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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.)
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?
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?
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 build this segment?
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?
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?
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 lookup [email protected]? A) B) C) D)
What it the appropriate identity namespacs for an email mat n coming in hashed'
When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?

Question 12 - AD0-E600 discussion

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

A.
Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.
Answers
A.
Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.
B.
Leveraging synchronous validation, data engineers can review error messages for records that fail validation.
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B.
Leveraging synchronous validation, data engineers can review error messages for records that fail validation.
C.
As long as the data matches the pre-defined SXM schema, records in the payload pass
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C.
As long as the data matches the pre-defined SXM schema, records in the payload pass
D.
All data is ingested and query services reporting identify any records that do not pass custom validation rules.
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D.
All data is ingested and query services reporting identify any records that do not pass custom validation rules.
Suggested answer: C
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asked 02/10/2024
ivaylo Skechleiev
36 questions
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