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Implement SQL Server-based options for authentication and authorization, as well as Azure options for securing Azure SQL databases. Explore encryption, firewalls and advanced threat protection.
This learning path helps prepare you for Exam DP-300: Administering Microsoft Azure SQL Solutions.
Prerequisites:
Contrast authentication using Azure Active Directory, Windows Active Directory, and SQL Server authentication. Implement various security principals and configure permissions.
Learning objectives:
After completing this module, you will be able to:
Prerequisites:
This module is part of these learning paths:
Q1. Which protocol is used by Azure Active Directory for Authorization?
Q2. Which database stores the information about logins in SQL Server?
Q3. Which role allows users to create users within a database?
Q4. Which permission allows the user to perform any option against a database object?
Q5. What feature allows a user to execute a stored procedure without having permission to access the tables referenced in the stored procedure?
Explore encryption options available within Azure SQL, including firewall rules, Always Encrypted, and Transport Layer Security. Understand how SQL Injection works.
Learning objectives:
After completing this module, you will be able to:
Prerequisites:
This module is part of these learning paths:
Q1. Which security object is required in order to enable transparent data encryption?
Q2. Which feature prevents members of the sysadmin role from viewing the values of data in a table?
Q3. Which TLS version offers the most secure option for encryption?
Q4. Which feature provides a private IP address for an Azure SQL Database?
Q5. Which technique can be used to create database firewall rules in Azure SQL Database?
Explore data classification capabilities and degrees of confidentiality. Implement security options to maintain private data safe, including Azure SQL auditing, Microsoft Defender for SQL, row-level security, Dynamic Data Masking and Azure SQL Database Ledger.
Learning objectives:
After completing this module, you will be able to:
Prerequisites:
This module is part of these learning paths:
Q1. Where is the data from data classification stored in SQL Server 2019?
Q2. Which server-level action group audits queries and stored procedures executed against an Azure SQL Database?
Q3. Which block predicate prevents users from updating rows to values that violate its row-level security predicate?
Q4. Which of the following features can be used to automate data discovery through the provision of data scanning and classification as a service?
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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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