
Exam AD0-E602 Realistic Dumps Verified Questions Free [Mar 27, 2026]
Valid AD0-E602 Dumps for Helping Passing Adobe Exam!
NEW QUESTION # 22
A financial services company with Adobe real-time CDP is able to combine data sources from their branches and online tools in real time to create one combined segment of recent account openers.
Which two strategic use cases should the financial services company explore when activating this new segment? (Choose two.)
- A. Target recent account openers with paid media campaigns advertising check order renewals
- B. Personalize their website to serve a message upselling account openers with an exclusive savings account offer
- C. Include segment as a seed for lookalike modelling high LTV
- D. Reach new segment with an email campaign reminding openers to set up recurring deposits
Answer: C,D
Explanation:
According to the Adobe documentation, lookalike modelling is a use-case that involves creating segments of high-value customers who share similar characteristics or behaviors and using them as seeds to find new prospects who are likely to have high lifetime value (LTV). This use-case could help the financial services company acquire more profitable customers by targeting them with relevant offers. Similarly, reaching the new segment with an email campaign reminding openers to set up recurring deposits is a use-case that involves creating segments of customers who have recently opened an account and encouraging them to take actions that increase their loyalty and retention. This use-case could help the financial services company increase customer satisfaction and revenue by offering them incentives and benefits for setting up recurring deposits. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/use-cases/lookalike-modeling.html?lang=en https://experienceleague.adobe.com/docs/experience-platform/segmentation/use-cases/customer-reengagement.html?lang=en
NEW QUESTION # 23
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?
- A. 3,000 people filled out form 1 or form 2
- B. 12,000 people out both form 1 and form 2
- C. 3,000 people filled out both form 1 and form 2
Answer: 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
NEW QUESTION # 24
A marketer sets up a new Amazon S3 source in real-time CDR A few days later, the marketer wants to check for any errors with ingestion.
In which two places should the marketer look for ingestion errors? (Choose two.)
- A. Dataset activity
- B. Profile details
- C. Source's dataflow activity
- D. Segments detail
Answer: A,C
Explanation:
According to the Adobe documentation1, dataset activity and source's dataflow activity are two places where ingestion errors can be viewed. Dataset activity shows the status of each batch that is ingested into a dataset, including any errors or warnings. Source's dataflow activity shows the status of each source connection run, including any errors or warnings. Reference: 1 https://experienceleague.adobe.com/docs/experience-platform/sources/ui/monitor.html?lang=en#viewing-ingestion-errors
NEW QUESTION # 25
An outdoor retailer and Adobe Real-Time CDP customer tries to create a segment that identifies females who browsed camping supplies on its website. The retailer first selected experience events of users who have visited campaign supply product pages in the past 30 days. The initial size of the segment was 450,000 profiles. However, when the retailer AND'd the gender attribute from its loyalty system, the size of the segment dropped to only 7;000 profiles.
What is the most likely explanation for this dramatic drop in segment size?
- A. The segment logic should include an OR statement instead of an AND.
- B. The majority of browsers on the website are not authenticated.
- C. The recency needs to be expanded to include 90 days of activity.
- D. Women are less interested in the brand's camping supplies than men.
Answer: B
Explanation:
The most likely explanation for the dramatic drop in segment size is that the majority of browsers on the website are not authenticated. This means that they do not have a loyalty account or a unique identifier that can be matched with the gender attribute from the loyalty system. Therefore, they are excluded from the segment that ANDs the gender attribute with the browsing behavior. To increase the segment size, the retailer could use other methods to identify or infer the gender of anonymous browsers, such as cookies, device IDs, or third-party data.
NEW QUESTION # 26
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. Identity Graph
- B. Union Schema
- C. Merge Policies
Answer: C
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
NEW QUESTION # 27
A Real-Time CDP Business Practitioner is working with a client and needs to process a request to access or delete through the privacy service.
What must the Real-Time CDP Business Practitioner include in the request?
- A. Last name and segment
- B. Identity and segment
- C. Segment and namespace
- D. Identity and namespace
Answer: D
Explanation:
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
NEW QUESTION # 28
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?
- A. Hashed emails, IDFA, GAID
- B. IDFA, GAID, MID
- C. Hashed emails, phone number, GAID
Answer: C
Explanation:
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
NEW QUESTION # 29
An entertainment company and Adobe Real-Time CDP customer wants to message subscribers on the anniversary of their subscription date. The goal is to send an upsell offer to increase their subscription benefits by creating a segment and activating to their email service provider.
Which segmentation event recency type should be used to evaluate new users each day into this segment once users reach 365 days since the first subscription?
- A. Rolling Range
- B. Custom date
- C. This year
- D. Within (+/-)
Answer: B
Explanation:
According to the Adobe documentation, custom date is a type of segmentation event recency that allows specifying a fixed date or a relative date based on a field in the dataset schema. This type of recency can be used to evaluate new users each day into a segment based on a specific date, such as the anniversary of their subscription date. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/segment-builder.html?lang=en#event-recency
NEW QUESTION # 30
An Adobe Real-Time CDP Business Practitioner needs to exclude certain opt-out events from all segments used in off-site targeting by a company data governance policy enforcer.
Which type of data usage label should be applied to this data?
- A. Identity
- B. Sensitive
- C. Contract
Answer: C
Explanation:
According to the Adobe documentation, contract is a type of data usage label that indicates data that has contractual limitations on how it can be used, such as opt-out events or third-party data. Contract data can be excluded from segments used in off-site targeting by applying data usage policies that enforce data governance rules. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#dule-overview
NEW QUESTION # 31
A Real-Time CDP Business Practitioner has to create a new segment of California residents. What field group tile should they drag onto the segment builder canvas?
- A. Events
- B. Attributes
- C. Audiences
Answer: B
Explanation:
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
NEW QUESTION # 32
A Real-Time CDP Business Practitioner is working with a client who requires automatic authentication Which type of ingestion should the practitioner choose?
- A. Streaming
- B. Real-Time
- C. Batch
Answer: C
Explanation:
According to the Adobe documentation3, batch ingestion is the type of ingestion that supports automatic authentication. Batch ingestion enables data to be ingested periodically from sources such as databases, cloud storage, or CRM systems. Batch ingestion also supports authentication methods such as OAuth 2.0, API key, or username and password. Reference: 3 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#batch-ingestion
NEW QUESTION # 33
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. Secondary identity
- B. Primary identity
- C. Identity class
Answer: B
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
NEW QUESTION # 34
Which feature of Real-Time CDP can be utilized to view amalgamation of all the fields contained within multiple schemas sharing the same class?
- A. XDM Schema
- B. Union schema
- C. Event Schema
Answer: 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
NEW QUESTION # 35
A Real-time CDP Business Practitioner must enable a scheduled evaluation of an organization's segments How should the segments be toggled on?
- A. Create a scheduled segment
- B. Add all segments to schedule
- C. Add all segments to a destination
Answer: B
Explanation:
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
NEW QUESTION # 36
A Data Steward was recently hired to ensure data governance for a large insurance company. Which two roles will be part of their main job assignment? (Choose two.)
- A. Creating batch integrations and data schemas.
- B. Reviewing data, datasets, and data samples to apply and manage metadata usage labeling.
- C. Creating data policies and applying them to datasets and fields.
- D. Use data to design new customer experiences.
Answer: B,C
Explanation:
According to the Adobe documentation, a Data Steward is a role that is responsible for ensuring data quality, compliance, and governance across the organization. Some of the main tasks of a Data Steward include creating data policies and applying them to datasets and fields, reviewing data, datasets, and data samples to apply and manage metadata usage labeling, monitoring data quality issues and resolving them, etc. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/home.html?lang=en#roles
NEW QUESTION # 37
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.)
- A. CPA
- B. AOV
- C. Time-to-market
- D. CPM
Answer: A,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.
NEW QUESTION # 38
A Real-Time CDP Business Practitioner wants to create a customer segment to enable same page and next page personalization use cases.
Which type of evaluating segment should the practitioner use?
- A. Streaming segmentation
- B. Edge segmentation
- C. Batch segmentation
Answer: B
Explanation:
According to the Adobe documentation, edge segmentation is a type of streaming segmentation that evaluates segments at the edge of Adobe Experience Platform, close to where data collection occurs. This allows for faster segment evaluation and activation, enabling use cases such as same page and next page personalization. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/edge.html?lang=en
NEW QUESTION # 39
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