2023 Updated Verified AD0-E600 Downloadable Printable Exam Dumps [Q21-Q39]

4/5 - (1 vote)

2023 Updated Verified AD0-E600 Downloadable Printable Exam Dumps

The Ultimate Adobe AD0-E600 Dumps PDF Review

Adobe AD0-E600 certification exam is designed for professionals who want to build a career in the field of Adobe Experience Platform. Adobe is a leading software company that offers various digital solutions, and the Adobe Experience Platform is one of its most popular products. Adobe Experience Platform Technical Foundations certification exam is an excellent way to demonstrate your expertise in Adobe Experience Platform.

QUESTION 21
Given thefollowing:

How should a data engineer ingest this data?

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

QUESTION 22
What is model scoring in the Data Science Workspace?

Building and evaluating a model

Building a recipe

Engineering features for a model

Applying a model to a data set

QUESTION 23
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?

QUESTION 24
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

QUESTION 25
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 has occurred.

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.

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.

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.

QUESTION 26
Which is a type of governance label?

Geographic Label

Currency Label

Contract Label

Event Label

QUESTION 27
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.)

full

Incremental

Partial

QUESTION 28
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 29
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 30
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 31
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?

QUESTION 32
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 customIdentityNamespace from the AEP User-Interface under Identities.

QUESTION 33
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 34
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

QUESTION 35
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

QUESTION 36
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?

Trigger an API event into Journey Optimizer and run a Journey to retrieve the product data

Use a SQL client in the Customer Care platform and connected into the AEP Query Service

Use a Runtime function in Adobe I/O that retrieves the product data using the Data Access API

Enable the products dataset for profile and use the Real-time Profile API

QUESTION 37
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 38
Which choices explain the data lineage that DULE enforces?

Schema. Dataset Profile. Segment

Dataset. Merge Policy. Segment Destination

XDM. Source, Profile. Export

Source. Merge Policy. Segment. Destination

QUESTION 39
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

Adobe AD0-E600 exam is designed to test the technical knowledge of candidates in implementing and configuring the Adobe Experience Platform. Adobe Experience Platform Technical Foundations certification is intended for IT professionals, developers, and architects who want to validate their skills in using Adobe Experience Platform to build and manage data-driven solutions. The AD0-E600 exam tests the candidate’s ability to work with Adobe Experience Platform technologies, such as Adobe Experience Cloud, Adobe Launch, Adobe Target, and Adobe Analytics.

Achive your Success with Latest AD0-E600 Exam: https://www.passleadervce.com/Adobe-Experience-Platform/reliable-AD0-E600-exam-learning-guide.html

Leave a Reply Cancel reply