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Question 10

You need to automatically apply a sensitivity label to documents that contain information about your company's network including computer names, IP addresses, and configuration information.

Which two objects should you use? Each correct answer presents part of the solution. (Choose two.)

NOTE: Each correct selection is worth one point.

    Correct Answer: A, B

    To automatically apply a sensitivity label to documents containing information such as computer names, IP addresses, and configuration information, you need an Information protection auto-labeling policy and a custom trainable classifier. The auto-labeling policy is essential for automatically applying sensitivity labels to content, while the custom trainable classifier can be designed to identify complex or specific types of information, such as configuration details, that may not be covered adequately by predefined sensitive info types.

Discussion
[Removed]Options: BF

True, the auto-labeling policy does not support trainable classifiers. So the answer would be B and F.

MahmoudEldeep

Agree and tested

Ali_557

Which answers you have tested? AB or AF?

sergioandreslq

More supporting elements: "Once published your trainable classifier will be available as a condition in Office auto-labeling with sensitivity labels, auto-apply retention label policy based on a condition." Step 21 on reference: https://docs.microsoft.com/en-us/microsoft-365/compliance/classifier-get-started-with?view=o365-worldwide#how-to-create-a-trainable-classifier

Ruslan23

Auto-labeling policy supports trainable classifier. "As you move through the configuration, you see the Auto-labeling for files and emails page where you can choose from a list of sensitive info types or trainable classifiers" https://learn.microsoft.com/en-us/purview/apply-sensitivity-label-automatically#how-to-configure-auto-labeling-for-office-apps

k4d4v4rOptions: AB

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.

lime568

what about "... and configuration information."?

JamesM9Options: BF

This is a tricky question - after a lot of digging, I would say that a custom trainable classifier needs to be created in order to capture the configuration information. Based on the link below, an information Protection auto-labelling policy does not allow the use of custom trainable classifiers, so this can only leave option F. "Once published your classifier will be available as a condition in Office auto-labeling with sensitivity labels, auto-apply retention label policy based on a condition and in Communication compliance" https://docs.microsoft.com/en-us/microsoft-365/compliance/classifier-get-started-with?view=o365-worldwide#how-to-create-a-trainable-classifier Therefore, the answers here are B & F.

fimbulvetrk

I think you're right, even though it's possible to use builtin trainable classifiers in auto labeling policies (which have IP and IT patterns), I'm not sure what is "configuration information" mentioned in this question. Considering that "configuration information" is a type of info not covered by the builtin trainable classifiers, the answer would be B and F, of course... however, if it does cover, it's A and B.

mbhaskerOptions: AB

correct answer: AB

NinjaSchoolProfessorOptions: AB

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

MahmoudEldeepOptions: BF

Correct answer is B&F

dmoorthyOptions: BF

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

xsweOptions: BF

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.

Bluebaron520

valid 24/11/2022

fimbulvetrk

what was your answer? for me it's A and B, once auto-labeling policy now supports trainable classifiers

narenbabu.chintuOptions: AE

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

narenbabu.chintuOptions: CF

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

EM1234Options: CF

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.

EM1234

Also, I really have no idea on what the answer is for this one. I am going with C and F for now, as I think you could do it with those. What even (precisely) is an "information protection auto labeling policy"? Do they mean sensitivity label auto labeling?

SinaesOptions: AF

A & F "You need to automatically apply"

[Removed]Options: 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

prats005Options: BF

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.

wooyourdaddyOptions: CF

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.

CalSTOptions: AB

Auto-labelling for files and emails (ie auto apply settings in the label creation) displays the suggested label but a user can change it (if allowed). This occurs on creation and editing. Auto-labelling applies the label and settings to content at rest and does not need user display or interaction. The question doesn't specify new content, so A is correct. Without information about the computer names & configuration the label could be either keywords, regular expressions or trainable classifiers. Assuming there is already content with this information (the question implies it is already there) then Trainable classifiers would be easiest - but bad question