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NEW QUESTION: 1
Refer to Exhibit.

Which action do the switches take on the trunk link?
A. The trunk does not form, but VLAN 99 and VLAN 999 are allowed to traverse the link.
B. The trunk forms but VLAN 99 and VLAN 999 are in a shutdown state.
C. The trunk does not form and the ports go into an err-disabled status.
D. The trunk forms but the mismatched native VLANs are merged into a single broadcast domain.
Answer: D
Explanation:
Explanation
The trunk still forms with mismatched native VLANs and the traffic can actually flow between mismatched switches. But it is absolutely necessary that the native VLANs on both ends of a trunk link match; otherwise a native VLAN mismatch occurs, causing the two VLANs to effectively merge.
For example with the above configuration, SW1 would send untagged frames for VLAN 999. SW2 receives them but would think they are for VLAN 99 so we can say these two VLANs are merged.

NEW QUESTION: 2
Scenario:





1
5
9
20
54
224
Answer:
Explanation:
C

NEW QUESTION: 3
Which of the following is NOT true about onMeasure() method of class View?
A. When overriding this method, a developer must call setMeasuredDimension().
B. It is invoked by measure().
C. It measures the view and its contents to determine the measured width and height.
D. It takes three parameters: the height, width, and the depth of the view.
Answer: D

NEW QUESTION: 4
You have a comma-separated values (CSV) file containing data from which you want to train a classification model.
You are using the Automated Machine Learning interface in Azure Machine Learning studio to train the classification model. You set the task type to Classification.
You need to ensure that the Automated Machine Learning process evaluates only linear models.
What should you do?
A. Set the Exit criterion option to a metric score threshold.
B. Clear the option to enable deep learning.
C. Clear the option to perform automatic featurization.
D. Set the task type to Regression.
E. Add all algorithms other than linear ones to the blocked algorithms list.
Answer: C
Explanation:
Automatic featurization can fit non-linear models.
Reference:
https://econml.azurewebsites.net/spec/estimation/dml.html
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-automated-ml-for-ml-models