Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?

The correct answer is C. Data for the use case is being generated at a fast pace. Challenges for Acquiring Test Data in ML Systems: Compliance needs, the changing nature of data over time, and sourcing data from public sources are significant challenges. Data being generated quickly is generally not a challenge; it can actually be beneficial as it provides…

Testing, Debugging, and Deployment

Question

Options

ACompliance needs require proper care to be taken of input personal data.
BNature of data constantly changes with lime.
CData for the use case is being generated at a fast pace.
DTest data being sourced from public sources.

How the community answered

(47 responses)

A
4% (2)
B
13% (6)
C
81% (38)
D
2% (1)

Explanation

Challenges for Acquiring Test Data in ML Systems: Compliance needs, the changing nature of data over time, and sourcing data from public sources are significant challenges. Data being generated quickly is generally not a challenge; it can actually be beneficial as it provides more data for training and testing.

Topics

#test data acquisition#compliance#data pipeline#ML testing

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