An employee wants a consulting company to procure a data set that contains age, ethnicity, and diabetes status. During development, the employer wants to ensure the integrity of the data. Which of…

The correct answer is A. Implementing checksums. Checksums ensure data integrity by detecting any unauthorized or accidental changes to the dataset. This provides a reliable way to confirm that sensitive attributes such as age, ethnicity, and diabetes status remain unaltered during development.

Security Architecture and Tool Sets

Question

An employee wants a consulting company to procure a data set that contains age, ethnicity, and diabetes status. During development, the employer wants to ensure the integrity of the data. Which of the following is the best strategy to accomplish this task?

Options

AImplementing checksums
BConducting human evaluation
CQuerying the model
DEnabling log monitoring

How the community answered

(48 responses)

A
85% (41)
B
8% (4)
C
4% (2)
D
2% (1)

Explanation

Checksums ensure data integrity by detecting any unauthorized or accidental changes to the dataset. This provides a reliable way to confirm that sensitive attributes such as age, ethnicity, and diabetes status remain unaltered during development.

Topics

#data integrity#checksums#ML dataset security#data validation

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