AD0-E602 Sample Questions Answers

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/create-request.html?lang=en#required-fields

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/experience-platform/segmentation/ui/segment-builder.html?lang=en#attributes

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/sequential-segments.html?lang=en

According to the Adobe documentation, I2 is a type of identity label that indicates data that is indirectly identifiable, such as hashed email addresses or phone numbers. These datasets can be shared per company policies, as they do not contain directly identifiable data, such as I1 or 11 labels. Reference:https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#identity-labels

According to the Adobe documentation, destination labels are labels that indicate the type and purpose of a destination, such as on-site or off-site, personalization or analytics, etc. Data usage policies are rules that define how data can be used based on data usage labels and destination labels. These two must be used to enforce data governance for activating segments to platform destinations by ensuring that only compatible data and destinations are allowed. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/labels/destination-labels.html?lang=en https://experienceleague.adobe.com/docs/experience-platform/data-governance/policies/policies-overview.html?lang=en

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/experience-platform/segmentation/ui/segment-job.html?lang=en

According to the Adobe documentation, C4 is a type of contract label that indicates data that cannot be used for off-site targeting purposes, such as email targeting destination. To resolve the policy violation, the practitioner can either modify the segment attribute or merge policy to exclude the C4 data field from the segment definition, or remove the segment from the destination altogether. Reference:https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#contract-labels

According to the Adobe documentation, timestamp ordered is a merge method that can be used to create a custom merge policy in Adobe Experience Platform for an upcoming use case to ensure profile attributes take precedence from latest datasets and are applied across all datasets automatically. Timestamp ordered merge method prioritizes profile attributes based on their ingestion timestamp, with newer values taking precedence over older values. Timestamp ordered merge method also applies globally across all datasets within a tenant. References:https://experienceleague.adobe.com/docs/experience-platform/profile/merge-policies/methods.html?lang=en#timestamp-ordered

According to the Adobe documentation, destinations are endpoints where data can be activated from Adobe Experience Platform, such as email service providers, social media platforms, or analytics tools. The activation rate is a metric that measures how many profiles or segments are successfully activated to a destination within a given time period. To monitor the dataflows activation rate, the practitioner would need to select destinations as the type of ingestion within the Monitoring Dashboard and view the activation metrics for each destination. Reference:https://experienceleague.adobe.com/docs/experience-platform/monitoring/ui/dashboard.html?lang=en#destinations

Two steps that the retailer should take to analyze their shoe segment in this way using RTCDP are to divide the size of each age group segment into the total sum of athletic shoe purchaser events to get percentage splits for analysis and to create multiple segments which AND each age group attribute with athletic shoe purchaser events. The first step allows the retailer to calculate the proportion of each age group among the shoe buyers, while the second step allows the retailer to create segments that include only the shoe buyers who belong to a specific age group.

According to the Adobe documentation, suppression is a use-case that involves creating segments of existing customers who have already purchased a product or service and excluding them from paid campaigns that are aimed at acquiring new customers. This use-case could help the retailer meet their business goal of increasing ROAS by reducing wasted ad spend on existing customers and focusing on potential customers who have not bought yet. Reference:https://experienceleague.adobe.com/docs/experience-platform/segmentation/use-cases/suppression.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/experience-platform/destinations/catalog/linkedin-matched-audiences.html?lang=en