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Adobe Experience Platform Technical Foundations Sample Questions (Q27-Q32):
NEW QUESTION # 27
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. Monitoring > Batch
- B. Dataset > Activity
- C. Query service
- D. Sources > Data Flow
- E. Identities > Browse
Answer: B,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 # 28
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 change the starting date to be the date that the dataflow was disabled
- B. Re-enable the dataflow and create one-time dataflows per missing file.
- C. Re-enable the dataflow, and it will automatically upload the missing files.
- D. Create a new dataflow and enable the backfill.
Answer: A
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 # 29
A data engineer has a file they must ingest with all string fields. The engineer must keep precision of the data when converting string fields to numeric fields. Which two functions could the the data engineer use when making this conversion? (Choose two.)
- A. To .integer
- B. To.bigint
- C. To.object
- D. To_decimal
- E. To.float
Answer: D,E
Explanation:
Explanation
The two functions that a data engineer could use to convert string fields to numeric fields while keeping precision of the data in Adobe Experience Platform are To.float and To_decimal.
NEW QUESTION # 30
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: Dataset precedence - B. ID stitching: None
Merge method: Timestamp ordered - C. ID stitching: Private graph
Merge method: Timestamp ordered - D. ID stitching: None
Merge method: Dataset precedence
Answer: D
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 # 31
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
- C. ordedD. lastOrderSlatusUpdate
- D. orderlD. orderDate
Answer: B
Explanation:
Explanation
every event loaded into AEP requires a unique ID (_id) that identifies the event. The _id field should be a string that is unique across all events in a dataset.
https://experienceleague.adobe.com/docs/experience-platform/profile/home.html?lang=en
NEW QUESTION # 32
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