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NEW QUESTION: 1
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure SQL database named DB1 that contains a table named Table1. Table1 has a field named Customer_ID that is varchar(22).
You need to implement masking for the Customer_ID field to meet the following requirements:
* The first two prefix characters must be exposed.
* The last four prefix characters must be exposed.
* All other characters must be masked.
Solution: You implement data masking and use a credit card function mask.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
We must use Custom Text data masking, which exposes the first and last characters and adds a custom padding string in the middle.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-dynamic-data-masking-get-started
NEW QUESTION: 2
What are potential options usually evaluated against?
A. MoV Project Plan
B. Value Drivers
C. Value Improving Proposals
D. MoV Study Handbook
Answer: B
NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure SQL database that has columns. The columns contain sensitive Personally Identifiable Information (PII) data.
You need to design a solution that tracks and stores all the queries executed against the PII data. You must be able to review the data in Azure Monitor, and the data must be available for at least 45 days.
Solution: You execute a daily stored procedure that retrieves queries from Query Store, looks up the column classifications, and stores the results in a new table in the database.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
Instead add classifications to the columns that contain sensitive data and turn on Auditing.
Note: Auditing has been enhanced to log sensitivity classifications or labels of the actual data that were returned by the query. This would enable you to gain insights on who is accessing sensitive data.
Reference:
https://azure.microsoft.com/en-us/blog/announcing-public-preview-of-data-discovery-classification-for-microsof