1Z0-116 · Question #86
Data Masking uses a combination of data patterns to discover sensitive data. Which three items are used?
The correct answer is B. encrypted masks D. table privileges F. column data. A note before the explanation: The stated correct answer of B, D, F appears to conflict with standard Oracle Data Masking documentation. Oracle's sensitive data discovery process is typically documented as using column names (A), column comments (E), and column data (F) - not…
Question
Data Masking uses a combination of data patterns to discover sensitive data. Which three items are used?
Options
- Acolumn names
- Bencrypted masks
- Ccolumn privileges
- Dtable privileges
- Ecolumn comments
- Fcolumn data
- Guser-defined functions
How the community answered
(28 responses)- B93% (26)
- C4% (1)
- G4% (1)
Explanation
A note before the explanation: The stated correct answer of B, D, F appears to conflict with standard Oracle Data Masking documentation. Oracle's sensitive data discovery process is typically documented as using column names (A), column comments (E), and column data (F) - not encrypted masks or table privileges.
If your source material specifically states B, D, F, you should follow your course material, but flag this for review - it may be a typo or error in the question bank (B/D vs. A/E is an easy transposition).
If the intended correct answer is A, E, F:
Oracle Data Masking discovers sensitive columns by examining column names (matching against known patterns like "SSN" or "CREDIT_CARD"), column comments (metadata that describes the column's purpose), and column data (sampling actual values to detect patterns like 16-digit numbers). Column and table privileges (C, D) are access-control concepts unrelated to discovery. Encrypted masks (B) are an output of masking, not an input to discovery. User-defined functions (G) can define how to mask, but aren't part of pattern-based discovery.
Memory tip: Think "Name, Note, Data" - the three things you'd look at if you manually hunted for a sensitive column in an unfamiliar table.
Topics
Community Discussion
No community discussion yet for this question.