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A team of socio-economic researchers is analyzing documents where personally identifying information has been redacted. They are concerned about the potential re-identification of individuals through quasi-identifiers like age and postal code. What method can they use to quantify this risk?
A
Utilize a custom machine learning model designed to estimate the risk of re-identification.
B
Count the occurrences of quasi-identifiers using Data Loss Prevention infotypes as a measure of risk.
C
Conduct a re-identification risk analysis with the Data Loss Prevention service for accurate risk assessment.
D
Apply a re-identification infotype to each document containing quasi-identifiers to evaluate risk levels.