試験DP-750 トピック1 問題9 スレッド
Microsoft DP-750のリアル試験問題集
問題 #: 9
トピック #: 1
問題 #: 9
トピック #: 1
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a catalog named Catalog1. Catalog1 contains a table named Transactions. Transactions contains the following columns:
- transaction_id
- customer_name
- email_address
- credit_card_number
- transaction_amount
You need to ensure that business analysts can query all the rows in the Transactions table. The solution must meet the following requirements:
- Prevent the analysts from seeing the full values in the email_address and credit_card_number columns.
- Ensure that the analysts can see only the values after the @
character in each email address.
- Ensure that the analysts can see only the last four digits of each
credit card number.
- Enable the analysts to query the table without errors.
- Follow the principle of least privilege.
What should you do?
- transaction_id
- customer_name
- email_address
- credit_card_number
- transaction_amount
You need to ensure that business analysts can query all the rows in the Transactions table. The solution must meet the following requirements:
- Prevent the analysts from seeing the full values in the email_address and credit_card_number columns.
- Ensure that the analysts can see only the values after the @
character in each email address.
- Ensure that the analysts can see only the last four digits of each
credit card number.
- Enable the analysts to query the table without errors.
- Follow the principle of least privilege.
What should you do?
おすすめの解答：D 解答を投票する
To protect sensitive customer information while allowing a specific group to run queries, use Unity Catalog's Dynamic Column Masking. This grants the group table access while applying User- Defined Functions (UDFs) to redact the email addresses and credit card numbers dynamically.
Here is the exact SQL implementation to apply:
1. Create the masking SQL UDFs
Define functions to apply the exact partial masking rules requested.
2. Apply the column masks to the tableAlter the transaction table to attach these UDFs to the respective columns.
3. Grant least privilege permissionsGrant the group the SELECT permission on the table, along with the foundational permissions to access the catalog and schema.
Reference:
https://docs.databricks.com/aws/en/data-governance/unity-catalog/filters-and-masks
Here is the exact SQL implementation to apply:
1. Create the masking SQL UDFs
Define functions to apply the exact partial masking rules requested.
2. Apply the column masks to the tableAlter the transaction table to attach these UDFs to the respective columns.
3. Grant least privilege permissionsGrant the group the SELECT permission on the table, along with the foundational permissions to access the catalog and schema.
Reference:
https://docs.databricks.com/aws/en/data-governance/unity-catalog/filters-and-masks
松本** 2026-06-26 01:13:18
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