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Adobe AD0-E600 Exam is designed to test your expertise in Adobe's Experience Platform Technical Foundations. Adobe Experience Platform Technical Foundations certification exam is a vital step for professionals who want to demonstrate their skills in using Adobe Experience Platform to build and deploy personalized experiences for their customers.
Adobe AD0-E600 exam is a multiple-choice exam that consists of 60 questions. Candidates have 90 minutes to complete the exam, and they must achieve a score of at least 70% to pass. AD0-E600 exam is available in English and Japanese, and candidates can take it at any Pearson VUE testing center.
NEW QUESTION # 26
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?
- A. 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
- B. 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
- C. 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
- D. 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
Answer: B
Explanation:
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.
NEW QUESTION # 27
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?
- A. ID stitching: None
Merge method: Timestamp ordered - B. ID stitching: Private graph
Merge method: Timestamp ordered - C. ID stitching: None
Merge method: Dataset precedence - D. ID stitching: Private graph
Merge method: Dataset precedence
Answer: C
Explanation:
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
NEW QUESTION # 28
Your customer wants to take purchase activity from their website and stream the event into the Adobe Experience Platform They do NOT want to implement additional client-side calls on the website. Which two options are available to do this? (Choose two.)
- A. Web/Mobile SDK
- B. HTTP API
- C. Source connectors
Answer: A,C
NEW QUESTION # 29
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?
- A. Edit the Identity Namespace type within the AEP User-Interface under Identities.
- B. Delete the custom Identity Namespace from the AEP User-Interface under Identities.
- C. Create a new custom Identity Namespace with the correct Identity type.
- D. Using the Identity Namespace APIs, update the custom Identity type.
Answer: C
Explanation:
Explanation
https://experienceleague.adobe.com/docs/experience-platform/identity/namespaces.html?lang=en
NEW QUESTION # 30
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?
- A. ordetlD. orderDate, storelD
- B. orderlD. orderDate
- C. orderlD
- D. ordedD. lastOrderSlatusUpdate
Answer: A
NEW QUESTION # 31
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.)
- A. Query service
- B. Sources > Data Flow
- C. Dataset > Activity
- D. Monitoring > Batch
- E. Identities > Browse
Answer: B,C
Explanation:
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.
NEW QUESTION # 32
What is model scoring in the Data Science Workspace?
- A. Applying a model to a data set
- B. Building a recipe
- C. Engineering features for a model
- D. Building and evaluating a model
Answer: A
Explanation:
Explanation
Model scoring in the Data Science Workspace in Adobe Experience Platform is the process of applying a model to a data set. Scoring in Adobe Experience Platform Data Science Workspace can be achieved by feeding input data into an existing trained model. Scoring results are then stored and viewable in a specified output dataset as a new batch.
NEW QUESTION # 33
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.)
- A. Schema A and Schema 6 must each be enabled for Real-time Customer Profile.
- B. Schema A must belong to the same schema class as Schema B.
- C. Schema A and Schema B must each have datasets associated with them.
- D. Schema A and Schema B must each have a primary identity.
- E. Both schemas should have the same fields marked as identities.
Answer: C,D
NEW QUESTION # 34
A data engineer is required to partially ingest data via a Source Connector. Which three source connectors are permitted for this task? (Choose three.)
- A. Microsoft Dynamics
- B. Azure Blob Storage
- C. FTP/SFTP
- D. HTTP API
- E. Adobe Analytics
- F. Web SDK
Answer: B,C,E
NEW QUESTION # 35
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?
- A. 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
- B. 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
- C. 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
- D. 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
Answer: D
NEW QUESTION # 36
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?
- A. Use the Identity API to get the details of the Identity Namespace definition
- B. Use Identity graph viewer to retrieve the list of data sources
- C. Use the Real-time Profile Ul to retrieve the Identity Map linked to the profile
- D. Use the Identity API to list the Identity Mappings for the email
Answer: D
NEW 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?
- A. CRM ID is an integer when the target field is a string.
- B. The default timestamp field is required upon ingestion.
- C. The source datelime format is incompatible with XDM.
- D. _id field is passed in manually instead of autogenerated.
Answer: C
NEW QUESTION # 38
A data architect responsible for maintaining existing schemas is notified that a previously defined mandatory field is no longer available due to some changes in the inbound data. The data architect confirms the existing schema has been saved and is currently being leveraged in data ingestion.
Which option does the data architect have?
- A. Rename the existing field
- B. Assign the field a new data type
- C. Make the current mandatory field optional
- D. Remove the previously defined field
Answer: D
NEW QUESTION # 39
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.
Answer: A
NEW QUESTION # 40
When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?
- A. Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.
- B. All data is ingested and query services reporting identify any records that do not pass custom validation rules.
- C. Leveraging synchronous validation, data engineers can review error messages for records that fail validation.
- D. As long as the data matches the pre-defined SXM schema, records in the payload pass
Answer: C
Explanation:
Explanation
When sending data through the RESTful API, data engineers can make sure the payload being sent is formatted properly in real time by leveraging synchronous validation. Synchronous validation allows data engineers to review error messages for records that fail validation
NEW QUESTION # 41
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.)
- A. Identities > Browse
- B. Query service
- C. Dataset > Activity
- D. Monitoring > Batch
- E. Sources > Data Flow
Answer: A,C
NEW QUESTION # 42
Which is a type of governance label?
- A. Event Label
- B. Currency Label
- C. Contract Label
- D. Geographic Label
Answer: D
NEW QUESTION # 43
Which subset of data appears when clicking the 'Preview dataset" button on a Dataset page?
- A. A sample of the most recent successful batch in the dataset
- B. A sample of all successful batches in the dataset in the past 7 days
- C. A sample of all successful and failed batches in the dataset
- D. A sample of the data structure of the XDM schema
Answer: A
Explanation:
Explanation
When clicking the 'Preview dataset" button on a Dataset page, a sample of the most recent successful batch in the dataset appears.
NEW QUESTION # 44
Given the following:
How should a data engineer ingest this data?
- A. AEP Ul > Locate Dataset » Drag and drop the JSON files
- B.
- C.
Answer: A
NEW QUESTION # 45
When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?
- A. Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.
- B. All data is ingested and query services reporting identify any records that do not pass custom validation rules.
- C. Leveraging synchronous validation, data engineers can review error messages for records that fail validation.
- D. As long as the data matches the pre-defined SXM schema, records in the payload pass
Answer: D
NEW QUESTION # 46
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?
- A. Create and save a new custom field group, then add an object array field to that field group.
- B. Create and save a new object field, then create a nested array object under the object field.
- C. Create and save a new object array field, then in the right rail select Convert to new data type.
- D. Create and save a new string array field, then add a nested object field under the string array field.
Answer: B
NEW QUESTION # 47
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