Exam SC-400 topic 1 question 28 discussion

You want to seed with only good documents to train your trainable classifier correctly so that it knows what to look for. When you test it you want both good and bad examples to know if it can detect both false and true positives.

Looks like alot has changed in 2 years. Now you need to give positive and negative samples at the same time.

On exam 1/20/2022

In Seed content why its not the 3rd option?

Collect at least 200 test content items (10,000 max) for best results. These should be a mix of items that are strong positives, strong negatives and some that are a little less obvious in their nature. See, Default crawled file name extensions and parsed file types in SharePoint Server for the supported file types. From <https://docs.microsoft.com/en-us/microsoft-365/compliance/classifier-get-started-with?view=o365-worldwide>

Looks correct as per https://docs.microsoft.com/en-us/microsoft-365/compliance/classifier-get-started-with?view=o365-worldwide

Correct Answer Seeds Make sure the items in your seed set are strong examples of the category. The trainable classifier initially builds its model based on what you seed it with. The classifier assumes all seed samples are strong positives and has no way of knowing if a sample is a weak or negative match to the category. Testing content Collect at least 200 test content items (10,000 max) for best results. These should be a mix of items that are strong positives, strong negatives and some that are a little less obvious in their nature. See, Default crawled file name extensions and parsed file types in SharePoint Server for the supported file types.