HP Exam HPE2-N69 Topic 7 Question 17 Discussion

Actual exam question for HP's HPE2-N69 exam

Question #: 17
Topic #: 7

[All HPE2-N69 Questions]

What common challenge do ML teams lace in implementing hyperparameter optimization (HPO)?

AHPO is a joint ml and IT Ops effort, and engineers lack deep enough integration with the IT team.

BThey cannot implement HPO on TensorFlow models, so they must move their models to a new framework.

CImplementing HPO manually can be time-consuming and demand a great deal of expertise.

DML teams struggle to find large enough data sets to make HPO feasible and worthwhile.

Show Suggested Answer

Suggested Answer: C

Implementing hyperparameter optimization (HPO) manually can be time-consuming and demand a great deal of expertise. HPO is not a joint ML and IT Ops effort and it can be implemented on TensorFlow models, so these are not the primary challenges faced by ML teams. Additionally, ML teams often have access to large enough data sets to make HPO feasible and worthwhile.

by Peggie at Jul 07, 2023, 06:39 PM

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