[Nov 30, 2022] AD0-E600 Test Prep Training Practice Exam Questions Practice Tests [Q29-Q48]

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[Nov 30, 2022] AD0-E600 Test Prep Training Practice Exam Questions Practice Tests

Exam Questions Answers Braindumps AD0-E600 Exam Dumps PDF Questions

Adobe AD0-E600 Exam Syllabus Topics:

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

QUESTION 29
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

QUESTION 30
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

QUESTION 31
A QA engineer needs to determine if the data ingested through three different data sources into three datasets enabled for profile and based in the same XDM Profile schema is processed as expected.

To evaluate the final result, the QA engineer uses the Merge Profile configuration shown;

The primary identity used is ‘.orgtenant.profilelDs.email”.
What data should appear m the user profile?
A)

B)

C)

D)

Option A

Option B

Option C

Option D

QUESTION 32
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

QUESTION 33
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

QUESTION 34
A data engineer is ingesting time-series data in CSV format from a CRM system. The source data contains a
“subscription” field that contains what level of subscription the customer has purchased.
The data is ingested into a target field called “subscriptionLevel”. which is an enum field that accepts the following values: “Lite*. “Standard”, and “Pro”.
The data engineer knows that the CSV files contain some rows that do not conform to the above enum. Instead of rejecting those rows, the data engineer wants to transform non-conforming fields to “Standard”.
Which mapping function(s) will accomplish this?

iif(subscription.equals(“Lite”) &&subscriptiorvequ3ls(“Standard”) && sub$ctiption.eqoals(“Pro”).
subscription. el$e(“5tandard”))

iif(subscription.noiEquals(*Lite” || “Standard” || “Pro”), subscription, subscription, replacestrf
“Standard”))

iif(subscription.notEquals(“Lite”) || subscription.notEqualsl “Standard”) || subscription.notEquatsCPro’).
‘Standard’, subscription)

iif(subscription.equals(“Lite”) || subscription.equals(“Standard”) || subscriptionequalsfPro”).
subscription. “Standard”)

QUESTION 35
A data engineer exports segmented Real-time Customer Profile data to a new dataset called “Profile Export”.
The data engineer needs to directly download the data from the Profile Export dataset using the Data Access API.
Which file format is supported for this use case?

JSON

CSV

Parquet

Blob

QUESTION 36
A data engineer is bringing in audience definitions into Adobe Experience Platform from external sources.
Which standard Experience Data Model (XDM) class should the data engineer use?

Segment Definition

XDM ExperienceEvent

XDM Individual Profile

Profile Definition

QUESTION 37
A data engineer is ingesting website data via CSV that represents a future hotel reservation.

Each field is mapped to the corresponding target field below:
“fullName”: “string”, ‘crmld”: “string”, “email”: “string”, “swyDate”: “dateTime”, “_id”: “string” Upon mapping the data, the mapping step fails with an error.
What is the possible cause of this error?

_id field is passed in manually instead of autogenerated.

CRM ID is an integer when the target field is a string.

The source datelime format is incompatible with XDM.

The default timestamp field is required upon ingestion.

QUESTION 38
What is the difference between a data science training run and a data science scoring run?

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 hasoccurred.

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 hasoccurred.

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 hasoccurred.

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 hasoccurred.

QUESTION 39
What is model scoring in the Data Science Workspace?

Building and evaluating a model

Engineering features for a model

Building a recipe

Applying a model to a data set

QUESTION 40
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

QUESTION 41
A B2B business (the client) is migrating its data warehouse (DWH) solution to AEP. Currently, they are using what they call Recipient ID as the main identifier to recognize client employees. That Recipient 10 is generated inside the DWH. That solution will not be available once AEP is live, so the solution architect needs to consider potential alternatives.
After working with the client lead and a data engineer, the solution architect identifies that a combination of Company ID and Hashed Employee Email would be a good replacement for the Recipient ID to make it more unique.
How can the solution architect generate that identity within AEP?

The Company ID (non-people identifier) must be set up as a primary ID. The Hashed Employee Email as a secondary ID and AEP will automatically reconcile them.

The Company ID and Hashed Employee Email must be combined in AEP data prep and passed as a unique primary identity.

The Company ID and Hashed Employee Email must be combined outside of AEP and passed as a unique primary identity.

The Hashed Employee Email must be set up as a primary ID. The Company ID (non-people identifier) as a secondary ID and AEP will automatically reconcile them.

QUESTION 42
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.

QUESTION 43
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

QUESTION 44
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.

QUESTION 45
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

QUESTION 46
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.

QUESTION 47
A marketer recently set up an Amazon S3 cloud storage destination. The last successful flow for the destination exported 12 million records. in the Amazon S3 bucket, how will the export be presented to the marketer?

3 CSV files in the format of: filename.csv {containing 5 million records) filename_2.c$v (containing 5 million records) ftlename_3.csv (containing 2 million records)

1 CSV file in the format of: filename.csv (containing 12 million records)

2 CSV files in the format of filename.csv (containing 6 million records) filename_2.csv (containing 6 million records)

3 JSON files in the format of: filenamejson (containing 5 million records) filename_2json (containing 5 million records) filename.3json (containing 2 million records)

QUESTION 48
A data engineer does not have access to the AEP Ul and must create a new Dataset and upload CSV data.
Which API requests will allow the data engineer to upload this data?
A)

B)

C)