SC-401 · Question #12
You have a Microsoft SharePoint Online site named Site1 that contains a document library. The library contains more than 1,000 documents. Some of the documents are job applicant resumes. All the…
The correct answer is A. a trainable classifier. Since you need to automatically apply a sensitivity label to resumes based on their content and structure (work experience, education, accomplishments), a trainable classifier is the best choice. Trainable classifiers use machine learning to identify unstructured data, such as…
Question
You have a Microsoft SharePoint Online site named Site1 that contains a document library. The library contains more than 1,000 documents. Some of the documents are job applicant resumes. All the documents are in the English language. You plan to apply a sensitivity label automatically to any document identified as a resume. Only documents that contain work experience, education, and accomplishments must be labeled automatically. You need to identify and categorize the resumes. The solution must minimize administrative effort. What should you include in the solution?
Options
- Aa trainable classifier
- Ba keyword dictionary
- Ca function
- Dan exact data match (EDM) classifier
How the community answered
(38 responses)- A79% (30)
- B13% (5)
- C3% (1)
- D5% (2)
Explanation
Since you need to automatically apply a sensitivity label to resumes based on their content and structure (work experience, education, accomplishments), a trainable classifier is the best choice. Trainable classifiers use machine learning to identify unstructured data, such as resumes, contracts, or legal documents. Instead of relying on predefined patterns (like keywords or regular expressions), a trainable classifier learns from sample documents and can accurately identify resumes even if they are formatted differently. - Train a trainable classifier using sample resumes. - Deploy the classifier in Microsoft Purview. - Configure a sensitivity label to be automatically applied when a document matches the classifier.
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