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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: Privacy, Governance and Security | 9% | - Data governance framework
|
| Topic 4: Destinations and Activation | 16% | - Activation workflows and delivery
|
| Topic 5: Segmentation and Audience Management | 15% | - Audience creation and maintenance
|
| Topic 6: Data Ingestion | 18% | - Batch and streaming ingestion
|
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NEW QUESTION # 18
After going live with an Adobe Real-Time CDP implementation, a data architect notices that a field defined in field group A should actually be part of field group B.
How can this issue be resolved?
Answer: A
NEW QUESTION # 19
Which type of constraint can be defined in the Batch API's payload while sending bulk data to Adobe Real- Time CDP?
Answer: C
Explanation:
When performing bulk data ingestion using theBatch Ingestion API, the most critical constraint that must be defined is theData Schema. Adobe Experience Platform is built on the principle ofExperience Data Model (XDM)compliance. Every batch created must be associated with a specificDataset, which in turn is strictly bound to an XDM Schema.
When a developer initiates a "Create Batch" request, the platform requires the datasetId. This ID ensures that all incoming records in the payload are validated against the structure, data types, and mandatory fields defined in the schema. This constraint is fundamental to maintaining data integrity within theData Lakeand ensures that theReal-Time Customer Profileservice can correctly ingest and merge the fragments. Options like Batch Size and Batch Frequency are typically environmental or orchestration settings rather than constraints defined within the API's batch creation payload itself. By enforcing theData Schemaconstraint at the ingestion point, Adobe CDP prevents "dirty data" from entering the system, ensuring that segmentation and activation services can rely on a standardized and predictable data structure across all sources.
NEW QUESTION # 20
Which actions are associated with edge profiles? (Select two.)
Answer: C,D
NEW QUESTION # 21
A company wants to capture both customer_id and email_address as identities in their data feeds within the Real-Time customer profile. What is the recommended identity types that should be used for the identities listed above?
Answer: A
Explanation:
In Adobe Experience Platform,Identity Namespacesare used to categorize the types of identities that distinguish an individual across various channels and devices. When modeling data for theReal-Time Customer Profile, selecting the correctIdentity Typeis fundamental for accurate profile stitching and the integrity of the identity graph.
* customer_id (Cross-Device ID):A customer_id is typically an internal, durable identifier assigned by a brand (such as a CRM ID or Loyalty ID). Since this ID remains constant regardless of the hardware or browser the user utilizes, it is classified as aCross-Device ID. This classification allows the Identity Service to link multiple device-specific IDs (like ECIDs) to a single, stable person-level identifier, facilitating a unified cross-channel view.
* email_address (Email):For an email address, the recommended type isEmail. This is an out-of-the- box identity type optimized for handling string-based email identifiers. It is often the primary key used for marketing orchestration and cross-device identification when a user authenticates.
UsingCookie IDorDevice IDfor a customer_id would be technically inaccurate, as those are transient or hardware-bound.Person IDis a conceptual term rather than a standard identity type used for internal CRM IDs in the platform's namespace configuration. By correctly assigningCross-Device IDto the internal ID and Emailto the email field, developers ensure that the Identity Service can effectively perform "identity stitching" to merge data fragments into a cohesive profile.
NEW QUESTION # 22
A company wants to provide access to specific schema fields in a sandbox to various internal teams based on their functions. What is the primary attribute of attribute-based access control (ABAC) feature which can be used to manage access to these specific schema fields?
Answer: A
Explanation:
In Adobe Real-Time CDP,Attribute-Based Access Control (ABAC)is a powerful governance feature that allows for granular control over who can view specific data at the field level. The primary mechanism used to drive this functionality isAccess Labels(Option A).
Access labels are metadata tags applied directly toXDM schema fieldsor datasets. These labels categorize data based on its sensitivity or functional purpose (e.g., "PII," "Financial," or "Regional"). Once a field is tagged with an access label, the platform'sPermissionssystem usesPoliciesto evaluate whether a user's assigned role has the authority to view data associated with that specific label. If a user belongs to a functional team that lacks the corresponding permission for a "Sensitive" label, the data in those specific schema fields will be masked or completely hidden from them throughout the platform UI, including the Profile viewer and Query Service.
Options B, C, and D are not recognized technical terms or primary attributes within the Adobe Experience Platform ABAC framework. While "Access Profiles" might exist in general security terminology, AEP specifically utilizesRolesandPoliciestied toLabels. By leveraging Access Labels, a company can ensure that internal teams-such as a support team or a regional marketing group-only see the data necessary for their specific business function, maintaining strict data privacy and security compliance.
NEW QUESTION # 23
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