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.)
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.
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?
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.
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 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)
Which subset of data appears when clicking the 'Preview dataset" button on a Dataset page?
When clicking the 'Preview dataset' button on a Dataset page, a sample of the most recent successful batch in the dataset appears.
