Prepare for the Adobe Experience Platform Technical Foundations exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
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What it the appropriate identity namespacs for an email mat n coming in hashed'
A national workout studio chain is introducing a new Family discount program. They have already deployed AEP with the following data model:
* Members Schema (Individual Profile Based):
* Primary ID: Member ID
* Secondary IDs: Email Hash. Phone Hash
* Training Sessions Management (Experience Event):
* Primary ID: Member ID
* Secondary IDs: ECID
* Subscription Management (Experience Event):
* Primary ID: Email Hash
* Secondary IDs: ECID
The workout studio wants to be able to use all of this information together with the family details to segment For example, they want to target families where one family member trams daily or one family member has the yearly subscription plan.
To start collecting Family information, the workout studio creates a form where the members can create a Family account and associate the different members to it The form will collect a list of Member IDs and generate a Family ID. A data architect will design a new schema to store the Family information.
Which identities should be used in the schema(s) to collect this form information?
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?
The possible cause of the skipped records is that the identity records failed XDM validation upon ingestion.
https://experienceleague.adobe.com/docs/experience-platform/landing/troubleshooting.html?lang=en
What is model scoring in the Data Science Workspace?
Model scoring in the Data Science Workspace in Adobe Experience Platform is the process of applying a model to a data set. Scoring in Adobe Experience Platform Data Science Workspace can be achieved by feeding input data into an existing trained model. Scoring results are then stored and viewable in a specified output dataset as a new batch.
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.)
The two functions that a data engineer could use to convert string fields to numeric fields while keeping precision of the data in Adobe Experience Platform are To.float and To_decimal.
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