Azure Data Scientists Associate Practice Exam

In the context of Azure batch endpoints, what does the append_row output action do?

1. It summarizes all predictions into a single file.

2. It appends each prediction to one output file.

3. It overwrites existing output files with new predictions.

4. It distributes predictions across multiple output files.

The correct answer is: It appends each prediction to one output file.

The append_row output action in the context of Azure batch endpoints is designed to enhance the way predictions are recorded by appending each individual prediction to a single output file. This means that as new predictions are made, each result is added sequentially to the existing content of the file, allowing for a cumulative growth of data without loss of prior entries. This is particularly useful for scenarios where you want to maintain a continuous log of predictions over time, enabling easy access to all results in one location for analysis or further processing. In contrast, the other options imply different behavior that is not characteristic of the append_row action. For example, summarizing all predictions into a single file would require aggregation of results, which is a different function and does not fit the purpose of appending rows. Overwriting existing output files suggests a loss of previous data, which goes against the nature of appending. Finally, distributing predictions across multiple output files would complicate data management, making it less efficient to track and analyze results when a single, continuous output file is preferable for many applications.