Juniper Exam JN0-252 Topic 3 Question 5 Discussion

Actual exam question for Juniper's JN0-252 exam

Question #: 5
Topic #: 3

[All JN0-252 Questions]

What is used in Wireless Assurance to evaluate Information about possible network faults?

ASNMP

Btcpdump

Csyslog analysis

Dmachine learning

Show Suggested Answer

Suggested Answer: D

Machine Learning in Wireless Assurance: Mist's Wireless Assurance uses machine learning to analyze telemetry data and identify potential network issues. This approach allows for proactive identification and resolution of faults, improving overall network reliability and performance.

Juniper Networks Documentation

by Ezekiel at Jul 07, 2024, 08:15 PM

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Glendora

10 months ago

D) machine learning? Sounds like the network team is getting a little too fancy for their own good. I'll stick with C) syslog analysis - it may be old school, but it gets the job done!

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Glory

10 months ago

A) SNMP all the way, baby! It's the network admin's best friend. Plus, who doesn't love a good ol' fashioned MIB walk?

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Erasmo

9 months ago

B) I prefer using machine learning to evaluate network faults.

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Pamela

9 months ago

A) SNMP is definitely a must-have for Wireless Assurance.

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Claudia

10 months ago

Hmm, tough choice. I'd go with B) tcpdump. Nothing like a good old-fashioned packet sniff to get to the bottom of things. Just don't get lost in the TCP/IP haystack!

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Tamra

9 months ago

D) machine learning could potentially revolutionize the way we approach network fault evaluation.

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Lachelle

9 months ago

C) syslog analysis might provide valuable insights as well.

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Son

9 months ago

I think A) SNMP could also be a good choice for evaluating network faults.

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Maurine

10 months ago

I'd say C) syslog analysis. Nothing beats good ol' fashioned log parsing to uncover those pesky network gremlins.

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Sylvie

9 months ago

I prefer using A) SNMP for evaluating network faults in Wireless Assurance.

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Kenia

9 months ago

I think D) machine learning could also be useful in Wireless Assurance.

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Abel

9 months ago

I'd say C) syslog analysis. Nothing beats good ol' fashioned log parsing to uncover those pesky network gremlins.

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Asuncion

9 months ago

I prefer A) SNMP for evaluating network faults in Wireless Assurance.

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Adela

10 months ago

I think D) machine learning could also be useful in Wireless Assurance.

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Luther

10 months ago

I'd say C) syslog analysis. Nothing beats good ol' fashioned log parsing to uncover those pesky network gremlins.

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Vannessa

11 months ago

D) machine learning, of course! The future is all about AI-powered network diagnostics. Forget those old-school tools, this is where the real magic happens!

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