AD0-E600 무료 덤프문제 온라인 액세스

A data architect creates two XDM schemas: Schema A and Schema B.
What are the two requirements for defining a schema relationship so that Schema A references Schema B for use in segmentation? (Choose two.)

• A.Both schemas should have the same fields marked as identities.
• B.Schema A and Schema 6 must each be enabled for Real-time Customer Profile.
• C.Schema A and Schema B must each have datasets associated with them.
• D.Schema A must belong to the same schema class as Schema B.
• E.Schema A and Schema B must each have a primary identity.

Given the following:

How should a data engineer ingest this data?

• A.
• B.
• C.AEP Ul > Locate Dataset » Drag and drop the JSON files

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?

• A.ordetlD. orderDate, storelD
• B.ordedD. lastOrderSlatusUpdate
• C.orderlD. orderDate
• D.orderlD

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?

• A._id field is passed in manually instead of autogenerated.
• B.CRM ID is an integer when the target field is a string.
• C.The default timestamp field is required upon ingestion.
• D.The source datelime format is incompatible with XDM.

A data engineer is ingesting time-series data in CSV format from a CRM system. The source data contains a
"subscription" field that contains what level of subscription the customer has purchased.
The data is ingested into a target field called "subscriptionLevel". which is an enum field that accepts the following values: "Lite*. "Standard", and "Pro''.
The data engineer knows that the CSV files contain some rows that do not conform to the above enum. Instead of rejecting those rows, the data engineer wants to transform non-conforming fields to "Standard".
Which mapping function(s) will accomplish this?

• A.iif(subscription.notEquals("Lite") || subscription.notEqualsl "Standard") || subscription.notEquatsCPro').
  'Standard', subscription)
• B.iif(subscription.equals("Lite") &&subscriptiorvequ3ls("Standard") && sub$ctiption.eqoals("Pro").
  subscription. el$e("5tandard"))
• C.iif(subscription.noiEquals(*Lite" || "Standard" || "Pro"), subscription, subscription, replacestrf
  "Standard"))
• D.iif(subscription.equals("Lite") || subscription.equals("Standard") || subscriptionequalsfPro").
  subscription. "Standard")