AI Associate Data for AI Practice Question
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?
⚠ Common exam trap
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.
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.
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.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.