Latest AD0-E602 Exam Questions

B.   

Timestamp ordered

Explanation: According to the Adobe documentation, timestamp ordered is a merge method that can be used to create a custom merge policy in Adobe Experience Platform for an upcoming use case to ensure profile attributes take precedence from latest datasets and are applied across all datasets automatically. Timestamp ordered merge method prioritizes profile attributes based on their ingestion timestamp, with newer values taking precedence over older values. Timestamp ordered merge method also applies globally across all datasets within a tenant.

A.   

Streaming Profile Export Destination

Explanation: According to the Adobe documentation, streaming profile export is a type of destination that allows sending raw events or attributes associated with profiles in real-time to an external system or service. This type of destination does not require creating or activating segments, and can use any identity namespace as the target identity.

D.   

Schema

Explanation: According to the Adobe documentation, DULE labeling is a framework that allows applying data usage labels (DULs) to data fields based on their usage category (Descriptive, Underlying, Linked, or Extracted). DULs can be applied at the schema level, which means they will propagate to all datasets and fields that use that schema.

B.   

Union schema

Explanation: According to the Adobe documentation2, a union schema is a feature of Real-Time CDP that can be used to view the amalgamation of all the fields contained within multiple schemas sharing the same class. A union schema is automatically generated by the platform and reflects the latest changes in the underlying schemas. A union schema can be used to create segments or explore profiles across different datasets.

C.   

Sequential Segmentation

Explanation: According to the Adobe documentation, sequential segmentation is a type of segmentation that allows defining a sequence of events or attributes that must occur in a specific order for a profile to qualify for a segment. This type of segmentation can be used to create a segment of users who have purchased an item in the last 90 days and then purchased another item 5 days later.

B.   

Creating data policies and applying them to datasets and fields.

D.   

Reviewing data, datasets, and data samples to apply and manage metadata usage labeling.

Explanation: According to the Adobe documentation, a Data Steward is a role that is responsible for ensuring data quality, compliance, and governance across the organization. Some of the main tasks of a Data Steward include creating data policies and applying them to datasets and fields, reviewing data, datasets, and data samples to apply and manage metadata usage labeling, monitoring data quality issues and resolving them, etc.

B.   

Self-serve applications

D.   

Applications integrated with Privacy Service

Explanation: According to the Adobe documentation, self-serve applications are applications that allow users to create and manage their own Privacy Service requests, such as Adobe Experience Platform, Adobe Campaign Standard, and Adobe Target. Applications integrated with Privacy Service are applications that have built-in integrations with Privacy Service and can automatically process requests, such as Adobe Audience
Manager, Adobe Analytics, and Adobe Experience Manager.

B.   

Suppression

Explanation: According to the Adobe documentation, suppression is a use-case that involves creating segments of existing customers who have already purchased a product or service and excluding them from paid campaigns that are aimed at acquiring new customers. This use-case could help the retailer meet their business goal of increasing ROAS by reducing wasted ad spend on existing customers and focusing on potential
customers who have not bought yet.

C.   

Identity value

D.   

Namespace

C.   

Create their own marketing action