Marvis can detect bad cables easily by using cable data such as frame errors, link statistics, link errors, and traffic patterns.
https://www.juniper.net/documentation/us/en/software/mist/mist-aiops/topics/concept/layer1-actions.html#:~:text=When%20you%20click%20the%20Layer,see%20on%20the%20Actions%20dashboard.
D is correct. Mist DOES NOT run any active test to determine a bad cable. Watch the entire 1 Minute provided in the link below, also in the Juniper learning portal.
https://www.juniper.net/documentation/us/en/software/mist/marvis/topics/concept/layer1-actions.html
D is correct. Mist DOES NOT run any active test to determine a bad cable.
https://www.juniper.net/documentation/us/en/software/mist/marvis/topics/concept/layer1-actions.html
yes it does:
https://www.juniper.net/documentation/us/en/software/mist/marvis/topics/concept/layer1-actions.html
".... By performing its own cable tests and...."
--> B is correct
They changed the text in this document meanwhile. When I first checked it said "by performing its won cable tests.." now:
"Marvis can detect bad cables easily by using cable data such as frame errors, link statistics, link errors, and traffic patterns."
so yes, you could be right with D.
" Marvis can detect bad cables easily by using cable data such as frame errors, link statistics, link errors, and traffic patterns."
https://www.juniper.net/documentation/us/en/software/mist/marvis/topics/concept/layer1-actions.html
https://www.juniper.net/documentation/us/en/software/mist/marvis/topics/concept/layer1-actions.html
".... By performing its own cable tests and...."
--> B is correct
SNMP definitely not, because Mist is connected to the switches via pyAgent. Since Marvis uses product data for analysis, my opinion is "D" - machine learning
Hard to answer, because it monitors AP, Switch and so on. But I would say B, its a layer1 problem.
https://www.juniper.net/documentation/us/en/software/mist/marvis/topics/concept/layer1-actions.html
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Varshadas
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