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53. Frage
What are guardrails for activating customer data to destinations? (Select two.)
Antwort: B,D
54. Frage
A marketer is looking to perform same page personalization for both known and pseudonymous users who visit the website.
How can this client achieve same page personalization using both profile and event attributes for both known and pseudonymous users who visit the website?
Antwort: D
55. Frage
A marketer is using Adobe Real-Time CDP and wants to exclude potential customers who have already made a purchase in the last 30 days from being targeted in an upcoming holiday discount campaign. What criterion would the marketer use to create the audience segment for the campaign?
Antwort: B
Begründung:
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.
56. Frage
A data engineer is concerned about a sudden increase in ingestion errors during data acquisition from a streaming source to Adobe Experience Platform (AEP). Which monitoring capability should the engineer enable in AEP to understand the cause of each ingestion failure?
Antwort: A
Begründung:
To effectively monitor and diagnose a sudden increase in ingestion errors, a data engineer must utilize the Alerting Servicein Adobe Experience Platform. By enablingAlert Rules for Ingestion Failures and Flow Run Failures (Option A), the engineer can receive proactive notifications whenever a dataflow encounters an issue.
Alerts provide the necessary operational visibility by linking directly to theMonitoringdashboard, where the engineer can inspect specific flow runs. This allows for the investigation of error codes, such as schema validation mismatches or identity resolution failures, which are common in streaming sources. WhilePartial Ingestion (Option B)can help a process continue by skipping faulty records, it is a data handling strategy rather than a monitoring capability to "understand the cause" of failures.
Options C and D refer toAdobe I/O Eventsor general system events, which are primarily used for building external, custom webhook integrations rather than using the native, built-in monitoring and alerting UI specifically designed for dataflow oversight. By subscribing to native alerts, the data engineer ensures they are notified of failures as they happen, allowing for immediate remediation to maintain the integrity of the Real-Time Customer Profile.
57. Frage
Which process is crucial for creating a unified customer profile in Adobe Experience Platform?
Antwort: D
Begründung:
Creating a unified customer profile in Adobe Experience Platform (AEP) depends fundamentally on the Identity 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 integratemultiple sources. 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."
58. Frage
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