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AD0-E605 · Question #76

A marketer would like to create an Audience by ranking the existing set based on the loyalty points, and select the top 1000 profiles. The marketer would also like to enrich the audience with addition

The correct answer is B. Compose Audience. Compose Audience is correct because Adobe Experience Platform's Audience Composition feature is specifically designed to build audiences using visual, multi-step workflows - including ranking profiles by an attribute (like loyalty points), applying a "Top N" cutoff (top 1000), an

Profile Unification and Segmentation

Question

A marketer would like to create an Audience by ranking the existing set based on the loyalty points, and select the top 1000 profiles. The marketer would also like to enrich the audience with additional attributes like city and gender from a profile enabled record type dataset. The marketer wishes to accomplish all of this using Adobe Experience Platform. Which method should the marketer use to create an Audience to achieve this?

Options

  • AImport Audience
  • BCompose Audience
  • CRule-based Audience
  • DApply filters to create a "Ranked audience" using the dataset

How the community answered

(20 responses)
  • A
    15% (3)
  • B
    70% (14)
  • C
    5% (1)
  • D
    10% (2)

Explanation

Compose Audience is correct because Adobe Experience Platform's Audience Composition feature is specifically designed to build audiences using visual, multi-step workflows - including ranking profiles by an attribute (like loyalty points), applying a "Top N" cutoff (top 1000), and enriching the result with additional attributes from a profile-enabled dataset, all without writing code.

  • A (Import Audience) is wrong because importing is for bringing in pre-built, externally generated audience files (e.g., a CSV), not for constructing logic within AEP.
  • C (Rule-based Audience) (Segment Builder) is wrong because while it supports attribute filtering, it does not natively support rank-and-top-N selection or profile enrichment with additional attributes from a separate dataset.
  • D (Apply filters to create a "Ranked audience" using the dataset) is wrong because this is not a recognized AEP audience creation method - it describes a partial concept but doesn't map to any actual feature.

Memory tip: Think of "Compose" like building a recipe - you layer steps: rank by loyalty points → slice the top 1000 → enrich with city/gender. If the question mentions ranking + top N + enrichment, the answer is always Compose Audience.

Topics

#audience composition#ranked audience#audience enrichment#loyalty points

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