Exam SC-400 topic 1 question 10 discussion

A and B as you need custom classifiers to begin. IP Addresses are built-in so you wouldn't need a new regex or anything for that, just configure in the policy together with the custom classifier with and AND/OR operator.

I'd say B & F B: custom trainable to identify identify computers name, ip adress, etc.. F: sensitivity label with auto-labeling for files and mail support as condition sensitivity info and trainable classifies (information protection auto-labeling) does not support trainable classifiers

To automatically apply a sensitivity label to documents containing network information like computer names and IP addresses, you need two key components: a policy to enforce the label based on content detection and the sensitivity label itself. A. An Information protection auto-labeling policy is required to define the conditions (e.g., sensitive information types) that trigger the label application. This policy specifies how content is scanned and which label to apply. F. A sensitivity label that has auto-labeling is necessary because the label must be configured to be applied automatically through the policy. The label defines the classification and protection settings for the document.

A = Keyword "autolabeling policy". in order to apply label you need auto-labelling policy. B = Keyword "Configuration information" . You cannot use sensitive info type for cofiguration info.

C to match the content. A to auto apply

sensitivity label that has auto-labeling can be applied only to content you create or edit, so we need a policy here! to apply lòabels to at rest docs (shareopint for example). The second part can be done with regex or keywords so A + C or E

It is misleading with custom STI over tainable SIT. trainable SIT requires document seeding

AE - First create Sensitive type info based on key words Then Create a auto labelling policy and call this sensitive info type.

How a customer trainable classifier is created when there are IP address, Computer names etc? Customer trainable classifiers is mainly for documents. the classifier needs 50 to 500 positive sample documents and some negetive sample documents to train the classifier. Although the questions says documents, the trick is a document can contain IP address, computer names etc in any place or in any format. So, create sensitive type info based on key words. then create auto labelling policy

I can only imagine the many, many meetings it would take to agree on what "configuration" information" is and how to identify it.... The real answer would be to argue about it for three years until you get your next role.

A & F "You need to automatically apply"

correct answer: AB

Answer is BF However, if the label contains trainable classifiers as a label condition: - When the label conditions contain just trainable classifiers, you won't see the option to automatically create an auto-labeling policy. - When the label conditions contain trainable classifiers and sensitivity info types, an auto-labeling policy will be created for just the sensitive info types. https://learn.microsoft.com/en-us/microsoft-365/compliance/apply-sensitivity-label-automatically?view=o365-worldwide

Since we want to automatically apply sensitivity labels we need "a sensitivity label that has auto-labeling". And to detect these documents we are going to need to create a custom trainable classifier, the document provided the contains network info & computer info can be used as seeding files. Theses seeding files will be uploaded to SharePoint Online when we start the seeding process. Tested.

Answer is AB. A trainable classifier is definitely needed due to the "company configuration information" requirement, but "sensitivity labels" are found under the Data Classification tab and do not have auto-labeling capabilities, rather auto-labeling is located under Information Protection so the answers AB are correct. Additionally, if scenario didn't include the "configuration information", then a SIT that uses regular expression would have been fine. Reference: https://learn.microsoft.com/en-us/microsoft-365/compliance/apply-sensitivity-label-automatically

BF Classifiers are available to use as a condition for Office auto-labeling with sensitivity labels, auto-apply retention label policy based on a condition and in communication compliance. Sensitivity labels can use classifiers as conditions, see Apply a sensitivity label to content automatically. either the manual or automated pattern-matching methods. This method of classification is more about using a classifier to identify an item based on what the item is, not by elements that are in the item (pattern matching). A classifier learns how to identify a type of content by looking at hundreds of examples of the content you're interested in classifying.

I wrote the exam, this question was on it, I choose these answers, 890: I got this one wrong, well half wrong, chose D instead of B.