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Answer: The query will return only the `email` and `ltv` columns. The `email` column will contain the string "REDACTED" for all rows.
When a user who is **not** in the specified group (in this case, `sales`) queries a dynamic view, the `CASE` expression evaluates based on the result of `is_member()`. 1. **Column Selection**: The `CREATE VIEW` statement explicitly selects only two columns: the result of the `CASE` expression (aliased as `email`) and the `ltv` column. Therefore, the `age` column is not included in the output. 2. **Masking Logic**: Since the analyst is not a member of the 'sales' group, `is_member('sales')` returns `FALSE`. The `ELSE` branch of the `CASE` statement is triggered, returning the literal string `'REDACTED'` for every row in the `email` column. 3. **Result**: The analyst receives exactly two columns (`email` and `ltv`), with the `email` values replaced by the mask string. This follows standard Databricks security patterns for row- and column-level redaction using dynamic views.
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A data analyst who is not a member of the sales group queries a view named email_lifetimevalue. This view is built upon the user_lifetimevalue table, which contains the following schema:
email: STRINGage: INTltv: INTThe view was created using the following SQL statement:
CREATE VIEW email_lifetimevalue AS
SELECT
CASE WHEN is_member('sales') THEN email ELSE 'REDACTED' END AS email,
ltv
FROM user_lifetimevalue
CREATE VIEW email_lifetimevalue AS
SELECT
CASE WHEN is_member('sales') THEN email ELSE 'REDACTED' END AS email,
ltv
FROM user_lifetimevalue
What will the analyst see when they execute the query SELECT * FROM email_lifetimevalue?
A
The query will return all three columns (email, age, and ltv) with the original, unmasked values from the source table.
B
The query will return only the email and ltv columns. The email column will contain NULL values for all rows.
C
The query will return only the email and ltv columns. The email column will contain the string "REDACTED" for all rows.
D
Three columns will be returned, but one column will be renamed "REDACTED" and contain only NULL values.
E
The query will return the email, age, and ltv columns with the values as they appear in the user_lifetimevalue table.