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Why is fine-grained access control important in modern data platforms?
Because it allows you to grant or deny access to entire tables without needing any additional rules.
Because it helps expose only the necessary parts of datasets to different users while protecting sensitive data.
Because it automatically removes all sensitive data from the dataset.
What is the main reason Row and Column Security is preferred over Dynamic Views?
It completely replaces the need for group-based access checks.
It centralizes masking and filtering logic at the table level, reducing object sprawl, and improving governance.
It allows creating multiple separate views for each user group.
How does Lakehouse Monitoring help maintain data quality over time?
By automatically deleting rows with anomalies.
By replacing dashboards with automated reports.
By profiling tables, tracking metrics like null percentages and value distributions, and detecting drift over time.
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