How to determine bias and variance for an infinite training data set?

Hi everyone,

I was going through some questions on machine learning, and got stuck on one of them. I hope I would be able to get an answer from the community members.

A training data of infinite data is given. For a fixed complexity model, which of the following are true?
a) Noise is zero
b) Bias is zero
c) Variance is 0
d) Training error is zero
e) Generalized error is 0.

Please help me select the answer for this one.

Any help would be appreciated. Thanks in advance!

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