Databricks Certified Data Engineer - Associate
Comments
Loading comments...
Ultimate access to all questions.
In the context of data governance within an Azure Databricks environment, a multinational corporation is planning to expand its operations into a new country with strict data protection laws. The corporation must ensure that all customer data collected within this country is stored and processed within its geographical boundaries to comply with local regulations. Considering the need for cost-effectiveness, scalability, and compliance, which of the following best describes the concept of data sovereignty and its importance in this scenario? (Choose one correct option)
A
Data sovereignty refers to the process of encrypting data at rest and in transit to ensure its security, regardless of where it is stored or processed.
B
Data sovereignty involves the implementation of data quality measures, such as validation and cleansing, to ensure the accuracy and reliability of data across all regions.
C
Data sovereignty is the principle that data is subject to the laws and governance structures of the country where it is collected, necessitating storage and processing within that country's borders to comply with local data protection laws.
D
Data sovereignty is about classifying data based on its sensitivity and applying retention policies to manage its lifecycle, without any geographical restrictions on storage or processing.