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Answer: Utilize Microsoft Purview's automated scanning and classification tools to identify sensitive data across all sources and apply both predefined and custom sensitivity labels for consistent data protection., Combine the use of Microsoft Purview's automated tools for initial classification and labeling with periodic manual reviews to ensure accuracy and adapt to new data types.
Microsoft Purview's Data Classification & Labeling features provide automated scanning and cataloging of data across various sources, including the identification of sensitive data based on predefined and custom sensitivity labels. This approach ensures consistent labeling across the data estate to enforce policies and protect sensitive information efficiently. Combining automated tools with periodic manual reviews (Option E) enhances accuracy and adaptability to new data types, making it a comprehensive strategy for data classification and labeling.
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Your organization is planning to implement Microsoft Purview to manage data across various sources including Azure, AWS, and on-premises databases. The goal is to ensure sensitive data is properly classified and labeled to meet compliance requirements and protect against data breaches. Considering the need for scalability, cost-effectiveness, and adherence to compliance standards, which of the following approaches would you recommend? (Choose two options.)
A
Manually review each data source and apply labels based on personal judgment, ensuring a thorough understanding of each data type.
B
Utilize Microsoft Purview's automated scanning and classification tools to identify sensitive data across all sources and apply both predefined and custom sensitivity labels for consistent data protection.
C
Rely solely on individual department policies for data classification and labeling, avoiding the use of Microsoft Purview's tools to reduce costs.
D
Outsource the entire data classification and labeling process to a third-party vendor, bypassing Microsoft Purview's integrated features.
E
Combine the use of Microsoft Purview's automated tools for initial classification and labeling with periodic manual reviews to ensure accuracy and adapt to new data types.