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Adobe AD0-E605 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Activation: Covers activation patterns within the CDP, guardrails governing activation, and how on-site personalization is configured and delivered.
Topic 2
  • Data Architecture: Covers translating RDBMS to Adobe RT-CDP's NoSQL model, best practices for profile modeling, and designing identity strategies and entity relationships.
Topic 3
  • Administration: Covers monitoring tools, alerts, license usage types, and use cases for Attribute-Based Access Control (ABAC) within Adobe RT-CDP.
Topic 4
  • Governance: Covers data governance best practices for Adobe RT-CDP implementations and managing data across the platform's various services.
Topic 5
  • Real-Time Customer Profile: Covers how profiles are assembled and composed, how the Identity Graph works, and the differences between edge and hub profiles.
Topic 6
  • Segmentation: Covers methods for building audiences and segments, the various segmentation types and how they operate, and applying use cases to segment activation.

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Adobe Real-Time CDP Business Practitioner Professional Sample Questions (Q20-Q25):

NEW QUESTION # 20
What is a critical step in composing a unified customer profile?

Answer: D


NEW QUESTION # 21
A data engineer has configured a new dataset for Adobe Experience Platform which is enabled for Profile. The new source uses an individual profile-based schema with its primary identity as Email. The initial file that is loaded to create the profiles contains 100 profile fragments (records), but after ingestion, only 75 profile fragments are created. No errors were observed during the ingestion.
What could be the reason for this?

Answer: C


NEW QUESTION # 22
A retail company uses Adobe RT-CDP to manage customer data across multiple regions. To comply with local regulations, they must restrict data activation based on geographic location.
What governance feature should they implement?

Answer: B


NEW QUESTION # 23
How does the Adobe Real-Time CDP manage data when multiple records, coming from different sources but belonging to the same customer, are processed?

Answer: B

Explanation:
The fundamental value proposition of Adobe Real-Time CDP is its ability to break down data silos by creating a360-degree viewof the customer. When the system ingests multiple records from different sources (such as a CRM system, an e-commerce platform, and web clickstream data) that share common identifiers, it uses theIdentity Serviceto recognize they belong to the same person.
The platform then dynamically merges these "profile fragments" into a single,unified Real-Time Customer Profile. This merging happens in real-time, ensuring that as soon as new data arrives, it is reflected in the unified view. This process allows for consistent personalization across channels; for example, a purchase made offline in a retail store can immediately suppress "buy now" ads for that same product on the website.
Option B is incorrect as it describes the very siloed state the CDP is designed to solve. Option C is incorrect because the platform preserves all relevant behavioral and attribute data rather than discarding records based on frequency. Option D is a slight misinterpretation ofMerge Policies; while Merge Policies can prioritize one source over another for a specific attribute (Timestamp-ordered or Dataset-precedence), the platform still merges the records into a single profile rather than just weighing them.


NEW QUESTION # 24
A marketer is using Adobe Real-Time CDP and wants to exclude potential customers who have already made a purchase in the last 30 days from being targeted in an upcoming holiday discount campaign. What criterion would the marketer use to create the audience segment for the campaign?

Answer: C

Explanation:
To effectively exclude a group from a campaign in Adobe Real-Time CDP, the marketer first needs to define the group they wish to suppress. The most efficient way to achieve this in theSegment Builderis to create an audience of "Recent Purchasers." By selecting the criterion "Segment all profiles who have completed a purchase in last 30 days" (Option C), the marketer creates a dynamic list of individuals who have triggered a commerce purchase event within the specified lookback window.
Once this "Recent Purchasers" segment is created, the marketer can then use it as anexclusion rulein the main campaign segment. For example, the campaign audience would be defined as: "All Customers"EXCLUDE
"Recent Purchasers." This approach is a standard best practice for optimizing marketing spend and preventing customer fatigue.
Option A is incorrect because "not completed a purchase" is a negative lookback that is computationally more expensive and less precise than identifying a positive action for exclusion. Option B is irrelevant to the purchase history requirement. Option D would exclude browsers, not just purchasers, which would likely over- suppress the audience. By building a positive segment of those whohavepurchased, the marketer can reuse that segment for different purposes (such as a "Thank You" campaign) while simultaneously using it as a suppression list for the holiday discount.


NEW QUESTION # 25
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