Rely on keywords, regular expressions, metadata tags, Bayesian analysis and statistical analysis to guess what files should be protected under the DLP program. Which method is this?

• A. Precise Methods
• B. Data Loss Prevention (DLP) Endpoint Software
• C. Imprecise Method
• D. Network Flow (NetFlow)

Answer: (C)

This item tests how data protection decisions in a DLP program can be driven by probabilistic cues rather than exact data identifiers. Relying on keywords, regular expressions, metadata tags, Bayesian analysis, and statistical analysis means you’re inferring which files should be protected based on patterns and likelihoods rather than deterministically knowing the content. Because these signals provide estimates rather than certainty, the method is imprecise: it may catch many sensitive items but also miss some or include harmless ones, depending on thresholds and data characteristics. Precise methods would rely on exact content fingerprints or strict classifications that unambiguously identify sensitive data. The other options don’t describe a decision method: a DLP endpoint software is a tool category, and NetFlow pertains to network traffic, not file-level protection decisions.