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NEW QUESTION: 1
An engineer notices that too many prefixes are being sent from the CE to PE. To try to reduce the number of prefixes that the CE is sending, the engineer wants to summarize these prefixes: 192.168.0.0/24,
192.168.1.0/24, 192.168.2.0/23 and 192.168.4.0/22. Which summary route covering four prefixes results in the smallest prefix length?
A. 192.168.0.0/20
B. 192.168.0.0/22
C. 192.168.0.0/19
D. 192.168.0.0/21
Answer: A
NEW QUESTION: 2
A user wants to try the desktop cloud but has not formally purchased a commercial license, so there is no need to build a license server. Use the default Recognized license can.
A. Wrong
B. Yes
Answer: A
NEW QUESTION: 3
You are producing a multiple linear regression model in Azure Machine Learning Studio.
Several independent variables are highly correlated.
You need to select appropriate methods for conducting effective feature engineering on all the data.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Use the Filter Based Feature Selection module
Filter Based Feature Selection identifies the features in a dataset with the greatest predictive power.
The module outputs a dataset that contains the best feature columns, as ranked by predictive power. It also outputs the names of the features and their scores from the selected metric.
Step 2: Build a counting transform
A counting transform creates a transformation that turns count tables into features, so that you can apply the transformation to multiple datasets.
Step 3: Test the hypothesis using t-Test
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selec
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform