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NEW QUESTION: 1
What is the basis for approving work results (signing act of acceptance) on a project phase level?
A. Agreed and met acceptance criteria within quality gate
B. Definition of ready for sprint
C. Scrum of scrums meeting decision
D. Definition of done for user story
Answer: A

NEW QUESTION: 2
A customer has an Aruba wireless netwofK with:
* Two 7205 Mobility Controllers (MCs) in a cluster - Each MC must be able to support the complete network in the case of an MC failure
* 250 APs. which support a total of 7.500 devices
* A virtual CxQCQ ClearPass appliance with 1QK Access licenses
* An MM-HW-1K appliance
The customer is interested in an upgrade to Aruba CX Switches, primarily to benefit from the per-user tunneled node feature. The customer requires support for 2500 ports, and 95 percent of wined endpoints will use tunneled node.
Which change to the existing solution should the architect explain?
A. A new controller will be required to support sufficient clients, including the wired ones.
B. A separate ClearPass virtual appliance will be required to integrate with the AQS-Switches
C. The Mobility Master will need more MM licenses to support the wired endpoints that use tunneled node.
D. The clustering feature will need to be disabled on the controllers, so that they can support tunneled node.
Answer: D

NEW QUESTION: 3
You need to configure the Feature Based Feature Selection module based on the experiment requirements and datasets.
How should you configure the module properties? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Mutual Information.
The mutual information score is particularly useful in feature selection because it maximizes the mutual information between the joint distribution and target variables in datasets with many dimensions.
Box 2: MedianValue
MedianValue is the feature column, , it is the predictor of the dataset.
Scenario: The MedianValue and AvgRoomsinHouse columns both hold data in numeric format. You need to select a feature selection algorithm to analyze the relationship between the two columns in more detail.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/filter-based-feature-selection