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Adobe AD0-E600 exam is a certification program that focuses on the technical foundations of the Adobe Experience Platform. Adobe Experience Platform Technical Foundations certification is designed for IT professionals, developers, and architects who want to enhance their skills and knowledge of the Adobe Experience Platform. The Adobe Experience Platform is a powerful platform that provides businesses with tools to create and deliver personalized experiences for their customers across different channels and devices. Passing the AD0-E600 exam demonstrates that you have a solid understanding of the Adobe Experience Platform and its technical foundations.
NEW QUESTION # 19
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 B must each have datasets associated with them.
- B. Schema A and Schema 6 must each be enabled for Real-time Customer Profile.
- C. Schema A must belong to the same schema class as Schema B.
- D. Schema A and Schema B must each have a primary identity.
- E. Both schemas should have the same fields marked as identities.
Answer: A,D
Explanation:
Explanation
A primary identity is a field that uniquely identifies a profile in a dataset. It is used to merge data from different sources into a single profile. A dataset is a collection of data that is stored in Adobe Experience Platform. It is used to store data from a single source or system.
NEW QUESTION # 20
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 object array field, then in the right rail select Convert to new data type.
- B. Create and save a new custom field group, then add an object array field to that field group.
- C. Create and save a new string array field, then add a nested object field under the string array field.
- D. Create and save a new object field, then create a nested array object under the object field.
Answer: D
NEW QUESTION # 21
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?
- A. Realized Exited. Existing. Exited
- B. Existing. Realized. Exited. Exited
- C. Realized. Existing. Exited. Exited
- D. Exited. Existing. Exited. Realized
Answer: B
Explanation:
Explanation
The segment membership status at each time period is Existing, Realized, Exited, Exited.
References:https://experienceleague.adobe.com/docs/segmentation/using/segmentation-workflow/segmentation-j
NEW QUESTION # 22
A national workout studio chain is introducing a new Family discount program. They have already deployed AEP with the following data model:
* Members Schema (Individual Profile Based):
* Primary ID: Member ID
* Secondary IDs: Email Hash. Phone Hash
* Training Sessions Management (Experience Event):
* Primary ID: Member ID
* Secondary IDs: ECID
* Subscription Management (Experience Event):
* Primary ID: Email Hash
* Secondary IDs: ECID
The workout studio wants to be able to use all of this information together with the family details to segment For example, they want totarget families where one familymember trams daily or one family member has the yearly subscription plan.
To start collecting Family information, the workout studio creates a form where the members can create a Family account and associate the different members to it The form will collect a list of Member IDs and generate a Family ID. A data architect will design a new schema to store the Family information.
Which identities should be used in the schema(s) to collect this form information?
- A. The Family ID should be defined as a cross-device identity and set up as a secondary identity. The Member IDs should be used as primary identities.
- B. The Family ID should be defined as a non-people identity and set up as a primary identity. The Member ID should be set up as a relationship with the Members Schema.
- C. The Family ID should be defined as a non-people identity and set up as the primary identity. The Family ID should also be an attribute of the Members Schema and set up as a relationship.
- D. The Family ID should be defined as a cross-device identity and set up as the primary identity. The Member IDs should be used as secondary identities.
Answer: A
NEW QUESTION # 23
What it the appropriate identity namespacs for an email mat n coming in hashed'
- A. Email SHA256
- B. Email MDS
- C. Email
- D. ECID
Answer: B
NEW QUESTION # 24
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. Dataset > Activity
- B. Monitoring > Batch
- C. Query service
- D. Sources > Data Flow
- E. Identities > Browse
Answer: A,D
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 # 25
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?
- A. Create a XDM Class
- B. Create a Field Group
- C. Create a Data Type
- D. Create a XDM Schema
Answer: A
NEW QUESTION # 26
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. Sources > Data Flow
- B. Dataset > Activity
- C. Monitoring > Batch
- D. Query service
- E. Identities > Browse
Answer: B,E
NEW QUESTION # 27
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. The default timestamp field is required upon ingestion.
