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Microsoft Information Protection Administrator SC-400 Certification Guide

You're reading from   Microsoft Information Protection Administrator SC-400 Certification Guide Advance your Microsoft Security & Compliance services knowledge and pass the SC-400 exam with confidence

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Product type Paperback
Published in Feb 2022
Publisher Packt
ISBN-13 9781801811491
Length 326 pages
Edition 1st Edition
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Authors (2):
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Shabaz Darr Shabaz Darr
Author Profile Icon Shabaz Darr
Shabaz Darr
Viktor Hedberg Viktor Hedberg
Author Profile Icon Viktor Hedberg
Viktor Hedberg
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Exam Overview and Introduction to Information Protection
2. Chapter 1: Preparing for Your Microsoft Exam and SC-400 Exam Objectives FREE CHAPTER 3. Chapter 2: Introduction to Information Protection 4. Section 2: Implementing Information Protection
5. Chapter 3: Creating and Managing Sensitive Information Types 6. Chapter 4: Creating and Managing Trainable Classifiers 7. Chapter 5: Implementing and Managing Sensitivity Labels 8. Chapter 6: Planning and Implementing Encryption for Email Messages 9. Section 3: Implementing Data Loss Prevention
10. Chapter 7: Creating and Configuring Data Loss Prevention Policies 11. Chapter 8: Implementing and Monitoring Microsoft Endpoint Data Loss Prevention 12. Chapter 9: Managing and Monitoring Data Loss Prevention Policies and Activities 13. Section 4: Implementing Information Governance
14. Chapter 10: Configuring Retention Policies and Labels 15. Chapter 11: Managing Data Retention in Microsoft 365 16. Chapter 12: Implementing Microsoft Purview Records Management 17. Practice Exam 18. Other Books You May Enjoy

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...

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