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[Q12-Q26] AD0-E600 Certification - The Ultimate Guide [Updated 2023]




AD0-E600 Certification - The Ultimate Guide [Updated 2023]

AD0-E600 Practice Exam and Study Guides - Verified By DumpsMaterials

NO.12 What it the appropriate identity namespacs for an email mat n coming in hashed’

 
 
 
 

NO.13 A national workout studio chain deploys a new booking system and can now track when a customer puns to 90 into a training session. The studio chain wants to use that information to power their email campaigns. The event data that is collected when a customer books a session does not include information like the Sport category or the level of physical condition the customers should have. That information is stored in a different dataset. The studio chain is using AEP and will have access to the following databases; BOOK A TRAINING SESSION EVENT DATABASE: Time stamp Session ID Member ID TRAINING SESSION METADATA DATABASE:
Session ID
Sport category
Required physical condition
The data architects needs to configure the AEP XDM schemas to be able to build a relationship between the two databases so that the Sport category and the Required physical condition can be used in the AEP segment builder.
How should the data architect configure the AEP XDM to meet these requirements?

 
 
 
 

NO.14 A data engineer creates a custom identity namespace within AEP. However, this custom Identity namespace is the wrong Identity type. What can the data engineer do to update the identity namespace?

 
 
 
 

NO.15 A marketer notices that the average number of IDs linked per profile has increased significantly over the past couple weeks. In the Identity graph viewer, the marketer sees that different emails that should belong to different profiles are stitched together.
What should the marketer do next to identify the root cause?

 
 
 
 

NO.16 A data engineer has a file they must ingest with all string fields. The engineer must keep precision of the data when converting string fields to numeric fields. Which two functions could the the data engineer use when making this conversion? (Choose two.)

 
 
 
 
 

NO.17 Given the following segment definition:
personalEmail.3ddress.isNotNull()and homeAddress.city.equalsrChicago”, (rue) and homeAddress.statePfovince.equalsCIL”. false) There is a profile that meets the criteria for the segment. Given the following segment job runs:
T1: segment job run (no attribute changes)
T2: segment job run (no attribute changes)
T3: segment job run (homeAddress.crty attribute changed to Oakbrook)
T4: segment job run (personalEmail.address value changes)
What is the segement membership status at each time period?

 
 
 
 

NO.18 An AEP expert has been tasked with a last-minute request to send a campaign. The AEP expert needs to upload a CSV file with the customer list that will be affected through the campaign, create the segments based on a briefing, and share those segments with Adobe Campaign and Facebook Custom Audiences. The brief also includes the segment volumes.
Before sharing the segments, the AEP expert needs to make sure that the segment volumes match the briefing.
What should the AEP do right after creating the segments to get the volumes?

 
 
 
 

NO.19 A data engineer it running some tests And tending in event data
How should the data engineer validate that the event is properly attributed to the correct profiler

 
 
 
 

NO.20 There are two existing entities in the Real-time Customer Profile store: one profile record and one event.

Both the event schema and profile schema have “email” as the primary identity. The _id is used to identify unique events.
Later, a data engineer ingests one additional profile fragment and another event:
Profile: (“email”: “[email protected]*. “favBrand’: “Adobe”)
Event: {”_id”: ‘5000″. “email”: “[email protected]”. “purchase”: “Photoshop 2021”) What will the profile attributes and event look like when doing a profile [email protected]?
A)

B)

C)

D)

 
 
 
 

NO.21 A marketer has been tasked with setting up an export of a certain segment of their profile data to their cloud storage. Which two types of file export options are available to the marketer? (Choose two.)

 
 
 

NO.22 A QA engineer needs to determine if the data ingested through three different data sources into three datasets enabled for profile and based in the same XDM Profile schema is processed as expected.

To evaluate the final result, the QA engineer uses the Merge Profile configuration shown;

The primary identity used is ‘.orgtenant.profilelDs.email”.
What data should appear m the user profile?
A)

B)

C)

D)

 
 
 
 

NO.23 A marketer wants 10 create a segment that qualities profiles from all datasets that are enabled for profile. The use case for the segment is for activation to advertising destinations.
Based on the options for ID stitching and merge method respectively, which type of merge policy is appropriate for this use case?

 
 
 
 

NO.24 You want to load purchase order data into The Adobe Experience Platform You know that every event loaded into the Adobe Experience Platform requires a unique ID (_jd). Given the sample record below:
Which field or fields can be used for this ID?

 
 
 
 

NO.25 A data engineer is ingesting website data via CSV that represents a future hotel reservation.

Each field is mapped to the corresponding target field below:
“fullName”: “string”, ‘crmld”: “string”, “email”: “string”, “swyDate”: “dateTime”, “_id”: “string” Upon mapping the data, the mapping step fails with an error.
What is the possible cause of this error?

 
 
 
 

NO.26 A marketer wants to create a segment based on profiles that have these 7 attributes: Loyaltyld. loyalty Level.
Location. Age. MantalStatus. 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: MantalStatus and Location How can the segment builder Ul be used to buildthis segment?

 
 
 
 


Adobe AD0-E600 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Ingestion types and connectors functionality
Topic 2
  • Unifying Profiles
  • Schemas and Classes
Topic 3
  • Destinations and segment activation
  • Data Modeling
Topic 4
  • Identity graphs and profile services
  • Activation
Topic 5
  • Dataset management and data science workspaces and profile enrichment
  • Data Ingestion

 

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