2023 AD0-E600 Question Bank Free PDF Download Recently Updated Questions [Q10-Q26]

AD0-E600 Adobe

admin • October 29, 2023

2023 AD0-E600 Question Bank Free PDF Download Recently Updated Questions [Q10-Q26]

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

AD0-E600 Certification Exam Dumps with 52 Practice Test Questions

Earning the Adobe AD0-E600 certification demonstrates your expertise in using Adobe Experience Platform to deliver exceptional customer experiences. Adobe Experience Platform Technical Foundations certification is recognized globally and is highly valued by employers in the digital marketing industry. By passing AD0-E600 exam, you can enhance your career prospects and open up new opportunities for professional growth.

NO.10 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.

Explanation
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.
References:https://experienceleague.adobe.com/docs/experience-platform/data-science-workspace/overview.htm

NO.11 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.

Explanation
https://experienceleague.adobe.com/docs/experience-platform/identity/namespaces.html?lang=en

NO.12 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?

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

Explanation
the segment builder Ul can be used to build this segment by dragging and dropping the LoyaltyLevel and Age attributes into an “Include all of” container. Then, drag and drop the MantalStatus and Location attributes into an “Exclude any of” container.

NO.13 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

NO.14 A marketer wants to send profile and attributes information to an RT-CDP Destination.
Which destination option should the marketer choose to send profile and attributes information?

Amazon S3 cloud storage destination

Facebook Pixel extension

Google Display and Video 360

Google Ads

NO.15 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

Explanation
every event loaded into AEP requires a unique ID (_id) that identifies the event. The _id field should be a string that is unique across all events in a dataset.
https://experienceleague.adobe.com/docs/experience-platform/profile/home.html?lang=en

NO.16 Which is a type of governance label?

Geographic Label

Currency Label

Contract Label

Event Label

Explanation
The type of governance label is Currency Label . Data usage labels allow you to categorize datasets and fields according to governance policies and access control policies that apply to that data. Adobe Experience Platform provides several core data usage labels out-of-the-box that you can use to start categorizing your data
1.

NO.17 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.

NO.18 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.

NO.19 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?

NO.20 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

Explanation
https://experienceleague.adobe.com/docs/experience-platform/sources/api-tutorials/create/streaming/http.html?la

NO.21 A data engineer is required to partially ingest data via a Source Connector. Which three source connectors are permitted for this task? (Choose three.)

FTP/SFTP

HTTP API

Adobe Analytics

Azure Blob Storage

Microsoft Dynamics

Web SDK

Explanation
https://experienceleague.adobe.com/docs/experience-platform/data-prep/home.html

NO.22 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

Explanation
Based on the options for ID stitching and merge method respectively, the appropriate type of merge policy for this use case is:
* ID stitching: None
* Merge method: Dataset precedence
The merge policy determines how data fragments from multiple sources are combined to create a complete view of each individual customer. The merge policy is defined by the ID stitching and merge method options.
In this use case, the marketer wants to create a segment that qualifies profiles from all datasets that are enabled for profile. The use case for the segment is for activation to advertising destinations. Therefore, the appropriate type of merge policy is ID stitching: None and Merge method: Dataset precedence.
https://experienceleague.adobe.com/docs/experience-platform/profile/merge-policies/overview.html%3Flang%3

NO.23 A marketer needs to quickly validate that data ingested into a dataset processed to Profile successfully. Using the AEP in which two ways can the marketer perform this task? (Choose two.)

Sources > Data Flow

Query service

Dataset > Activity

Monitoring > Batch

Identities > Browse

Explanation
To validate that data ingested into a dataset processed to Profile successfully, a marketer can use the following two ways in Adobe Experience Platform (AEP):
* Sources > Data Flow
* Dataset > Activity
Sources > Data Flow: This option allows the marketer to validate that data ingested into a dataset processed to Profile successfully by checking the data flow. The marketer can check the data flow to ensure that the data is being ingested correctly and that the data is being processed to Profile successfully.
Dataset > Activity: This option allows the marketer to validate that data ingested into a dataset processed to Profile successfully by checking the activity of the dataset. The marketer can check the activity of the dataset to ensure that the data is being ingested correctly and that the data is being processed to Profile successfully.

NO.24 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

Explanation
JSON is the file format supported for this use case. References:
https://experienceleague.adobe.com/docs/experience-platform/data-access-api/data-access-api/data-access-api-ov

NO.25 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)

Explanation
The export will be presented to the marketer in one CSV file containing 12 million records1.
https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/cloud-storage/amazon-s3.htm

NO.26 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)