Book Image

Microsoft Information Protection Administrator SC-400 Certification Guide

By : Shabaz Darr, Viktor Hedberg
2 (1)
Book Image

Microsoft Information Protection Administrator SC-400 Certification Guide

2 (1)
By: Shabaz Darr, Viktor Hedberg

Overview of this book

Cloud technologies have massively increased the amount of data being produced and the places in which this data is stored. Without proper planning and discipline in configuring information protection for your data, you may be compromising information and regulatory compliance. Microsoft Information Protection Administrator SC-400 Certification Guide begins with an overview of the SC-400 exam, and then enables you to envision, implement, and administer the Information Protection suite offered by Microsoft. The book also provides you with hands-on labs, along with the theory of creating policies and rules for content classification, data loss prevention, governance, and protection. Toward the end, you'll be able to take mock tests to help you prepare effectively for the exam. By the end of this Microsoft book, you'll have covered everything needed to pass the SC-400 certification exam, and have a handy, on-the-job desktop reference guide.
Table of Contents (19 chapters)
1
Section 1: Exam Overview and Introduction to Information Protection
4
Section 2: Implementing Information Protection
9
Section 3: Implementing Data Loss Prevention
13
Section 4: Implementing Information Governance

Verifying that a trainable classifier is performing properly

Verification of a classifier is important to make sure that data does not get classified in an incorrect manner. To make sure that your classifier is doing what it is supposed to, follow the steps outlined here.

To verify our trainable classifier, we could go back to the list in the previous section and look at steps 8-12. Here, we will have to give our take on what the classifier has identified. Does it behave as we configured it to?

  1. Go to your classifier and test it on new content.

Figure 4.20 – Does the classifier identify relevant data?

  1. Make sure to add your input for whether the data is relevant.

Figure 4.21 – Click on Yes if the data is relevant, No if not

  1. Simply put, we let our classifier scour through even more data and make our decisions based on the assumptions from the classifier. If there are errors or data gets classified...