2024 The Most Effective AD0-E600 with 52 Questions Answers [Q19-Q36]

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2024 The Most Effective AD0-E600 with 52 Questions Answers

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Q19. A marketer wants 10 create a segment that qualities profiles from all datasets that are enabled for profile. The use case for the segment is for activation to advertising destinations.
Based on the options for ID stitching and merge method respectively, which type of merge policy is appropriate for this use case?

ID stitching: None
Merge method: Dataset precedence

ID stitching: None
Merge method: Timestamp ordered

ID stitching: Private graph
Merge method: Dataset precedence

ID stitching: Private graph
Merge method: Timestamp ordered

Q20. 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.)

Schema A and Schema 6 must each be enabled for Real-time Customer Profile.

Schema A and Schema B must each have a primary identity.

Schema A must belong to the same schema class as Schema B.

Schema A and Schema B must each have datasets associated with them.

Both schemas should have the same fields marked as identities.

Q21. 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?

Batch API

Streaming API

Sources

File automation

Q22. 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 [email protected]?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

Q23. 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.)

Schema A and Schema 6 must each be enabled for Real-time Customer Profile.

Schema A and Schema B must each have datasets associated with them.

Schema A must belong to the same schema class as Schema B.

Schema A and Schema B must each have a primary identity.

Both schemas should have the same fields marked as identities.

Q24. A daily scheduled segmentation job has already run and completed. However, the data engineer recently created a new segment.
Segment Name: Profile Qualification
Segment ID: Safe34ae-Sc98-4Sl3-8a1d-67ccaaS4bc87
The data engineer wants to evaluate this segment via API.
How should the data engineer proceed?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

Q25. A data engineer is using Data Prep to format data for ingestion. The data engineer needs to load Date/Time as Date values for a field called CustomerCreateDate. The use of this field does not require a time component and as is String based.
The JSON value in this example is ‘.platosaprod.customerCreateDateVZOOS-11 -04 15:44″.
Which Data Prep functions and order should the data engineer use to format the date without the time component?

format(p’atosaprod.custometCreateDate.dd-MM-yyyy’)

format(date(_platosaprod.customerCreateDate),’dd-MM-yyyy’)

dformaUdateLP’atosaprod.customerCreateDateJ.’dd-MM-yyyy’)

date(_platosaprod.customerCreateDate.’dd-MM-yyyy’)

Q26. A marketer needs to quickly validate that data ingested into a dataset processed to Profile successfully. Using the AEPinwhich two ways can the marketer perform this task? (Choose two.)

Sources > Data Flow

Query service

Dataset > Activity

Monitoring > Batch

Identities > Browse

Q27. A daily scheduled segmentation job has already run and completed. However, the data engineer recently created a new segment.
Segment Name: Profile Qualification
Segment ID: Safe34ae-Sc98-4Sl3-8a1d-67ccaaS4bc87
The data engineer wants to evaluate this segment via API.
How should the data engineer proceed?

Q28. 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 buildthis segment?

Drag and drop the LoyaltyLevel and Age attributes Into an “Include any of” container Then, drag and drop the MantalStatus and Location attributes into an “Exclude all of container

Drag and drop the LoyaltyLevel and Age attributes into an “Include all or container Then, drag and drop the MantalStatus and Location attributes into an “Exclude all of container

Drag and drop the LoyaltyLevel and Age attributes into an “Include anyof” container Then, drag and drop the MantalStatus and Location attributes into an “Exclude all of container

Drag and drop theLoyaltyLevel and Age attributes into an “Include all of” container Then, drag and drop the MantalStatus and Location attributes into an “Exclude any of container

Q29. 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?

Identity records failed XDM validation upon ingestion.

Identity namespace is not compatible with identity graph.

Dataset and schema are not enabled for identity service.

Identity service ignores records with only one identity.

Q30. A national workout studio chain deploys a new booking system and can now track when a customer puns to 90 into a training session. The studio chain wants to use that information to power their email campaigns. The event data that is collected when a customer books a session does not include information like the Sport category or the level of physical condition the customers should have. That information is stored in a different dataset. The studio chain is using AEP and will have access to the following databases; BOOK A TRAINING SESSION EVENT DATABASE: Time stamp Session ID Member ID TRAINING SESSION METADATA DATABASE:
Session ID
Sport category
Required physical condition
The data architects needs to configure the AEP XDM schemas to be able to build a relationship between the two databases so that the Sport category and the Required physical condition can be used in the AEP segment builder.
How should the data architect configure the AEP XDM to meet these requirements?

