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NEW QUESTION # 51
What is the maximum number of stitched identities in an Identity Graph for a Real-Time Customer Profile?
Answer: C
NEW QUESTION # 52
In the context of Adobe's Real-Time CDP, what defines an Identity Graph?
Answer: A
Explanation:
In Adobe Real-Time CDP, anIdentity Graphis a structural representation of the relationships between different identity namespaces that belong to an individual. It is the engine that enablesIdentity Stitching.
When multiple datasets are ingested into the platform, they often contain different "fragments" of a customer' s identity-for instance, one dataset might identify a user by their Email, while another uses a loyalty_id. The Identity Graph manages these connections, ensuring that all data associated with these various IDs is aggregated into a single, unified profile.
Option B describes a transaction log, not an identity structure. Option C is incorrect because the graph links identities(people), not the datasets themselves. Option D describes a "Customer Journey," which is a visualization of interactions over time; while the Identity Graphenablesthe tracking of that journey by linking the sessions, the graph itself is strictly the map of identity overlaps. By maintaining this graph, Real-Time CDP can resolve identities in real-time, allowing for consistent messaging even as a customer moves between anonymous browsing and authenticated states across different devices and platforms.
NEW QUESTION # 53
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: D
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 # 54
What is the primary purpose of Attribute-Based Access Control (ABAC) in Adobe RT-CDP?
Answer: D
NEW QUESTION # 55
A marketer needs to target their ads to premium customers who are frequent visitors and have made purchases over the value of $10,000 in the past six months. What type of segmentation criteria would best suit this use case in Adobe Real-Time CDP?
Answer: A
Explanation:
This use case requires analyzing specific actions taken by the customer over time-specifically "frequent visits" and "purchases over $10,000." In Adobe Real-Time CDP, these are classified asExperienceEvents.
Therefore,Event-based segmentation(also known as behavioral segmentation) is the core criteria type required.
In the Segment Builder, the marketer would utilizeaggregateson the ExperienceEvent class. For example, they would drag the "Purchase" event into the builder and apply a function to "Sum" the priceTotal where the value is greater than or equal to 10,000, constrained by a six-month time filter. They would similarly use a
"Count" function on "Web Visit" events to define "frequent visitors" (e.g., count > 10).
Option C (Profile-based) is incorrect because profile attributes usually store the current "state" (like name or email) rather than the history of transactions, unless those totals were pre-calculated in an external system and ingested as attributes. Option A and D are not formal segmentation categories within the Adobe Experience Platform technical framework. While the segment uses time and profiles, thelogicis fundamentally driven by the aggregation of events. By focusing on event-based criteria, the marketer can create a highly dynamic and accurate audience that updates as new transaction data flows into the platform.
NEW QUESTION # 56
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