Free Adobe AD0-E602 Practice Exam with Questions & Answers | Set: 2

According to the Adobe documentation, policies and labels are two key components of the Data Governance framework within AEP. Policies are rules that define how data can be used based on data usage labels and destination labels. Labels are metadata tags that indicate the type, purpose, and usage of data and destinations. The Data Steward must consider these items during set up within AEP to ensure data quality, compliance, and governance. Reference:https://experienceleague.adobe.com/docs/experience-platform/data-governance/home.html?lang=en#data-governance-framework

According to the Adobe documentation2, streaming ingestion is the type of ingestion that allows data to appear in real time in customer profiles. Streaming ingestion enables data to be ingested continuously from sources such as mobile applications, websites, or IoT devices. Streaming ingestion also supports identity stitching and profile merge policies to create unified customer profiles. References: 2 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#streaming-ingestion

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. Reference:https://experienceleague.adobe.com/docs/experience-platform/data-governance/home.html?lang=en#roles

The most likely explanation for the dramatic drop in segment size is that the majority of browsers on the website are not authenticated. This means that they do not have a loyalty account or a unique identifier that can be matched with the gender attribute from the loyalty system. Therefore, they are excluded from the segment that ANDs the gender attribute with the browsing behavior. To increase the segment size, the retailer could use other methods to identify or infer the gender of anonymous browsers, such as cookies, device IDs, or third-party data.

According to the Adobe documentation, merge policies are a feature of Real-Time CDP that can be used to determine how data will be prioritized and what data will be combined to create a unified view of a customer profile. Merge policies define the rules and logic for merging profile attributes from different data sources into a single profile. Merge policies can be either predefined or custom, and they can be applied at the dataset level or the tenant level. References:https://experienceleague.adobe.com/docs/experience-platform/profile/merge-policies/overview.html?lang=en#merge-policies-overview