Cloudera Exam DS-200 Topic 1 Question 1 Discussion

Actual exam question for Cloudera's DS-200 exam

Question #: 1
Topic #: 1

What is the best way to determine the learning rate parameters for stochastic gradient descent when the distribution of the input data shifts over time?

AThe learning rate should be adjusted periodically based on the setting that optimizes the objective function over a sample of recent observations

BThe learning rate should be fixed number that decays as the number of observations in the data set increases

CThe learning rate should be the value that optimizes the value of the objective function over the first N samples in the dataset

DThe learning rate should be a fixed number with a constant decay factor

EThe learning rate should be continuously adjusted based on the value that optimizes the objective function for the most recent observation from the input data

Show Suggested Answer

Suggested Answer: C

by Bulah at Oct 27, 2022, 07:53 AM

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