Adobe AD0-E602 Practice Test - Questions Answers, Page 2

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. Reference:

https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/sequentialsegments.html?lang=en

According to the Adobe documentation, Linkedln Matched Audiences is a type of destination that allows matching profiles based on hashed email addresses, phone numbers, or mobile device IDs (GAID or IDFA) with Linkedln users across various Linkedln services, such as Campaign Manager and Marketing Solutions API. This type of destination can be used to target audiences on Linkedln using these three identities. Reference: https://experienceleague.adobe.com/docs/experienceplatform/destinations/catalog/linkedin-matched-audiences.html?lang=en

According to the Adobe documentation, attributes are fields that describe profile characteristics or traits, such as demographic information, preferences, or interests. Attributes can be dragged onto the segment builder canvas to define segment rules based on attribute values or ranges. In this case, the practitioner can drag an attribute that indicates the state of residence and set it to California.

Reference: https://experienceleague.adobe.com/docs/experienceplatform/segmentation/ui/segment-builder.html?lang=en#attributes

According to the Adobe documentation, segment job is a feature that allows running an on-demand evaluation of segments using batch datasets and getting an updated segment count within minutes.

Segment job can be used to achieve this task by selecting the segment and clicking on "Run segment job" from the action bar. Reference: https://experienceleague.adobe.com/docs/experienceplatform/segmentation/ui/segment-job.html?lang=en

According to the Adobe documentation, segmentMembership.status is a field that indicates the current status of a profile's membership in a segment, such as Active, Expired, or Realized. This field must be selected when mapping attributes to a streaming profile export destination to include Active and Expired members in subsequent incremental exports. Reference:

https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/profileexport.html?lang=en#mapping-attributes

According to the Adobe documentation, identity and namespace are the two required fields that must be included in a request to access or delete through the privacy service. Identity is the value of the identifier for the profile, such as an email address or a phone number. Namespace is the type of identifier, such as ECID or CRM ID. Reference:

https://experienceleague.adobe.com/docs/experience-platform/privacy/ui/createrequest.html?lang=en#required-fields

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. Reference:

https://experienceleague.adobe.com/docs/experienceplatform/privacy/home.html?lang=en#applications

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. Reference: https://experienceleague.adobe.com/docs/experienceplatform/data-governance/dule/dule-overview.html?lang=en#dule-overview

According to the Adobe documentation, profile data is a type of data label that indicates data that describes characteristics or traits of an individual or group, such as demographic information, preferences, or interests. Geographic data can be categorized as profile data, as it describes the location of an individual or group. Reference: https://experienceleague.adobe.com/docs/experienceplatform/data-governance/labels/data-labels.html?lang=en#data-labels