What are key capabilities of Adobe RT-CDP's data ingestion process? (Select two.)

Question

Options

• AStreaming real-time data for profile updates.
• BEnabling probabilistic segmentation during ingestion.
• CBatch ingestion for large datasets.
• DRestricting ingestion to static customer segments.

• A
  86% (25)
• B
  3% (1)
• D
  10% (3)

Explanation

Adobe RT-CDP (Real-Time Customer Data Platform) supports two primary ingestion modes: streaming ingestion (A) allows real-time data to flow in continuously - think clickstream events, transactions, or form submissions - enabling profiles to update instantly; and batch ingestion (C) handles large volumes of historical or periodic data uploads, making it ideal for CRM exports or data warehouse syncs.

Why the distractors are wrong:

• B is incorrect because probabilistic segmentation is a separate audience-building technique, not a feature of the ingestion pipeline itself - segmentation happens after data lands in profiles.
• D is the opposite of what RT-CDP does; it's designed to ingest from diverse, dynamic sources, not restrict ingestion to static segments.

Memory tip: Think of RT-CDP's ingestion as a two-speed highway - a fast lane (streaming) for live data and a wide lane (batch) for bulk loads. If an answer sounds like it limits what RT-CDP can do, it's almost certainly wrong, since the platform is built for flexibility and scale.

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