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NEW QUESTION: 1
.
A female college soccer player weighs 108 lbs and is 5'5 tall. She has recently become a vegan and relates that she feels she is overweight and intends to lose a few more pounds. You have not noticed any decrease in her on field performance. As the strength and conditioning professional, which of the following is the most appropriate action to take with this athlete?
A. Tell her that she looks fine
B. Monitor her caloric intake
C. Refer her to a dietician
D. Give her nutritional information
Answer: C

NEW QUESTION: 2
What are the number of train stops available in the Benefits Enrollment self-service page for plan/program enrollment?
A. 0
B. The number of train stops can be configured.
C. 1
D. 2
Answer: B

NEW QUESTION: 3
An administrator wants Aps to boot and discover the master controller in a master-local topology. After connect to the master, the Aps will connect to the appropriate local controller based on the AP Group configuration. DNS will be used to discover the master controller's IP address?
A. activate.arubanetworks.com
B. aruba-master.company.com
C. master.company.com
D. aruba-discovery company.com
Answer: B

NEW QUESTION: 4
You need to select a feature extraction method.
Which method should you use?
A. Kendall correlation
B. Mutual information
C. Mood's median test
D. Permutation Feature Importance
Answer: A
Explanation:
Explanation/Reference:
Explanation:
In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter τ), is a statistic used to measure the ordinal association between two measured quantities.
It is a supported method of the Azure Machine Learning Feature selection.
Scenario: When you train a Linear Regression module using a property dataset that shows data for property prices for a large city, you need to determine the best features to use in a model. You can choose standard metrics provided to measure performance before and after the feature importance process completes. You must ensure that the distribution of the features across multiple training models is consistent.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/feature-selection- modules Question Set 3