Databricks Data Engineer Associate Question 476
Single answerYou are working on a Databricks project where sensitive customer data needs to be accessed only by authorized users. To ensure compliance with data governance requirements, which area of data governance should you prioritize?
- A
Data security
- B
Data quality
- C
Data lineage
- D
Data discovery
Show answer and explanation
Correct answer: A
Explanation
Data security is a critical area of data governance when dealing with sensitive customer data. It ensures that only authorized users can access the data, protecting it from unauthorized access and complying with regulatory requirements. While other areas of data governance, such as data quality, lineage, and discovery, are important, they do not directly address the issue of restricting access to sensitive data.
- A. Correct.
Data security involves implementing access controls, encryption, and other measures to ensure that sensitive data is only accessible to authorized users, making this the correct answer for protecting sensitive customer data.
- B. Incorrect.
Data quality focuses on ensuring the accuracy, completeness, and consistency of data, which is important but not directly related to restricting access to sensitive data.
- C. Incorrect.
Data lineage tracks the origin and transformation of data, which is useful for auditing and understanding data flow but does not address restricting access to sensitive data.
- D. Incorrect.
Data discovery helps in identifying and cataloging data assets, which can assist in governance but does not directly ensure that sensitive data is accessed only by authorized users.