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Question 191 - DA0-001 discussion

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A user imports a data file into the accounts payable system each day. On a regular basis. the field input is not what the system is expecting. so it results in an error for the row and a broken import process. To resolve the issue, the user opens the file, finds the error in the row, and manually corrects it before attempting the import again. The import sometimes breaks on subsequent attempts. though. Which of the following changes should be made to this process to reduce the number of errors?

A.
Delete all incorrect inputs and upload the corrected file.
Answers
A.
Delete all incorrect inputs and upload the corrected file.
B.
Have the user manually review the file for data completeness before loading it
Answers
B.
Have the user manually review the file for data completeness before loading it
C.
Create a data field to data type validator to run the file through prior to import.
Answers
C.
Create a data field to data type validator to run the file through prior to import.
D.
Spot-check the file prior to import to catch and correct field errors.
Answers
D.
Spot-check the file prior to import to catch and correct field errors.
Suggested answer: C

Explanation:

A data field to data type validator is a tool or a process that checks if the data in each field of a file matches the expected data type, such as text, number, date, etc. A data field to data type validator can help to identify and correct any errors or inconsistencies in the data before importing it into the accounts payable system. This would reduce the number of errors and broken imports, as well as save time and effort for the user. /////

asked 02/10/2024
Andrea DG
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