AI Associate Data for AI Practice Question
Which THREE types of data sources are commonly integrated into Salesforce Data Cloud for AI use cases?
⚠ Common exam trap
Salesforce often tests the distinction between data sources (raw inputs) and data processing artifacts (logs, scripts), leading candidates to mistakenly select model training logs or transformation scripts as valid data sources.
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
✓
Third-party demographic data
Salesforce Data Cloud can ingest third-party demographic data from external sources (e.g., data enrichment providers) to enrich customer profiles. This data, when combined with first-party data, enables AI models to generate more accurate predictions and segmentations. Data Cloud’s Data Streams and Data Lake objects support structured ingestion of such external datasets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Third-party demographic data
Why this is correct
External data enhances AI models.
- ✓
Web and mobile app engagement data
Why this is correct
Engagement data enriches customer profiles.
- ✓
CRM transaction records
Why this is correct
Salesforce CRM data is a primary source.
- ✗
Model training logs
Why it's wrong here
Logs are outputs, not source data.
- ✗
Data transformation scripts
Why it's wrong here
Scripts are processing tools, not data sources.
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