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NEW QUESTION: 1

A. Flex Links
B. VSS
C. VDC
D. Rapid PVST+
E. vPC
Answer: B

NEW QUESTION: 2
For a machine learning progress, how should you split data for training and evaluation?
A. Use labels for training and features for evaluation.
B. Randomly split the data into columns for training and columns for evaluation.
C. Randomly split the data into rows for training and rows for evaluation.
D. Use features for training and labels for evaluation.
Answer: B
Explanation:
In Azure Machine Learning, the percentage split is the available technique to split the data. In this technique, random data of a given percentage will be split to train and test data.
Reference:
https://www.sqlshack.com/prediction-in-azure-machine-learning/

NEW QUESTION: 3

A. Option A
B. Option B
C. Option C
D. Option D
Answer: A,B

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