Which data source can Adobe Target use directly to generate personalized recommendations? (Select two)

Question

Options

• AAudience segments from AEM
• BCRM data uploaded as a CSV
• CReal-time user behaviors captured in mboxes
• DThird-party data via Data Connectors

• A
  7% (2)
• B
  19% (5)
• C
  74% (20)

Explanation

Adobe Target Recommendations runs on two native data pipes: mbox calls (C), which capture real-time behavioral signals like product views, add-to-carts, and purchases as visitors interact with the site, and Data Connectors (D), which let Target ingest behavioral and preference data from certified third-party partners directly into the recommendation engine. These two sources feed the algorithms (e.g., "Viewed this, bought that") without requiring manual exports or middleware.

Why the distractors are wrong:

• A (AEM audience segments): AEM can share audiences with Adobe Experience Cloud, but those segments define who to target, not the item-level behavioral signals that power recommendation logic - they don't feed the Recommendations catalog or algorithms directly.
• B (CRM CSV upload): CSV uploads land in Customer Attributes (People core service) and can enrich visitor profiles, but they aren't a direct input to generating recommendation results - they supplement targeting, not the recommendation data pipeline.

Memory tip: Think "real-time + connected partners." mboxes = real-time on-site behavior; Data Connectors = partner-piped data. If the data source requires a manual file upload or comes from a content management system rather than a behavioral data stream, it's not driving recommendations directly.

No community discussion yet for this question.