- B. CRM ID is an integer when the target field is a string.
- C. _id field is passed in manually instead of autogenerated.
- D. The source datelime format is incompatible with XDM.
Answer: D
NEW QUESTION # 28
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: Private graph
Merge method: Timestamp ordered - B. ID stitching: None
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 # 29
A data engineer is ingesting the transactional information from an ecommerce platform through a daily feed.
In AEP, one Experience Event-based schema will collect the purchase events from this feed.
The eventType field of the schema must be populated with "commerce.purchases' if in a CSV record in which the column 'pure ha sesf arid ate' and 'purchaseenddate" happen on the same day, If the "purchasee/irfdate" is set to a later date, the eventType should be *commerce._orgtenant.cancer.
Both dates follow the same format "yyyy-MM-dd'T'HH:mm:ss.SSS'Z~. and the "purchaseenddate' is always populated.
How should the data engineer create a Calculated Field that can be used to populate the eventType according to the required logic?
A)
B)
C)
D)
- A. Option A
- B. Option B
- C. Option C
- D. Option D
Answer: D
NEW QUESTION # 30
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?
- A. dformaUdateLP'atosaprod.customerCreateDateJ.'dd-MM-yyyy')
- B. format(date(_platosaprod.customerCreateDate),'dd-MM-yyyy')
- C. format(p'atosaprod.custometCreateDate.dd-MM-yyyy')
- D. date(_platosaprod.customerCreateDate.'dd-MM-yyyy')
Answer: A
NEW QUESTION # 31
What is the difference between a data science training run and a data science scoring run?
- A. 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.
- B. 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.
- C. 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.
- D. 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.
Answer: D
NEW QUESTION # 32
What is model scoring in the Data Science Workspace?
- A. Building and evaluating a model
- B. Building a recipe
- C. Applying a model to a data set
- D. Engineering features for a model
Answer: C
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
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. orderlD
- B. orderlD. orderDate
- C. ordetlD. orderDate, storelD
- D. ordedD. lastOrderSlatusUpdate
Answer: C
NEW QUESTION # 34
What is model scoring in the Data Science Workspace?
- A. Building a recipe
- B. Building and evaluating a model
- C. Applying a model to a data set
- D. Engineering features for a model
Answer: B
NEW QUESTION # 35
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
NEW QUESTION # 36
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: B,C
Explanation:
Explanation
According to Adobe Experience Platform Technical Foundations guide, the two options available to stream the event into the Adobe Experience Platform without implementing additional client-side calls on the website are HTTP API and Source connectors12.
https://experienceleague.adobe.com/docs/experience-platform/sources/connectors/streaming/http.html?lang=en
NEW QUESTION # 37
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?
- A. JSON
- B. Blob
- C. Parquet
- D. CSV
Answer: A
Explanation:
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
NEW QUESTION # 38
In an AEP implementation, an SFTP source setup performs daily imports. A marketer notices that the segment volumes linked to that data source have dropped in the last days. After a root cause analysis, it is identified that the dataflow that manages the SFTP import has been disabled by mistake.
The missing files must be ingested in AEP, and the daily import must be re-started.
How should these tasks be performed?
- A. Re-enable the dataflow, and it will automatically upload the missing files.
- B. Re-enable the dataflow and create one-time dataflows per missing file.
- C. Create a new dataflow and enable the backfill.
- D. Re-enable the dataflow and change the starting date to be the date that the dataflow was disabled
Answer: D
Explanation:
Explanation
Re-enable the dataflow and change the starting date to be the date that the dataflow was disabled. This will allow you to backfill the missing files without creating new dataflows
https://business.adobe.com/products/experience-platform/experience-data-model.html
NEW QUESTION # 39
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Adobe AD0-E600 certification exam is an excellent opportunity for technical professionals to validate their knowledge and skills in Adobe Experience Platform Technical Foundations. By passing AD0-E600 exam, individuals can demonstrate their expertise in the platform's technical aspects, which can help them advance their careers and contribute to their organization's success.
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