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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Privacy and Governance | 15-20% | - Data governance policies - Data access and deletion requests - Privacy compliance (GDPR, CCPA) - Consent management |
| Topic 2: Segmentation and Targeting | 20-25% | - Segment membership and management - Segment builder interface - Streaming segmentation - Segment evaluation and activation |
| Topic 3: Activation | 15-20% | - Destinations setup and configuration - Data export management - Destination monitoring - Activation workflows |
| Topic 4: Reporting and Analytics | 5-10% | - Metrics and dashboards - Data quality monitoring - Profile and segment reporting |
| Topic 5: Foundations and Configuration | 20-25% | - Data ingestion setup - Real-Time CDP overview and core concepts - Data prep and transformation - Account and user configuration |
| Topic 6: Data Unification | 15-20% | - Data harmonization - Profile merge rules - Schema management - Identity resolution |
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NEW QUESTION # 26
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: B,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 # 27
What metrics are tracked for license usage in Adobe RT-CDP? (Select two.)
Answer: A,C
NEW QUESTION # 28
A data Engineer wants to use edge segmentation. For doing that, hub profiles related to active edge profiles will be stored on the edge.
How long is the time to live on the edge for these active edge profiles? What is the time to live setting for edge profiles?
Answer: C
NEW QUESTION # 29
A consultant notices that two profiles have collapsed due to shared identities. What is the best way for the consultant to determine the specific dataset or batch responsible for the collapsed identity?
Answer: C
NEW QUESTION # 30
A financial services customer wishes to suppress people from active credit card campaigns as soon as they submit an application for the associated credit card name. The business's goal is to optimize ad spend by suppressing people quickly who convert and use the savings to help funnel more money back into their acquisition strategies. The current data model that IT has provided from their data warehouse looks like the following:
It is assumed that each application submit contains an offer that is always associated to a credit card name.
Assuming all applications are streamed into the Real-Time Customer Profile, in which two ways could a developer model the application submit event to ensure the real-time suppression requirement is supported?
(Choose two.)
Answer: A,D
Explanation:
To support real-time suppression in Adobe Real-Time Customer Data Platform (RTCDP), the data must be modeled in a way that allows theReal-Time Customer Profileto evaluate segments immediately upon data ingestion.
Firstly,Application Submitis a point-in-time occurrence or interaction, which according to Adobe XDM (Experience Data Model) best practices, must be modeled using theXDM Experience Eventclass (Option D ). Experience Events are immutable records of what happened and when, and they are the primary driver for streaming segmentation. Unlike the Individual Profile class, which stores stateful attributes, the Experience Event class allows the system to trigger segment membership changes the moment the event is streamed into the platform.
Secondly, for real-time segmentation to be performant and accurate, the profile must have all necessary context available within the event's scope. In the provided data warehouse model, the "Credit Card Name" (the criteria for suppression) lives in a separateOffertable. While RTCDP supports schema relationships,
"Multi-entity segmentation" (linking events to lookup tables) can sometimes introduce latency or limitations in streaming evaluation. To ensure the "fastest" suppression,de-normalizingthe Offer details (like Credit Card Name) directly into theApplication Submitevent schema (Option B) ensures that the segmentation engine has all the data it needs in a single record. This eliminates the need for the system to perform a join or lookup at the moment of ingestion, allowing for the near-instantaneous suppression required to optimize ad spend.
NEW QUESTION # 31
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