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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 dat
a. 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?
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.
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 data engineer is ingesting time-series data in CSV format from a CRM system. The source data contains a "subscription" field that contains what level of subscription the customer has purchased.
The data is ingested into a target field called "subscriptionLevel". which is an enum field that accepts the following values: "Lite*. "Standard", and "Pro''.
The data engineer knows that the CSV files contain some rows that do not conform to the above enum. Instead of rejecting those rows, the data engineer wants to transform non-conforming fields to "Standard".
Which mapping function(s) will accomplish this?
you can use Data Prep functions to compute and calculate values based on what is entered in source fields. The iif function returns one value if a condition is true and another value if it is false.
https://experienceleague.adobe.com/docs/experience-platform/data-prep/functions.html?lang=en
A QA engineer needs to determine if the data ingested through three different data sources into three datasets enabled for profile and based in the same XDM Profile schema is processed as expected.

To evaluate the final result, the QA engineer uses the Merge Profile configuration shown;

The primary identity used is '.orgtenant.profilelDs.email".
What data should appear m the user profile?
A)

B)

C)

D)

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)

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