2023 AD0-E600 Question Bank Free PDF Download Recently Updated Questions [Q27-Q42]

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2023 AD0-E600 Question Bank: Free PDF Download Recently Updated Questions

AD0-E600 Certification Exam Dumps with 50 Practice Test Questions

Adobe AD0-E600 Exam Syllabus Topics:

Topic	Details
Topic 1	Dataset management and data science workspaces and profile enrichment Data Ingestion
Topic 2	Destinations and segment activation Data Modeling
Topic 3	Ingestion types and connectors functionality
Topic 4	Identity graphs and profile services Activation
Topic 5	Unifying Profiles Schemas and Classes

Q27. A marketer notices that the average number of IDs linked per profile has increased significantly over the past couple weeks. In the Identity graph viewer, the marketer sees that different emails that should belong to different profiles are stitched together.
What should the marketer do next to identify the root cause?

Use the Real-time Profile Ul to retrieve the Identity Map linked to the profile

Use the Identity API to get the details of the Identity Namespace definition

Use the Identity API to list the Identity Mappings for the email

Use Identity graph viewer to retrieve the list of data sources

Q28. A data architect wants to create a new XDM field that represents a prize promotion called listOfPrizes. The field represents a list of prizes and contains three sub-fields: prizeld (string). monetaryValue (integer), and prize (Object).
This new field needs to be reusable multiple times within the same class, The sub-fields are created separately.
How should the data architect create the listOfPrizes field?

Create and save a new object field, then create a nested array object under the object field.

Create and save a new custom field group, then add an object array field to that field group.

Create and save a new object array field, then in the right rail select Convert to new data type.

Create and save a new string array field, then add a nested object field under the string array field.

Q29. 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’)

Q30. A data engineer must set up a Streaming Connection with new authentication via the AEP Ul to stream non XDM data into an existing Dataset. How should the data engineer proceed?

Sources > Streaming > HTTP API > New Account > Add Data > Select Data > Select Dataset > Finish

Sources > Streaming > HTTP API > Add Data > New Account > Select Data > Map Fields to XDM > New Dataset > Finish

Destination > Streaming > HTTP API > New Account > Select Data > Map Fields to XDM Select Dataset > Finish

Sources > Streaming > HTTP API > Add Data > New Account > Select Data > Map Fields to XDM > Select Dataset > Finish

Q31. A data engineer it running some tests And tending in event data
How should the data engineer validate that the event is properly attributed to the correct profiler

Use the Dataset Preview to look at a few rows and see if data is in profile.

Use Query service to query events

Use the Identity Graph Viewer to view how the identities are mapped.

Use profile lookup to view the events associated to a given profile.

Q32. Time-series data has been ingested and linked with a Real-time Customer Profile.
A data engineer wants to look up only the most recent time-series event associated with the Luma ID “100”.
Which API call will return the desired event object?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

Q33. When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?

Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.

Leveraging synchronous validation, data engineers can review error messages for records that fail validation.

As long as the data matches the pre-defined SXM schema, records in the payload pass

All data is ingested and query services reporting identify any records that do not pass custom validation rules.

Q34. 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

Q35. A data engineer needs to bong m data via cloud storage sources into the Platform Which two data formats can the data engineer ingest? (Choose two.)

TSV

AVRO

XMKL

JSON

CSV

Q36. Given thefollowing:

How should a data engineer ingest this data?

AEP Ul > Locate Dataset > Drag and drop the JSON files

Q37. 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.)

To.bigint

To.object

To .integer

To.float

To_decimal

Q38. After creating the Entity Relationship (Diagram (ERD) of the data sources that will be connected into an AEP implementation for a utility company, the service details (including information such as name, cost type, and category) appear multiple times across different entities (for example, in the transactional events and m the customer profile details).
When designing the XDM data model for that ERD, the data architect and the business stakeholders validate that the service details information must be included at both levels, record, and time series. The service details will be used multiple times within the same structure.
How should the service details be defined in the AEP data model to make it consistent and re-usable?

Create a XDM Schema

Create a Field Group

Create a XDM Class

Create a Data Type

Q39. 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

Q40. 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?

Createone 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 Usethe Member ID as the primary identity of the schema A Use the Session ID as a relationship fieldon schema A Use the Session ID as the primary identity of theschema 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

Q41. An AEP expert has been tasked with a last-minute request to send a campaign. The AEP expert needs to upload a CSV file with the customer list that will be affected through the campaign, create the segments based on a briefing, and share those segments with Adobe Campaign and Facebook Custom Audiences. The brief also includes the segment volumes.
Before sharing the segments, the AEP expert needs to make sure that the segment volumes match the briefing.
What should the AEP do right after creating the segments to get the volumes?

Run a Segment Job through the API for the segments created

Use the qualified profiles value that appears in the Segment builder

Use the Profiles over time graph that appears on the segment details

Create an AEP dashboard with an Audience Size widget and select the corresponding segments

Q42. 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

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Adobe AD0-E600 Exam Syllabus Topics:

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