Free Access Adobe.AD0-E605.v2026-01-19.q49 Practice Test (Page 2)

Question 1

What are benefits of using the Identity Graph in Adobe RT-CDP? (Select two.)

A.Enables probabilistic and deterministic identity resolution.

B.Enhances manual identity mapping workflows.

C.Resolves multiple identifiers into a single customer profile.

D.Prevents unification of structured and unstructured data.

Question 2

Multiple records within the same XDM Individual Profile class-based dataset are all related to each other through the identity graph.
At the time of profile assembly, what would be expected in terms of how those records will be merged together?

A.Profile will use the last processed fragment as truth and use the other fragments in timestamp order to fill in the gaps.

B.Profile will randomly pick a fragment as truth and use the other fragments in timestamp order to fill in the gaps.

C.Profile will keep only one fragment and ignore the other fragments completely.

D.Profile will merge all fragments and overwrite previous data randomly.

Question 3

A marketer would like to create an Audience by ranking the existing set based on the loyalty points, and select the top 1000 profiles. The marketer would also like to enrich the audience with additional attributes like city and gender from a profile enabled record type dataset. The marketer wishes to accomplish all of this using Adobe Experience Platform.
Which method should the marketer use to create an Audience to achieve this?

A.Import Audience

B.Compose Audience

C.Rule-based Audience

D.Apply filters to create a "Ranked audience" using the dataset

Question 4

A marketer wants to create a segment based on profiles that have these seven attributes:
LoyaltyId, LoyaltyLevel, Location, Age, MaritalStatus, Email, and Phone. The marketer wants the segment to qualify all profiles that have these attributes: LoyaltyLevel and Age, and disqualify profiles that have either of these attributes: MaritalStatus and Location.
How can the audience rule-builder UI be used to build this segment?

A.Drag and drop the LoyaltyLevel and Age attributes into an "Include all" container Then, drag and drop the MaritalStatus and Location attributes into an "Exclude all" container

B.Drag and drop the LoyaltyLevel and Age attributes into an "Include all" container Then, drag and drop the MaritalStatus and Location attributes into an "Exclude any of" container

C.Drag and drop the LoyaltyLevel and Age attributes into an "Include any of" container Then, drag and drop the MaritalStatus and Location attributes into an "Exclude all" container

D.Drag and drop the LoyaltyLevel and Age attributes into an "Include any of" container Then, drag and drop the MaritalStatus and Location attributes into an "Exclude all" container

Question 5

A marketer is trying to create an audience that can be streaming evaluated, but it requires they utilize data spanning the last 7 days.
The definition they have is as follows:
- All profiles who have started an application in the last 7 days but
never submitted it (batch logic).
- They must currently live in the mid-west and be actively viewing
credit card options on the website (stream logic).
How best could they build this audience so that it can be streaming qualified?

A.Use manual batch updates to combine the batch logic and stream-based logic into one audience

B.Use data distiller to create an attribute using the batch logic and load that to profile and include in their audience definition with the stream-based logic

C.Use an audience for the batch logic and include that in their audience definition with the stream- based logic

D.Use profile computed attributes for batch logic and include that in their audience definition with the stream-based logic

Other Version: 964Adobe.AD0-E605.v2025-09-05.q50

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