Free Snowflake Architect Data Security and Governance Questions and Answers — Questions and Answers
Question 1: Which feature in Snowflake allows you to control column-level access to sensitive data?
- Dynamic Data Masking (Correct answer)
- Row Access Policies
- Secure Views
- Time Travel
Correct answer: Dynamic Data Masking
Dynamic Data Masking in Snowflake allows you to control column-level access to sensitive data by applying a masking policy to a column. This policy dynamically transforms the data at query time based on the user's role or other conditions, without altering the underlying data. For example, a user might see only the last four digits of a credit card number, while an authorized user sees the full number, ensuring data privacy.
Question 2: What is the primary purpose of Snowflake’s Zero Trust security model?
- To enable dynamic scaling of compute resources
- To enforce strict access control and authentication (Correct answer)
- To optimize query performance
- To ensure data replication across regions
Correct answer: To enforce strict access control and authentication
Snowflake's Zero Trust security model is primarily designed to enforce strict access control and authentication for all users and resources, regardless of whether they are inside or outside the traditional network perimeter. This model operates on the principle of 'never trust, always verify,' meaning every access attempt is authenticated and authorized based on least privilege. This approach significantly enhances data protection by minimizing the attack surface and preventing unauthorized access.
Question 3: Which of the following does Snowflake use to encrypt data at rest and in transit?
- SSL/TLS for data in transit and AES-256 for data at rest (Correct answer)
- RSA-1024 for data at rest and SHA-256 for data in transit
- DES encryption for data at rest and HTTPS for data in transit
- MD5 for both data at rest and in transit
Correct answer: SSL/TLS for data in transit and AES-256 for data at rest
Snowflake employs industry-standard encryption protocols to secure data. For data in transit, it uses SSL/TLS (Secure Sockets Layer/Transport Layer Security) to establish secure communication channels, protecting data as it moves between clients and the service. For data at rest, Snowflake utilizes AES-256 (Advanced Encryption Standard with a 256-bit key), a robust symmetric encryption algorithm, to encrypt all data stored in its cloud storage layer, ensuring its confidentiality and integrity.
Question 4: Which governance feature allows Snowflake to track and manage who accessed which data and when?
- Data Lineage
- Access History (Correct answer)
- Time Travel
- Data Sharing
Correct answer: Access History
Access History is a powerful governance feature in Snowflake that provides detailed auditing capabilities. It records comprehensive information about who accessed specific data, which queries were run, and when these actions occurred. This granular tracking is crucial for security audits, compliance requirements, and understanding data usage patterns within an organization.
Question 5: How can Snowflake ensure compliance with GDPR or HIPAA regulations?
- By enabling secure data sharing
- By configuring role-based access control (RBAC) and auditing features (Correct answer)
- By optimizing query performance
- By replicating data across multiple clouds
Correct answer: By configuring role-based access control (RBAC) and auditing features
To comply with regulations like GDPR or HIPAA, Snowflake provides robust security and governance features. Configuring role-based access control (RBAC) allows organizations to define precise permissions, ensuring only authorized users can access sensitive data. Additionally, Snowflake's auditing features create a comprehensive log of data access and modifications, providing the necessary transparency and accountability required by these regulations.
Free Snowflake Architect Data Security and Governance Questions and Answers
Which feature in Snowflake allows you to control column-level access to sensitive data?