Prepare AD0-E600 Question Answers – AD0-E600 Exam Dumps [Q15-Q33]

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Prepare AD0-E600 Question Answers – AD0-E600 Exam Dumps

Real Adobe AD0-E600 Exam Questions [Updated 2022]

QUESTION 15
In an AEP implementation, an SFTP source setup performs daily imports. A marketer notices that the segment volumes linked to that data source have dropped in the last days. After a root cause analysis, it is identified that the dataflow that manages the SFTP import has been disabled by mistake.
The missing files must be ingested in AEP, and the daily import must be re-started.
How should these tasks be performed?

 
 
 
 

QUESTION 16
When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?

 
 
 
 

QUESTION 17
A data engineer ingests 1000 records that contain various different identities. Each record has at least the primary identity.
The data engineer verifies that the records have been ingested into Data Lake and profile. When clicking on one of the identity namespaces in the identity tab the data engineer sees 100 records under “Records skipped”.
What is the possible cause of the skipped records?

 
 
 
 

QUESTION 18
A data architect wants to create a new XDM field that represents a prize promotion called listOfPrizes. The field represents a list of prizes and contains three sub-fields: prizeld (string). monetaryValue (integer), and prize (Object).
This new field needs to be reusable multiple times within the same class, The sub-fields are created separately.
How should the data architect create the listOfPrizes field?

 
 
 
 

QUESTION 19
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?

 
 
 
 

QUESTION 20
Given thefollowing:

How should a data engineer ingest this data?

 
 
 

QUESTION 21
A marketer wants to send profile and attributes information to an RT-CDP Destination.
Which destination option should the marketer choose to send profile and attributes information?

 
 
 
 

QUESTION 22
Which is a type of governance label?

 
 
 
 

QUESTION 23
What it the appropriate identity namespacs for an email mat n coming in hashed’

 
 
 
 

QUESTION 24
What is model scoring in the Data Science Workspace?

 
 
 
 

QUESTION 25
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?

 
 
 
 

QUESTION 26
A data engineer exports segmented Real-time Customer Profile data to a new dataset called “Profile Export”.
The data engineer needs to directly download the data from the Profile Export dataset using the Data Access API.
Which file format is supported for this use case?

 
 
 
 

QUESTION 27
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?

 
 
 
 

QUESTION 28
During discovery, a business user explains that customer data from field-sales reps is stored in a third-party CRM system.
Based on the three methods of ingesting data into Adobe Experience Platform, which method should be used to set up a schedule-based ingestion run?

 
 
 
 

QUESTION 29
A marketer recently set up an Amazon S3 cloud storage destination. The last successful flow for the destination exported 12 million records. in the Amazon S3 bucket, how will the export be presented to the marketer?

 
 
 
 

QUESTION 30
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.)

 
 
 

QUESTION 31
An organization it migrating an m-house built customer database to Adobe Experience Platform. As part of the migration the services that are connected into the customer database must continue to work. One of those services is a Customer Care platform that is pulling the customer and product details using a REST API call.
In AEP. the product details will be modeled using a custom XDM Class. The primary identity, product ID.
will be linked to a Namespace with the type “Non People Identifier”. That field will be used to create a relationship with the main Profile XDM schema.
Which option should be used to allow the Customer Care to retrieve product details through the product ID?

 
 
 
 

QUESTION 32
After creating the Entity Relationship (Diagram (ERD) of the data sources that will be connected into an AEP implementation for a utility company, the service details (including information such as name, cost type, and category) appear multiple times across different entities (for example, in the transactional events and m the customer profile details).
When designing the XDM data model for that ERD, the data architect and the business stakeholders validate that the service details information must be included at both levels, record, and time series. The service details will be used multiple times within the same structure.
How should the service details be defined in the AEP data model to make it consistent and re-usable?

 
 
 
 

QUESTION 33
A data engineer needs to bong m data via cloud storage sources into the Platform Which two data formats can the data engineer ingest? (Choose two.)

 
 
 
 
 

Adobe AD0-E600 Exam Syllabus Topics:

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

 

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