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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Unification | 15-20% | - Identity resolution - Data harmonization - Profile merge rules - Schema management |
| Topic 2: Privacy and Governance | 15-20% | - Data access and deletion requests - Data governance policies - Privacy compliance (GDPR, CCPA) - Consent management |
| Topic 3: Foundations and Configuration | 20-25% | - Data prep and transformation - Account and user configuration - Real-Time CDP overview and core concepts - Data ingestion setup |
| Topic 4: Reporting and Analytics | 5-10% | - Profile and segment reporting - Metrics and dashboards - Data quality monitoring |
| Topic 5: Activation | 15-20% | - Destinations setup and configuration - Activation workflows - Destination monitoring - Data export management |
| Topic 6: Segmentation and Targeting | 20-25% | - Streaming segmentation - Segment evaluation and activation - Segment builder interface - Segment membership and management |
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NEW QUESTION # 68
What is the primary consideration when designing identity relationships for modeling in Adobe RT- CDP?
Answer: C
NEW QUESTION # 69
What are key components of role-based access control in RT-CDP? (Select two.)
Answer: A,B
NEW QUESTION # 70
A large retail company is currently using a traditional relational database management system (RDBMS) to store and manage order data. However, the company is experiencing scalability and performance issues as the number of orders continues to grow. The company is considering loading to Adobe Real-Time CDP to take advantage of its Experience Data Model (XDM) data model and real-time data capabilities.
The company's order table includes the following attributes:
* Order ID
* Customer ID
* Order date
* Order status
* Shipping address
* Billing address
The company's order items table includes the following attributes:
* Order ID
* Item ID
How would the architect translate this data model into Adobe Experience Platform XDM data model?
Answer: A
Explanation:
In Adobe Real-Time CDP, transactional data such as orders and their associated line items are best represented using theXDM ExperienceEventclass. Unlike traditional RDBMS structures that require separate tables for headers and details joined by a foreign key, XDM is optimized for adenormalized, hierarchical NoSQL model.
For this retail use case, the architect should create a singleXDM ExperienceEvent schema. The "Order" attributes (Order ID, Date, Status, Addresses) form the base of the event, while the "Order Items" are typically modeled as anarray of objectswithin that same schema. This approach allows the platform to capture the entire transaction as a single "point-in-time" event. By marking the Customer ID as anIdentity, the platform's Identity Service automatically links these transactional events to the correctReal-Time Customer Profile.
Option B is incorrect because Order data is behavioral and immutable (events), whereas the Individual Profile class is reserved for stateful, slow-changing customer attributes. Options C and D are incorrect because they suggest creating multiple schemas or custom schemas to replicate the relational model. Using multiple schemas for a single transaction would necessitate complex joins, which defeats the performance benefits of the Adobe Experience Platform's NoSQL architecture. By using a single ExperienceEvent schema, the company achieves maximum scalability and ensures that the data is immediately available for high- performance segmentation and real-time activation.
NEW QUESTION # 71
A customer is bringing their brand data using Mobile and Web SDK into AEP to use for brand marketing using Adobe Real-Time CDP. The client has a license limited to 5 million Addressable Audience. What strategy should be adopted by the Data Architect to keep profile count in check and within license limits?
Answer: A
Explanation:
In Adobe Experience Platform, managing theAddressable Audiencecount is critical for license compliance, especially when ingesting high volumes of top-of-funnel data via Web and Mobile SDKs.Pseudonymous TTL (Time-to-Live)is the primary architectural strategy used to automatically manage the lifecycle of profiles that lack a durable identity.
When users browse a website or app anonymously, the system creates profiles keyed off apseudonymous identifier(like an ECID). Without a management strategy, these transient profiles persist indefinitely, quickly exhausting the 5 million profile license limit. By configuring aPseudonymous TTLat the sandbox or identity level, the architect can instruct theReal-Time Customer Profileservice to automatically delete profiles that have not seen any activity within a specific timeframe (e.g., 14 or 30 days) and do not possess a "durable" identity (such as an Email or CRM ID).
Option A (Experience Event TTL) removes individual events but does not delete the profile record itself.
Option B (Privacy API) is intended for one-off GDPR/CCPA requests, not automated capacity management.
Option D (Datalake Storage TTL) only affects the long-term storage and not theActive Profilecount used for licensing. By implementing Option C, the architect ensures that only active or known customers occupy the 5 million slots, while stale, anonymous fragments are purged to make room for new prospects.
NEW QUESTION # 72
A retail company wants to send product recommendations to customers who recently browsed their website, within seconds of their interaction.
Which activation pattern should they use?
Answer: A
NEW QUESTION # 73
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