Questions for the AD0-E602 were updated on : Dec 01 ,2025
A Real-time CDP business practitioner needs to determine how data will be prioritized and what data
will be combined to create that unified view of a customer profile.
Which feature should be used?
A
Explanation:
According to the Adobe documentation, merge policies are a feature of Real-Time CDP that can be
used to determine how data will be prioritized and what data will be combined to create a unified
view of a customer profile. Merge policies define the rules and logic for merging profile attributes
from different data sources into a single profile. Merge policies can be either predefined or custom,
and they can be applied at the dataset level or the tenant level. Reference:
https://experienceleague.adobe.com/docs/experience-platform/profile/merge-policies/overview.html?lang=en#merge-policies-overview
Where would a Real-Time CDP Business Practitioner go to search for Profiles by Merge Policy in the
Ul?
B
Explanation:
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
Which two standard widgets are available in a Profiles overview dashboard of Real-time CDP?
(Choose two.)
A, B
Explanation:
According to the Adobe documentation, profiles added and profile source are two standard widgets
that are available in a Profiles overview dashboard of Real-time CDP. Profiles added widget shows the
number of profiles that have been added to the platform over time. Profile source widget shows the
breakdown of profiles by their source type, such as batch or streaming. Reference:
https://experienceleague.adobe.com/docs/experience-platform/profile/ui/overview.html?lang=en#profiles-overview-dashboard
What is an example of a profile namespace?
B
Explanation:
An example of a profile namespace is email. A profile namespace is a type or source of identity value
that is used to identify a customer across different data sources. Email is a predefined profile
namespace that represents the email address of a customer. Other examples of profile namespaces
are Phone Number, ECID, or CRM ID
As a Real-Time Business Practitioner, it is required to create a custom merge policy in Adobe
Experience Platform for an upcoming use case to ensure profile attributes to take precedence from
latest datasets and are applied across all datasets automatically.
Which merge method should the practitioner select?
B
Explanation:
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. Reference:
https://experienceleague.adobe.com/docs/experience-platform/profile/merge-policies/methods.html?lang=en#timestamp-ordered
A client asks a Real-Time CDP Business Practitioner to use a schema in the Real-Time Customer
Profile. Which identity must the practitioner set?
A
Explanation:
According to the Adobe documentation, primary identity is an identity that must be set in a schema
in order to use it in Real-Time Customer Profile. Primary identity is an identity that uniquely
identifies each profile within a dataset and across datasets within a tenant. Primary identity can be
either predefined or custom, but it must have cardinality of one-to-one or many-to-one. Reference:
https://experienceleague.adobe.com/docs/experience-platform/profile/identity-service/schema.html?lang=en#primary-identity
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?
C
Explanation:
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
A Real-time CDP business practitioner wants to fetch merged profile data of a customer across
multiple data sources. Which two elements must match in the data sources for the profile to merge?
(Choose two.)
C, D
Explanation:
According to the Adobe documentation3
, identity value and namespace are two elements that must
match in the data sources for the profile to merge. Identity value is the unique identifier for a
customer, such as an email address or a phone number. Namespace is the type or source of the
identity value, such as Email or Phone Number.
When two data sources have the same identity value
and namespace,
they
can be
stitched together to form
a unified profile.
Reference: 3
https://experienceleague.adobe.com/docs/experience-platform/profile/identity-service/overview.html?lang=en#identity-service-overview
Which feature of Real-Time CDP can be utilized to view amalgamation of all the fields contained
within multiple schemas sharing the same class?
B
Explanation:
According to the Adobe documentation2
, a union schema is a feature of Real-Time CDP that can be
used to view the amalgamation of all the fields contained within multiple schemas sharing the same
class. A union schema is automatically generated by the platform and reflects the latest changes in
the underlying schemas.
A union schema can be used to create segments or explore profiles across
different
datasets.
Reference: 2
https://experienceleague.adobe.com/docs/experience-platform/profile/home.html?lang=en#union-schemas
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?
A
Explanation:
According to the Adobe documentation1
, TTL (time-to-live) is a setting that determines how long
data is retained in a dataset before it is deleted.
If the dataset had a 30-day TTL set, then any data
that was older than 30 days would be removed from the dataset, which could explain the decrease in
segment size over time. Reference: 1
https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#time-to-live
A Real-Time CDP Business Practitioner has composed a schema and a dataset has been created that
references that schem
a. Data is then ingested and stored in the Data Lake.
Which Platform service is the best place to analyze the data to support different use cases?
A
Explanation:
According to the Adobe documentation, Query Services is the best platform service to analyze the
data to support different use cases. Query Services enables users to query data stored in the Data
Lake using SQL or Spark SQL. Query Services also supports various data formats, such as Parquet,
CSV, JSON, or Avro. Query Services can be used for various use cases, such as data exploration, data
validation,
data
transformation,
data
visualization,
or
data
export.
Reference:
https://experienceleague.adobe.com/docs/experience-platform/query/home.html?lang=en#query-
service-overview
A publication who is an Adobe Real-Time CDP customer wants to reach users who filled out different
forms to subscribe to newsletters on their site. When they create one segment of form 1 the size is
5,000 profiles. When they create a second segment of people who filled out form 2 the size is 10,000
profiles. However, when they create a segment that includes form 1 OR form 2, the number of
subscribers is 12,000.
What explains why the segment size which includes both forms is 12,000?
C
Explanation:
The explanation for why the segment size which includes both forms is 12,000 is that 3,000 people
filled out both form 1 and form 2. This can be derived from the following formula:
Segment size of form 1 OR form 2 = Segment size of form 1 + Segment size of form 2 - Segment size
of form 1 AND form 2
Plugging in the given numbers, we get:
12,000 = 5,000 + 10,000 - Segment size of form 1 AND form 2
Solving for Segment size of form 1 AND form 2, we get:
Segment size of form 1 AND form 2 = 3,000
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.)
C, D
Explanation:
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.
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.)
BC
Explanation:
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.
Before using Adobe Real-Time CDR a telecommunications company was directly uploading a
segment of likely-to-churn customers from SalesForce Marketing Cloud into Facebook for its social
campaigns every 7 days. Now, the company can stream this data into RTCDP for segmentation and
share with the Facebook connector in near real-time.
Which two metrics can be tracked to calculate the value of RTCDP for this customer? (Choose two.)
B, C
Explanation:
Two metrics that can be tracked to calculate the value of RTCDP for this customer are time-to-market
and CPA. Time-to-market measures how quickly the customer can reach their target audience with
relevant offers and messages using RTCDP’s near real-time segmentation and activation capabilities.
CPA (cost per acquisition) measures how much it costs the customer to acquire a new customer or
retain an existing one using RTCDP’s data-driven optimization and personalization features.