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HPE AI and Machine Learning Sample Questions:

1. In terms of computational requirements, machine learning solutions generally need:
Response:

A) The same level of computation as basic web browsing
B) Computational power only for model deployment
C) Minimal computational power
D) Significant computational resources for processing and analysis

2. In the context of the HPE ML PDK, what does scalability refer to?
Response:

A) The geographic distribution of the servers
B) The physical size of the hardware
C) The number of users that can use the kit simultaneously
D) The kit,s ability to handle increasing computational loads

3. What type of processing power is generally recommended for effective machine learning computation?
Response:

A) Standard dual-core processors
B) Single-core processors
C) High-performance multi-core processors
D) Basic quad-core processors

4. What is a key feature of the HPE ML PDK in terms of data handling?
Response:

A) Exclusive support for HPE data formats
B) Limited to small datasets
C) Compatibility with various data formats
D) No support for real-time data processing

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

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

Solutions: