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HPE AI and Machine Learning Sample Questions:

1. What is ''bias'' in the context of ML?
Response:

A) The programming language used to build a model
B) A model,s preference for certain data
C) The cost of deploying a model
D) The storage capacity required for a model

2. In terms of customization, how do HPE Machine Learning solutions compare to open-source versions?
Response:

A) HPE solutions offer less customization
B) HPE solutions are not customizable
C) Both offer similar levels of customization
D) Open-source versions are less customizable

3. In ML, ''feature selection'' is important for:
Response:

A) Enhancing data storage efficiency
B) All of the above
C) Improving model interpretability
D) Reducing computational requirements

4. What is a key feature of HPE Ezmeral Unified Analytics Software?
Response:

A) Email marketing tools
B) Consistent SaaS experience
C) Social media analytics
D) Graphic design capabilities

5. Adequate data storage is necessary for machine learning. This storage should be:
Response:

A) Minimal, as ML models require little data
B) Limited to cloud storage only
C) Restricted to local storage only
D) Scalable to handle large datasets

Solutions: