Free AD0-E605 Questions Attempt

When setting up a manual batch dataflow in Adobe Experience Platform, the first technical hurdle is ensuring that the source file is compatible with the platform's ingestion engine. Adobe Real-Time CDP supports specific file formats for batch ingestion, primarilyParquetandJSON. If the CRM data is exported as a CSV, the engineer must ensure it follows strict formatting rules or convert it to a supported format to prevent ingestion failures during the validation stage.

Checking the file format (Option B) is a foundational step because the ingestion service validates the file structure against the target XDM schema immediately upon upload. While the target schema must indeed be associated with the dataset (Option A), this is a step within the dataflow creation process rather than a preliminary check of the batch data itself. Option C is a legal/governance concern rather than a technical framework requirement for dataflow creation. Option D is incorrect because batch ingestion is typically scheduled or triggered manually; it is not a "trigger-on-creation" mechanism like streaming. Ensuring the file format is correct is the primary "pre-flight" check to guarantee that the mapping interface can correctly interpret the source fields for the marketing campaign data.

To create a unified Real-Time Customer Profile, Adobe Experience Platform relies on theIdentity Serviceto stitch data together across disparate sources. The correct approach involves configuringIdentity Namespaceswithin the XDM schemas used by each data source. An Identity Namespace provides context for an identity value (e.g., distinguishing an "Email" from a "CRM ID").

When multiple datasets are "Profile-enabled," the system looks for common identity markers. For example, a CRM record might contain a CRM_ID and an Email, while a website interaction contains an ECID and an Email. By defining these fields as identities within their respective schemas and assigning them to the correct namespaces, theIdentity Graphcan link the CRM_ID to the ECID via the shared Email.

Option A is incorrect because using a single namespace for different ID types would lead to data collisions and failed resolution. Option C is incorrect because datamustbe mapped to XDM and enabled for Profile to be included in the unified view; raw, unmapped data remains in the data lake and cannot participate in real-time services. Option D is a strategic choice but not a technical requirement for unification; the platform is designed to handle both high-velocity behavioral data and high-volume batch data (offline) simultaneously to form a complete 360-degree view.

Creating a unified customer profile in Adobe Experience Platform (AEP) depends fundamentally on theIdentity Serviceand its ability to bridge disparate data fragments. The crucial process is the configuration of theIdentity Graph, which serves as a map of relationships between various identity namespaces (such as Email, CRM ID, and ECID) across different datasets. When data is ingested, the Identity Service looks for these identifiers; if two different records share a common identifier, the service links them together in the graph.

Without a properly configured Identity Graph, data remains siloed in its original datasets. For example, if a "Purchase" event from an offline system contains a CRM ID and a "Web Visit" event contains an ECID, the platform cannot know they belong to the same person unless a third record (perhaps a login event) connects the CRM ID to the ECID. Option A is incorrect because a unified profile requires both attributes and behavioral events to be useful. Option C defeats the purpose of a CDP, which is designed to integratemultiplesources. Option D is a result of the system's function but not the specific underlying process required to achieve unification. Therefore, reconciling identifiers through the Identity Graph is the technical foundation for the "Single View of the Customer."

When an audience is imported into Adobe Experience Platform from an external source (like a CSV upload or a partner destination), it is treated as anExternal Audience. Unlike audiences natively generated within AEP, external audiences are "non-durable" by default regarding their metadata. This means that while the platform knows which profiles belong to that audience, the specific attributes associated with that external list (such as "Destination.City") are not automatically ingested into theReal-Time Customer Profileas permanent attributes.

The "challenges" mentioned occur because theSegment Builderrequires attributes to be part of an XDM schema to perform complex cross-attribute filtering. Because the "Destination.City" attribute exists only within the context of the external audience membership and is not linked to the unified profile schema, it cannot be used in a join with behavioral Event attributes.

Option A is incorrect because external audiences are limited in combination withanyother dynamic criteria in the visual builder unless they are first converted into profile attributes. Option D is a potential workaround but does not explain thereasonfor the immediate failure. Option C is incorrect as the UI does support basic external audience selection. The fundamental issue is that external attributes are transient and not part of theXDM Profilestore, thus they lack the relational "glue" required for complex segmentation logic involving time-series events.