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

Identifying when to use trainable classifiers

When do you use trainable classifiers? Well, to answer that, we will need to revisit the different options we have at our disposal to classify data in our environment:

  • Manually: The responsibility of classifying the data falls on the end user or the administrator, using the sensitivity labels created in the previous chapter, Chapter 3, Creating and Managing Sensitive Information Types.
  • Automated pattern matching: Automated pattern matching includes finding content by using the following:

a. Metadata values or keywords

b. Sensitive information types to identify data

c. Document fingerprinting to recognize data

d. Exact data match by finding the presence of exact strings

  • Trainable classifiers: The classification method of trainable classifiers is very well suited for content that is not easily identified by automated pattern matching or the manual approach.

As the list makes it...