Databricks Certified Machine Learning - Associate

Get started today

Ultimate access to all questions.

Quick Answer

Answer-first summary for fast verification

Answer: hp.qloguniform(label, low, high, q)

The correct answer is **B. hp.qloguniform(label, low, high, q)**. This function generates a random value from a log-uniform distribution within specified bounds and quantizes it by rounding to a multiple of `q`, closely matching the described formula's behavior. Other options do not fully replicate the formula's steps involving exponentiation, rounding, or quantization.

Author: LeetQuiz Editorial Team

Quick Answer

Answer-first summary for fast verification

Answer: hp.qloguniform(label, low, high, q)

Author: LeetQuiz Editorial Team

Comments (0)

No comments yet.

Which Hyperopt function returns a value similar to `round(exp(normal(mu, sigma)) / q) * q`?

Real Exam

hp.normal(label, mu, sigma)

13.2%

hp.qloguniform(label, low, high, q)

43.4%

hp.lognormal(label, mu, sigma)

28.3%

hp.quniform(label, low, high, q)

15.1%

Databricks Certified Machine Learning - Associate

Get started today

Quick Answer

Quick Answer

Comments (0)

Get started today

Which Hyperopt function returns a value similar to round(exp(normal(mu, sigma)) / q) * q?

Comments (0)

Which Hyperopt function returns a value similar to `round(exp(normal(mu, sigma)) / q) * q`?