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Learn the concept across structured materials, then test it through adaptive questions and applied scenarios. Your results contribute to an objective-level mastery view and your next recommended action.
Official references
- Identify and mitigate AI data security risks
- Identify AI data risks using Microsoft Purview Data Security Posture Management
- Investigate data security risks with Microsoft Purview Data Security Posture Management
- Protect and remediate sensitive data in Microsoft Purview
- Apply sensitivity labels for data protection
- Implement compliance controls for sensitive data
- Understand data protection and resiliency in Azure NetApp Files
- Review responsible AI principles for language models in Azure Databricks
- Protect sensitive data in a digital world
- Review and analyze data classification and protection
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