Snowflake Dynamic Data Masking: Intermediate-Level Quiz

Dynamic Data Masking in Snowflake: Intermediate Quiz

This quiz tests your understanding of Dynamic Data Masking in Snowflake, an advanced data security feature that allows you to mask sensitive data on the fly. It covers a range of topics, from basic concepts to practical implementation.

1 / 20

How does DDM work in Snowflake?

By creating a separate masked view of the data.

By encrypting the sensitive columns in the underlying tables.

By applying masking policies to specific columns and rows.

By using a combination of encryption and tokenization.

2 / 20

DDM can be used to mask data based on data usage patterns.

True

False

3 / 20

What is the difference between a masked view and a normal view?

A. A masked view applies masking policies to the underlying data.
B. A masked view is encrypted at rest.
C. A masked view is only accessible to specific users.
D. A masked view is a materialized view.

A masked view is a materialized view.

A masked view applies masking policies to the underlying data.

A masked view is only accessible to specific users.

A masked view is encrypted at rest.

4 / 20

What are some best practices for implementing DDM in Snowflake?

Regularly review and update masking policies.

Identify sensitive data and classify it appropriately.

Create granular masking policies to control access to sensitive data.

All options are correct

5 / 20

DDM can be used to mask data in semi-structured data formats like JSON and XML.

False

True

6 / 20

DDM can be used to mask data in stored procedures and functions.

True

False

7 / 20

DDM can be used to mask data based on time of day.

True

False

8 / 20

You have a view named sales_report that contains sensitive customer information. You want to restrict access to this view to only authorized users. Which of the following methods would you use to achieve this?

All of the options

Create a role for authorized users and grant them access to the view.

Encrypt the view using a strong encryption algorithm.

Apply a row-level security policy to the view.

9 / 20

DDM can be used to mask data based on data retention policies.

False

True

10 / 20

What are the different masking functions available in Snowflake?

Hashing, masking, and tokenization.

Masking, redaction, and anonymization.

Masking, obfuscation, and encryption.

Hashing, salting, and key stretching.

11 / 20

DDM can be used to mask data based on specific conditions.

False

True

12 / 20

DDM can be used to mask data in external tables.

False

True

13 / 20

What are the primary benefits of using DDM?

A. Improved data privacy and security.
B. Enhanced data governance and compliance.
C. Reduced storage costs.
D. A and B.

Enhanced data governance and compliance.

Improved data privacy and security.

Reduced storage costs.

Improved data privacy and security and Enhanced data governance and compliance

14 / 20

DDM can be used to mask data in real-time.

True

False

15 / 20

DDM can be used to mask data based on data quality metrics.

False

True

16 / 20

What is Dynamic Data Masking (DDM)?

A technique to encrypt sensitive data at rest.

A method to obfuscate sensitive data on the fly.

A tool to anonymize data for analytics purposes.

A process to redact personal information from logs.

17 / 20

You want to create a masking policy to mask the credit_card_number column in the orders table. The masking function should replace the first 12 digits with 'X' and keep the last 4 digits. Which of the following SQL statements would you use to create the masking policy?

CREATE MASKING POLICY credit_card_mask AS DEFAULT FUNCTION MASK_PARTIAL('X', 4, 12);

CREATE MASKING POLICY credit_card_mask AS DEFAULT FUNCTION MASK_ALL('X');

CREATE MASKING POLICY credit_card_mask AS DEFAULT FUNCTION MASK_HASH('SHA256');

CREATE MASKING POLICY credit_card_mask AS DEFAULT FUNCTION MASK_PARTIAL('X', 12, 4);

18 / 20

DDM can be used to mask data based on data lineage.

False

True

19 / 20

DDM can be used to mask data based on data sensitivity levels.

False

True

20 / 20

How can you apply a masking policy to a table or view?

By granting specific privileges to users.

By modifying the table or view definition.

By creating a masked view.

By configuring the Snowflake security policies.

Your score is

The average score is 66%

Are you confident in your Snowflake Dynamic Data Masking (DDM) skills? This intermediate-level quiz will challenge your knowledge of this powerful security feature.

With this quiz, you will grasp the fundamental principles of DDM, including its purpose, benefits, and limitations. In addition, it tests how to apply DDM to real-world scenarios, such as masking sensitive data in tables, views, and stored procedures.

Take this quiz to gauge your expertise and identify areas for improvement.

Good luck.