismatch: expected 10 fields, got 8'. What is the likely cause?

Question 1mediummultiple choice
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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 data stream definition expects more fields than the source provides.

The error 'Schema mismatch: expected 10 fields, got 8' indicates that the data stream definition in Data Cloud is configured to map 10 fields from the source, but the actual source file or API response only provides 8 fields. This mismatch occurs when the schema defined in the data stream does not match the source schema, typically because the source has fewer columns than expected. Option D correctly identifies this as the likely cause.

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 data flow has a filter that drops fields.

    Why it's wrong here

    A filter would not change the schema count at this stage.

  • The target object has validation rules.

    Why it's wrong here

    Validation rules would not cause schema mismatch in the data stream.

  • The source file has extra columns.

    Why it's wrong here

    Extra columns would cause 'got more fields' error, not fewer.

  • The data stream definition expects more fields than the source provides.

    Why this is correct

    Directly matches the error: expected 10, got 8.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Salesforce often tests the distinction between schema-level errors (field count mismatch) and data-level errors (validation rules, filters), leading candidates to confuse data flow operations with data stream schema definitions.

Detailed technical explanation

How to think about this question

Data Cloud data streams use a schema definition that maps source fields to target object fields. During ingestion, the system validates the number of fields in each incoming record against the defined schema. If the source file has fewer columns (e.g., due to a missing column in a CSV or a truncated API response), the stream fails with a schema mismatch error. This is distinct from data flow transformations, which operate on records after ingestion, and validation rules, which apply at the object level during save operations.

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.

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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 data stream definition expects more fields than the source provides. — The error 'Schema mismatch: expected 10 fields, got 8' indicates that the data stream definition in Data Cloud is configured to map 10 fields from the source, but the actual source file or API response only provides 8 fields. This mismatch occurs when the schema defined in the data stream does not match the source schema, typically because the source has fewer columns than expected. Option D correctly identifies this as the likely cause.

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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