Adobe Exam AD0-E602 Topic 1 Question 43 Discussion

Actual exam question for Adobe's AD0-E602 exam

Question #: 43
Topic #: 1

A Real-time CDP Business Practitioner set up a profile segment using Experience Event data on a Profile-enabled dataset on January 1, 2022. The segment size at creation was 25,000. When revisiting the segment at the end of February, the segment size decreased to 10,000.

What explains this decrease in segment size?

AThe dataset had a 30-day TTL set.

BMore profiles met the segment criteria during the time difference.

CThe created segment was activated to a destination.

Show Suggested Answer

Suggested Answer: B

According to the Adobe documentation, Profiles > Browse is where a Real-Time CDP Business Practitioner can go to search for Profiles by Merge Policy in the UI. Profiles > Browse allows the user to search for individual profiles or groups of profiles based on various criteria, such as identity value, namespace, dataset, or merge policy. The user can also view the profile details and timeline for each profile. Reference: https://experienceleague.adobe.com/docs/experience-platform/profile/ui/browse.html?lang=en#searching-for-profiles

by Tasia at Mar 06, 2025, 10:41 AM

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Adolph

28 days ago

Option A for the win! 30-day TTL on the dataset, case closed. Although, I do wonder if the profiles that dropped out decided to start a band called 'The Forgotten 15,000'.

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Willard

29 days ago

I'm going to have to go with B. More profiles meeting the criteria during that time period seems like the most logical explanation. Unless, of course, the CDP is haunted, then all bets are off!

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Blondell

1 months ago

Option C makes the most sense to me. If the segment was activated to a destination, that could easily explain the decrease in size as profiles were pushed to that destination.

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Louvenia

1 months ago

Hmm, I'm not sure that's the correct answer. Wouldn't more profiles meeting the criteria actually increase the segment size? I'm going to go with option C.

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Rodrigo

1 months ago

The decrease in segment size is likely due to the 30-day TTL set on the dataset. Profiles must have fallen out of the segment as they aged beyond the TTL.

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