Create one schema (schema A) using the Experience Event Schema as the XDM class for the Book a Training Session Event Create out schema (schema B> using individual Profile as the XDM class for the Training Session Metadata Use the Member ID as the primary identity of the schema A Use the Session ID as a relationship field on schema A Use the Session ID as the primary identity of the schema B Enable schema A for profile

Create one schema (schema A) using the Experience Event Schema as the XDM class ‘or the Book a Training Session Event Create one schema (schema B) using a custom XDM class for the Training Session Metadata Use the Member ID as the primary identity of the schema A Use the Session ID as a relationship field on schema A Use the Session ID as the primary identity of the schema B Enable both schemas for profile Create one schema (schema A) using the Experience Event Schema as the XDM class for the Book a Training Session Event

Create one schema (schema B) using a custom XDM class for the Training Session Metadata Use the Member ID as the primary identity of the schema A Use the Session ID as the secondary identity of the schema A Use the Session ID as the primary identity of the schema B Enable both schemas for profile

Create one schema using Experience Event as the XDM class
Create Field Groups to include all the attributes from both the Book a Training Session Event and the Training Session Metadata Use the Member ID as the primary identity of that schema Use the Session ID as a secondary identity of that schema Configure one dataflow per database but use the same dataset to store the info

Q31. A data engineer wants to connect a new data source into AEP using an Amazon S3 Bucket. The S3 Bucket currently will be added with the daily deltas.
The historical data and the recurrent deltas must be imported.
In which way can this task be performed with minimal effort?

Create a one-time dataflow for the historical data and one scheduled dataflow for the deltas

Create one scheduled dataflow and enable partial ingestion

Create one scheduled dataflow and enable the backfill

Create one scheduled dataflow for the deltas and import the historical data through a data ingestion workflow

Q32. Given the following segment definition:
personalEmail.3ddress.isNotNull()and homeAddress.city.equalsrChicago”, (rue) and homeAddress.statePfovince.equalsCIL”. false) There is a profile that meets the criteria for the segment. Given the following segment job runs:
T1: segment job run (no attribute changes)
T2: segment job run (no attribute changes)
T3: segment job run (homeAddress.crty attribute changed to Oakbrook)
T4: segment job run (personalEmail.address value changes)
What is the segement membership status at each time period?

Exited. Existing. Exited. Realized

Realized. Existing. Exited. Exited

Existing. Realized. Exited. Exited

Realized Exited. Existing. Exited

Q33. A data engineer is ingesting the transactional information from an ecommerce platform through a daily feed.
In AEP, one Experience Event-based schema will collect the purchase events from this feed.
The eventType field of the schema must be populated with “commerce.purchases’ if in a CSV record in which the column ‘pure ha sesf arid ate’ and ‘purchaseenddate” happen on the same day, If the “purchasee/irfdate” is set to a later date, the eventType should be *commerce._orgtenant.cancer.
Both dates follow the same format “yyyy-MM-dd’T’HH:mm:ss.SSS’Z~. and the “purchaseenddate’ is always populated.
How should the data engineer create a Calculated Field that can be used to populate the eventType according to the required logic?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

Q34. A data engineer creates a custom identity namespace within AEP. However, this custom Identity namespace is the wrong Identity type. What can the data engineer do to update the identity namespace?

Create a new custom Identity Namespace with the correct Identity type.

Using the Identity Namespace APIs, update the custom Identity type.

Edit the Identity Namespace type within the AEP User-Interface under Identities.

Delete the custom Identity Namespace from the AEP User-Interface under Identities.

Q35. Given the following segment definition:
personalEmail.3ddress.isNotNull()and homeAddress.city.equalsrChicago”, (rue) and homeAddress.statePfovince.equalsCIL”. false) There is a profile that meets the criteria for the segment. Given the following segment job runs:
T1: segment job run (no attribute changes)
T2: segment job run (no attribute changes)
T3: segment job run (homeAddress.crty attribute changed to Oakbrook)
T4: segment job run (personalEmail.address value changes)
What is the segement membership status at each time period?

Exited. Existing. Exited. Realized

Realized. Existing. Exited. Exited

Existing. Realized. Exited. Exited

Realized Exited. Existing. Exited

Q36. 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?

ordetlD. orderDate, storelD

ordedD. lastOrderSlatusUpdate

orderlD

orderlD. orderDate