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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Architecture and Data Model | 20% | - Platform architecture and components
|
| Topic 2: Identity and Profile Management | 22% | - Profile composition and calculation
|
| Topic 3: Data Ingestion | 18% | - Batch and streaming ingestion
|
| Topic 4: Destinations and Activation | 16% | - Destination configuration and types
|
| Topic 5: Segmentation and Audience Management | 15% | - Audience creation and maintenance
|
| Topic 6: Privacy, Governance and Security | 9% | - Data governance framework
|
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NEW QUESTION # 46
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 # 47
A data architect creates two XDM schemas: Schema A and Schema B. What are the three requirements for defining a schema relationship so that Schema A references Schema B for multi-entity segmentation? (Choose three.)
Answer: A,C,D
NEW QUESTION # 48
A data architect is tasked with designing an Adobe Experience Platform architecture for a multi-channel retail business. Which two identity namespaces would be used to model the identities on the dataset of online and offline transactions? (Choose two.)
Answer: A,D
Explanation:
To effectively bridge the gap between digital interactions and physical transactions in a multi-channel retail environment, Adobe Real-Time CDP utilizes specificIdentity Namespacesto create a cohesiveIdentity Graph.
Experience Cloud ID (ECID), formerly known as MCID, is the primary namespace used for tracking online behavior. It is automatically generated by the Adobe Experience Platform Web and Mobile SDKs to identify unique visitors across a company's web properties and apps. By using ECID, the architect can capture anonymous or pseudonymous behavioral data such as product views and cart additions.
For offline transactions (e.g., in-store purchases) and cross-channel linking, a PII-based identifier is required.
Email_sha256is the industry-standard namespace for this purpose. When a customer provides an email at a physical point-of-sale (POS) or during an online checkout, hashing that email (using the SHA-256 algorithm) allows the business to safely store and match identities without exposing plain-text sensitive data. In theReal- Time Customer Profile, the Identity Service acts as the "glue"; it recognizes when a transaction containing an email_sha256 value belongs to the same individual associated with a specific ECID from a web session.
Option D is redundant as MCID is the legacy term for ECID. Option C (Device_ID) is typically too granular for general cross-channel transaction modeling. By combining ECID and Email_sha256, the architect ensures that online browsing behavior is stitched to offline purchase history, enabling high-value use cases like
"online-to-offline" attribution and personalized re-engagement.
NEW QUESTION # 49
What are common activation patterns in Adobe RT-CDP? (Select two.)
Answer: A,B
NEW QUESTION # 50
What are use cases for Attribute-Based Access Control (ABAC) in Adobe RT-CDP? (Select two.)
Answer: A,C
NEW QUESTION # 51
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