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A trainable classifier is the most appropriate choice for automatically applying a retention label based on file names or patterns. Trainable classifiers use machine learning to identify content by patterns or naming conventions. In this case, since all the files follow a specific naming format (e.g., aei_AA989.docx, bci_WS098.docx), you can train a classifier to recognize these files and automatically apply the Project Documents label to them.
Other options:
A sensitive info type (Option A) is used for identifying specific patterns of sensitive data (like credit card numbers or social security numbers) and is not ideal for identifying files by naming conventions.
A retention label (Option B) is something you would apply as part of the process, but it is not used to identify files for automatic labeling. A retention label would be applied after a classifier or rule identifies the files.
So, the correct selections are:
Trainable classifier
[a-z]{3}_[A-Z]{2}\d{3}.docx