Databricks Certified Generative AI Engineer - Associate
Get started today
Ultimate access to all questions.
Question: 6
You are working with a large-scale dataset on Databricks that includes personal information. You are required to mask sensitive information while ensuring query performance remains optimal for reporting. Which of the following techniques should you consider to meet both security and performance objectives? (Select two)
Real Exam
Community
LLeetQuiz
Explanation:
Correct Answers: C and E
Explanation:
-
C. Using Databricks' Optimized Writes to Minimize Performance Impact of Masking
Optimized writes help reduce the overhead involved in writing data, ensuring that the performance impact of applying data masking is minimized while still securing sensitive information. -
E. Creating Materialized Views with Masking Logic Pre-applied
By creating materialized views that have masking logic applied, you can ensure sensitive information is protected while maintaining optimal query performance. The views precompute the masked data, making reporting queries faster.
Why other options are incorrect:
- A: Avoiding masking defeats the security objective of protecting sensitive information
- B: Z-Order indexing helps with query performance but doesn't directly address the masking performance impact
- D: Pass-through authentication is about identity management, not data masking performance optimization
Comments
Loading comments...