Data privacy and compliance Code Challenges & Tips

1. Write a SQL query to find all records in a customer table where the email addresses do not comply with the format of a valid email address.

2. Create a stored procedure to anonymize personal data in a user table, replacing names and phone numbers with random values.

3. Write a SQL statement that retrieves all sensitive data fields (e.g., SSN, credit card number) from a transactions table where the last four digits of the credit card number are masked.

4. Write a SQL query to identify duplicate records in a patient table while considering only records with the same name and date of birth.

5. Create a trigger that automatically logs any changes to a table containing sensitive personal information such as health records.

6. Write a Python function to generate a secure hash of a given password before storing it in a database.

7. Write a SQL query using window functions to calculate the number of times each user has accessed sensitive information within the last 30 days and filter users who have accessed it more than three times.

8. Create a SQL query that retrieves all user records with a specific privacy flag set to 'true' while hiding any sensitive fields in the output.

9. Write a SQL command to revoke access on specific columns in a table from a user role to enhance data privacy.

10. Write a SQL query that checks for compliance with data retention policy by identifying records in a table that have not been accessed in the last five years and are older than a specified date.