Snowflake - Build and Architect Data Pipelines Using AWS - Section Overview - Snowflake – Data Protection and Governance

The video tutorial covers key aspects of data governance in security, focusing on time travel and failsafe, column level data masking, and row level access policy. It includes practical lab sessions on implementing these concepts in Snowflake, providing a comprehensive understanding of data security measures.

Which of the following is NOT a core topic covered in the data governance section?

• Time travel and fail-safe

• Column-level data masking

• Row-level access policy

• Network security

What is the primary focus of the lab section in the time travel and fail-safe topic?

• Implementing time travel in Snowflake

• Configuring network security

• Understanding data masking techniques

• Setting up row-level access policies

Dynamic data masking is used to enhance which type of security?

• Network security

• Application security

• Column-level security

• Physical security

What is the purpose of a row-level access policy?

• To encrypt data at rest

• To control access to specific rows in a database

• To manage user authentication

• To mask sensitive data in columns

Which of the following is implemented using low-level access policies?

• Time travel

• Fail-safe

• Row-level security

• Column-level data masking