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HPE AI and Machine Learning Sample Questions (Q25-Q30):

NEW QUESTION # 25
How does the availability of advanced features compare between HPE Machine Learning solutions and open-source versions?
Response:

A. Open-source versions typically have more advanced features
B. Neither offers advanced features
C. HPE often includes more advanced, enterprise-level features
D. Both provide the same level of advanced features

Answer: C

NEW QUESTION # 26
The unique feature of HPE''s Machine Learning Development Environment is its ability to:
Response:

A. Help build and train ML models efficiently
B. Support high-volume e-commerce transactions
C. Manage corporate finance systems

Answer: A

NEW QUESTION # 27
What does ''ensemble learning'' refer to in ML?
Response:

A. Learning from a single model
B. Training models sequentially
C. A method for data preprocessing
D. Combining predictions from multiple models

Answer: D

NEW QUESTION # 28
What is the role of a hidden layer in an artificial neural network (ANN)?
Response:

A. It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.
B. It ingresses parameters from a record and passively reformats those parameters without any changes over the training process.
C. It assigns the label to a record, or in other words, produces the final result for the ANN.
D. It receives and weighs inputs from the preceding layer and produces outputs for the next layer.

Answer: D

NEW QUESTION # 29
Why are loyalty programs an effective tool in customer engagement?
Response:

A. They have no impact on customer behavior
B. They offer rewards and incentives for customer loyalty
C. They are only beneficial for high-spending customers
D. They discourage repeat purchases

Answer: B

NEW QUESTION # 30
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