Adobe Real-Time CDP Business Practitioner Professional AD0-E602 Exam Questions

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Total 50 questions
Question 1

A retailer who is an Adobe Real-Time CDP (RTCDP) customer wants to understand the percentage split of different age groups who buy their athletic shoes to help inform which age group to reach in their next shoe marketing campaign.

Which two steps should the retailer take to analyze their shoe segment in this way using RTCDP? (Choose two.)



Answer : C, D

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.


Question 2

A Real-time CDP Business Practitioner is working to apply data labels according to DULE labeling.

At which level would should the business practitioner apply labels to propagate to chosen datasets and fields?



Answer : D

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/experience-platform/data-governance/dule/dule-overview.html?lang=en#dule-overview


Question 3

A Real-time CDP Business Practitioner must enable a scheduled evaluation of an organization's segments How should the segments be toggled on?



Answer : C

According to the Adobe documentation, to enable scheduled evaluation of segments, the practitioner must add all segments to schedule by selecting them from the Segments tab and clicking on ''Add to schedule'' from the action bar. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/schedule-segments.html?lang=en#schedule-segments


Question 4

A banking and insurance company has "memberid" as the unique user id for customers who land on their website from Google organic search and authenticate.

Which namespace is recommended to fetch profiles for known customers?



Answer : C

According to the Adobe documentation, a custom namespace is a namespace that is created by the user to define a specific type or source of identity value that is not available in the predefined namespaces. A custom namespace for memberid would be recommended to fetch profiles for known customers who land on their website from Google organic search and authenticate, because memberid is a unique user id that is specific to this use case and not covered by any predefined namespace. Reference: https://experienceleague.adobe.com/docs/experience-platform/profile/identity-service/namespace.html?lang=en#custom-namespaces


Question 5

A Real-Time CDP Business Practitioner wants to target audiences on Linkedln.

In order to target Linkedln profiles what three identities must be used to support this targeting?



Answer : A

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


Question 6

A data steward is working with a client who has provided geographic dat

a. Which labeling option is appropriate to categorize this type of data?



Answer : D

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/experience-platform/data-governance/labels/data-labels.html?lang=en#data-labels


Question 7

A financial services start-up implements Adobe Real-Time CDP and ingests third-party data with lead information. The start-up provides credit cards with crypto currency bonus offers.

Which two attributes could be used to understand high-value prospects? (Choose two.)



Answer : B, C

Two attributes that could be used to understand high-value prospects are household income and credit score. Household income indicates the financial capacity and spending power of a prospect, which could affect their interest in credit cards with crypto currency bonus offers. Credit score indicates the creditworthiness and risk level of a prospect, which could affect their eligibility and approval for credit cards with crypto currency bonus offers.


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Total 50 questions