What level of security do Access Filters provide?

What level of security do Access Filters provide?

• A. Column-level
• B. Row-level
• C. File-level
• D. User-level

Answer: (B)

Access Filters provide row-level security in Looker. This means that they control access to specific rows of data in your queries based on user attributes or filters applied. When you implement access filters, you're essentially defining which subsets of data a user can see or interact with, depending on their specific attributes or the conditions set in the filter. For instance, if you have a dataset containing information about various sales regions, an access filter can restrict a user to only see data related to their assigned region. This row-level control is crucial for maintaining data privacy and ensuring that users only access the information that is relevant to them based on their roles or permissions within the organization. The other potential options represent different levels of data security that do not apply in the same manner within the context of Looker’s access filters. Column-level would pertain to controlling access to specific fields or attributes in the data schema, while file-level does not apply since Looker primarily operates in a database context rather than direct file access, and user-level implies a broader scope than the specific, targeted approach of row-level security.

Access Filters provide row-level security in Looker. This means that they control access to specific rows of data in your queries based on user attributes or filters applied. When you implement access filters, you're essentially defining which subsets of data a user can see or interact with, depending on their specific attributes or the conditions set in the filter.

For instance, if you have a dataset containing information about various sales regions, an access filter can restrict a user to only see data related to their assigned region. This row-level control is crucial for maintaining data privacy and ensuring that users only access the information that is relevant to them based on their roles or permissions within the organization.

The other potential options represent different levels of data security that do not apply in the same manner within the context of Looker’s access filters. Column-level would pertain to controlling access to specific fields or attributes in the data schema, while file-level does not apply since Looker primarily operates in a database context rather than direct file access, and user-level implies a broader scope than the specific, targeted approach of row-level security.