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NEW QUESTION: 1
You need to select a feature extraction method.
Which method should you use?
A. Mood's median test
B. Mutual information
C. Kendall correlation
D. Permutation Feature Importance
Answer: C
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
NEW QUESTION: 2
Which function is provided by the SCVMM plug-in for ViPR?
A. Protection of RDM disks to the VM
B. Visibility into ViPR virtual pools
C. Host and cluster services
D. Association of virtual pools to storage groups
Answer: C
NEW QUESTION: 3
You need a cube that tracks the performance and degree of automation that is associated with business
processes in your organization. Which cube should you use?
A. Budget control cube
B. Workflow cube
C. Project accounting cube
D. Expense management cube
Answer: B
NEW QUESTION: 4
A calculation view consumes the data sources shown in the graphic. You want to identify which companies sold products in January 2018 AND Februa ry 2018. What is the optimalway to do this?
A. Use a full outer join.
B. Use an intersect node
C. Use a union node.
D. Use an left outerjoin.
Answer: C