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Learn about core concepts that are foundational to security, compliance, and identity solutions, including shared responsibility, Zero Trust, data residency, the role of identity providers, and more.
If you are new to the security area, we recommend:
Primer: Describe the basic concepts of cybersecurity
This learning path helps prepare you for Exam SC-900: Microsoft Security, Compliance, and Identity Fundamentals.
Prerequisites:
Learn about common security and compliance concepts that are foundational to Microsoft solutions. Topics include the shared responsibility and Zero Trust models, encryption, data residency and data sovereignty, and more.
Learning objectives:
After completing this module, you will be able to:
Q1. An organization has deployed Microsoft 365 applications to all employees. Considering the shared responsibility model, who is responsible for the accounts and identities relating to these employees?
Q2. Which of the following measures might an organization implement as part of the defense in-depth security methodology?
Q3. The human resources organization wants to ensure that stored employee data is encrypted. Which security mechanism would they use?
Q4. Which of the following best describes the concept of data sovereignty?
Learn about the key concepts of authentication and authorization and why identity is important in securing corporate resources. You’ll also learn about some identity-related services.
Learning objectives:
After completing this module, you will be able to:
Prerequisites:
Q1. What is a benefit of single sign-on?
Q2. Which relationship allows federated services to access resources?
Q3. Authentication is the process of doing what?
I hope this Microsoft Security, Compliance, and Identity Fundamentals: Describe the concepts of security, compliance, and identity Microsoft Quiz Answers would be useful for you to learn something new from this problem. If it helped you then don’t forget to bookmark our site for more Coding Solutions.
This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.
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