Which option allows you to improve run times when configuring a CSV input in Alteryx?

The option that allows you to improve run times when configuring a CSV input in Alteryx is related to the use of the Record Limit. By setting a specific limit on the number of records to read, you can significantly reduce the amount of data that needs to be processed. This can lead to faster run times because the tool doesn't have to parse through the entire CSV file, which might contain a vast number of records.

Using a Record Limit is especially beneficial during initial data exploration or when you are testing workflows, as it permits you to work with a smaller, more manageable subset of data. This focuses the resources on handling fewer records, which can streamline processing and reduce overall execution time.

On the other hand, while the other options might have their uses in specific scenarios, they do not directly address performance improvements in the way that Record Limit does. For instance, Output File Name As Field is useful for adding metadata but does not have an impact on run times. Field Length affects data type processing but is not a direct speed enhancement. Ignoring delimiters may complicate data parsing and could lead to erroneous data interpretation, thus not contributing to performance improvement.