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

Chapter 4: Creating and Managing Trainable Classifiers

In this chapter, we will introduce trainable classifiers, including how to identify, create, and manage them. We will also look at how to verify that they are performing correctly and how to retrain a classifier. Classifying and labeling content in bulk is a challenge for many organizations, which is where trainable classifiers come to play.

In this chapter, we are going to cover the following main topics:

  • What are trainable classifiers?
  • Identifying when to use trainable classifiers
  • Creating a trainable classifier
  • Verifying a trainable classifier is performing properly
  • Retraining a classifier