Identifying Files for Auto-Applying Retention Labels
Question
At the end of a project, you upload project documents to a Microsoft SharePoint Online library that contains many files.
The following is a sample of the project document file names: -> aei_AA989.docx -> bci_WS098.docx -> cei_DF112.docx -> ebc_QQ454.docx -> ecc_BB565.docx All documents that use this naming format must be labeled as Project Documents: You need to create an auto-apply retention label policy.
What should you use to identify the files?
Answers
Explanations
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https://docs.microsoft.com/en-us/microsoft-365/compliance/classifier-get-started-with?view=o365-worldwideTo create an auto-apply retention label policy for the project documents, you need to identify the files that should be labeled. The file names all use a specific naming format, so you can use a trainable classifier to identify the project documents based on their file names.
A trainable classifier is a machine learning model that can be trained to recognize specific patterns in data. In this case, you would train the classifier to recognize the pattern in the file names that indicates they are project documents. Once the classifier has been trained, it can be used to automatically identify and label any new project documents that are added to the SharePoint Online library.
While sensitive info types and retention labels can also be used for information protection and retention purposes, they are not the best options in this scenario. A sensitive info type is typically used to detect specific types of sensitive information within a file, such as credit card numbers or social security numbers. A retention label is used to classify content based on its business value and retention requirements, but it does not provide a way to automatically identify specific files based on their names.
Therefore, in this scenario, a trainable classifier would be the most appropriate option to identify the project documents based on their file names and create an auto-apply retention label policy.
