How does Power BI handle data security?

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Multiple Choice

How does Power BI handle data security?

Explanation:
Power BI employs a comprehensive approach to data security, making use of row-level security, workspace permissions, and app permissions to manage access to reports and dashboards effectively. Row-level security (RLS) is particularly important because it allows organizations to restrict data access at a granular level. For example, different users can view different data sets within the same report based on their roles or permissions, ensuring that sensitive information is only visible to those authorized to see it. Workspace permissions control who can create, edit, delete, or share content within a workspace. By managing these permissions, Power BI ensures that only designated individuals can interact with datasets and reports, maintaining the integrity and security of the information. App permissions further dictate who can access published app content, offering an additional layer of security. Users can share apps with specific groups, allowing for tailored access based on organizational needs. This multi-layered approach is crucial for organizations that handle sensitive data, as it provides flexible and robust security measures that adapt to different use cases without compromising data governance standards.

Power BI employs a comprehensive approach to data security, making use of row-level security, workspace permissions, and app permissions to manage access to reports and dashboards effectively.

Row-level security (RLS) is particularly important because it allows organizations to restrict data access at a granular level. For example, different users can view different data sets within the same report based on their roles or permissions, ensuring that sensitive information is only visible to those authorized to see it.

Workspace permissions control who can create, edit, delete, or share content within a workspace. By managing these permissions, Power BI ensures that only designated individuals can interact with datasets and reports, maintaining the integrity and security of the information.

App permissions further dictate who can access published app content, offering an additional layer of security. Users can share apps with specific groups, allowing for tailored access based on organizational needs.

This multi-layered approach is crucial for organizations that handle sensitive data, as it provides flexible and robust security measures that adapt to different use cases without compromising data governance standards.

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