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NEW QUESTION 26
Where does TensorFlow fit in the ML/DL Lifecycle?

• A. It is primarily used to transport trained models to a deployment environment.
• B. it provides pipelines to manage the complete lifecycle.
• C. it helps engineers use a language like Python to code and trail DL models.
• D. It adds system and GPU monitoring to the training process.

Answer: C

NEW QUESTION 27
You want to open the conversation about HPE Machine Learning Development Environment with an IT contact at a customer. What can be a good discovery question?

• A. What frustrations do you have with existing ML deployment and differencing solutions?
• B. How much time do you spend managing the ML infrastructure?
• C. How much do you understand about building ML and DL models?
• D. How long does it currently take for a DL training to run the backward pass?

Answer: D

NEW QUESTION 28
What common challenge do ML teams lace in implementing hyperparameter optimization (HPO)?

• A. They cannot implement HPO on TensorFlow models, so they must move their models to a new framework.
• B. HPO is a joint ml and IT Ops effort, and engineers lack deep enough integration with the IT team.
• C. ML teams struggle to find large enough data sets to make HPO feasible and worthwhile.
• D. Implementing HPO manually can be time-consuming and demand a great deal of expertise.

Answer: B

NEW QUESTION 29
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