712-50 · Question #39
A security officer wants to implement a vulnerability scanning program. The officer is uncertain of the state of vulnerability resiliency within the organization's large IT infrastructure. What…
The correct answer is A. Scan a representative sample of systems. Scanning a representative sample of systems gives you statistically valid insight into your vulnerability posture without the noise and volume of scanning every device - it's the standard technique when assessing a large, unknown environment efficiently. Option B (off-hours…
Question
A security officer wants to implement a vulnerability scanning program. The officer is uncertain of the state of vulnerability resiliency within the organization's large IT infrastructure. What would be the BEST approach to minimize scan data output while retaining a realistic view of system vulnerability?
Options
- AScan a representative sample of systems
- BPerform the scans only during off-business hours
- CDecrease the vulnerabilities within the scan tool settings
- DFilter the scan output so only pertinent data is analyzed
How the community answered
(51 responses)- A82% (42)
- B6% (3)
- C2% (1)
- D10% (5)
Explanation
Scanning a representative sample of systems gives you statistically valid insight into your vulnerability posture without the noise and volume of scanning every device - it's the standard technique when assessing a large, unknown environment efficiently. Option B (off-hours scanning) reduces operational disruption but does nothing to reduce data volume or improve representativeness. Option C is a trap - decreasing sensitivity in the scan tool means you'll miss real vulnerabilities, giving you an unrealistic (not just smaller) view. Option D (filtering output after the fact) still generates the full scan dataset; you're just ignoring some of it, which doesn't truly minimize output and risks discarding meaningful findings.
Memory tip: Think of it like a political poll - you don't survey every citizen to understand public opinion; you survey a representative sample. Same logic applies here: sample → smaller data, still accurate picture.
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