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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.)
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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?
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What is the difference between a data science training run and a data science scoring run?
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?
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Question 26 - AD0-E600 discussion

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What is the difference between a data science training run and a data science scoring run?

A.
A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A training run requires that a scoring run has occurred.
Answers
A.
A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A training run requires that a scoring run has occurred.
B.
A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A scoring run requires that a training run has occurred.
Answers
B.
A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A scoring run requires that a training run has occurred.
C.
A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A scoring run requires that a training run has occurred.
Answers
C.
A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A scoring run requires that a training run has occurred.
D.
A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.
Answers
D.
A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.
Suggested answer: D
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asked 02/10/2024
Mohamed Mohamed
48 questions
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