Adobe AD0-E605 Dumps Questions Answers

When new attributes are added to anXDM Schema, several technical failure points must be verified to ensure data flows correctly into theReal-Time Customer Profile. The first and most critical investigation step is to review the schema and the ingestion payload mapping.

In Adobe Experience Platform, simply adding a field to a schema does not automatically populate it; the ingestion source (the REST API payload in this case) must have the new field mapped exactly to the correct XDM path. If there is a mismatch in the field name (e.g., preferred_channel vs. preferredChannel) or if the field was added to the schema but not "enabled for profile," the data will land in theData Lakebut will be ignored by theProfile Service.

Option A and D are unlikely to be the cause if other parts of the profile are updating correctly. Option C is rarely the issue for specific field missingness, as capacity issues usually result in total ingestion failure or significant latency across all fields. By verifying thePayload-to-XDM mappingand ensuring the schema is marked forProfile, the engineer can confirm that the data is being correctly recognized and stored within the customer's unified view.

To effectively exclude a group from a campaign in Adobe Real-Time CDP, the marketer first needs to define the group they wish to suppress. The most efficient way to achieve this in theSegment Builderis to create an audience of "Recent Purchasers." By selecting the criterion "Segment all profiles who have completed a purchase in last 30 days" (Option C), the marketer creates a dynamic list of individuals who have triggered a commerce purchase event within the specified lookback window.

Once this "Recent Purchasers" segment is created, the marketer can then use it as anexclusion rulein the main campaign segment. For example, the campaign audience would be defined as: "All Customers"EXCLUDE"Recent Purchasers." This approach is a standard best practice for optimizing marketing spend and preventing customer fatigue.

Option A is incorrect because "not completed a purchase" is a negative lookback that is computationally more expensive and less precise than identifying a positive action for exclusion. Option B is irrelevant to the purchase history requirement. Option D would exclude browsers, not just purchasers, which would likely over-suppress the audience. By building a positive segment of those whohavepurchased, the marketer can reuse that segment for different purposes (such as a "Thank You" campaign) while simultaneously using it as a suppression list for the holiday discount.

In Adobe Real-Time CDP, the profile assembly process is governed byMerge Policies. When data is ingested from multiple sources, it often results in "profile fragments"—disparate pieces of information about the same individual. The Merge Policy acts as the set of rules that theReal-Time Customer Profileservice uses to determine how these fragments are prioritized and combined into a single, unified view.

A Merge Policy specifies two critical components: theIdentity Stitchingmethod (Private Graph or Co-occurrence) and theAttribute Prioritization. The latter determines which dataset's values "win" in the event of a conflict (e.g., if Dataset A says a user lives in New York and Dataset B says Los Angeles). By associating a dataset with a specific merge policy, the architect ensures that only the data intended for the unified profile is included and that the most accurate, authoritative source is represented.

Options B and C are incorrect because profile assembly is an automated structural process, not a manual selection or a result of segmentation logic. Option D is incorrect because the identity graph defines thelinksbetween identities, but the Merge Policy is what defines therulesfor the data assembly itself. Therefore, the Merge Policy is the ultimate arbiter of how records are merged and which data points constitute the final "Active Profile."