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Adobe AD0-E600 Exam Syllabus Topics:

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

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Adobe Experience Platform Technical Foundations Sample Questions (Q24-Q29):

NEW QUESTION # 24
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?

  • A. 3 CSV files in the format of: filename.csv {containing 5 million records) filename2.c$v (containing 5 million records) ftlename3.csv (containing 2 million records)
  • B. 3 JSON files in the format of: filenamejson (containing 5 million records) filename_2json (containing 5 million records) filename.3json (containing 2 million records)
  • C. 1 CSV file in the format of: filename.csv (containing 12 million records)
  • D. 2 CSV files in the format of filename.csv (containing 6 million records) filename_2.csv (containing 6 million records)

Answer: D
NEW QUESTION # 25
Which subset of data appears when clicking the 'Preview dataset" button on a Dataset page?

  • A. A sample of the data structure of the XDM schema
  • B. A sample of all successful batches in the dataset in the past 7 days
  • C. A sample of the most recent successful batch in the dataset
  • D. A sample of all successful and failed batches in the dataset

Answer: C 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 # 26
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?

  • A. Use a Runtime function in Adobe I/O that retrieves the product data using the Data Access API
  • B. Enable the products dataset for profile and use the Real-time Profile API
  • C. Trigger an API event into Journey Optimizer and run a Journey to retrieve the product data
  • D. Use a SQL client in the Customer Care platform and connected into the AEP Query Service

Answer: B Explanation:
Explanation
The products dataset can be enabled for profile and used with the Real-time Profile API to retrieve product details using the product ID. References:
https://experienceleague.adobe.com/docs/experience-platform/profile/data-ingestion/datasets.html?lang=en#enab
NEW QUESTION # 27
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. format(p'atosaprod.custometCreateDate.dd-MM-yyyy')
  • B. format(date(_platosaprod.customerCreateDate),'dd-MM-yyyy')
  • C. date(_platosaprod.customerCreateDate.'dd-MM-yyyy')
  • D. dformaUdateLP'atosaprod.customerCreateDateJ.'dd-MM-yyyy')

Answer: B Explanation:
Explanation
The data engineer should use the date function to convert the string to a date object and then use the format function to format the date object to the desired format1.
NEW QUESTION # 28
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. Make the current mandatory field optional
  • B. Assign the field a new data type
  • C. Remove the previously defined field
  • D. Rename the existing field

Answer: A Explanation:
Explanation
If a previously defined mandatory field is no longer available due to some changes in the inbound data, the data architect responsible for maintaining existing schemas has the following options:
* Remove the previously defined field: This option is not appropriate because the field is mandatory and
* removing it would cause issues with data ingestion.
* Make the current mandatory field optional: This option is appropriate because the field is no longer available and making it optional would allow data ingestion to continue without issues.
* Rename the existing field: This option is not appropriate because renaming the field would cause issues with data ingestion.
* Assign the field a new data type: This option is not appropriate because the field is mandatory and changing its data type would cause issues with data ingestion.
Therefore, the data architect can make the current mandatory field optional.
NEW QUESTION # 29
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