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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?

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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
3 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
3 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
2 months ago
B) I prefer using machine learning to evaluate network faults.
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Pamela
3 months ago
A) SNMP is definitely a must-have for Wireless Assurance.
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Claudia
3 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
2 months ago
D) machine learning could potentially revolutionize the way we approach network fault evaluation.
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Lachelle
3 months ago
C) syslog analysis might provide valuable insights as well.
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Son
3 months ago
I think A) SNMP could also be a good choice for evaluating network faults.
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Maurine
4 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
3 months ago
I prefer using A) SNMP for evaluating network faults in Wireless Assurance.
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Kenia
3 months ago
I think D) machine learning could also be useful in Wireless Assurance.
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Abel
3 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
3 months ago
I prefer A) SNMP for evaluating network faults in Wireless Assurance.
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Adela
3 months ago
I think D) machine learning could also be useful in Wireless Assurance.
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Luther
3 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
4 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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Maryanne
3 months ago
C) syslog analysis can also provide valuable insights into network faults.
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Shenika
4 months ago
A) SNMP is still widely used for network monitoring and troubleshooting.
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Carey
4 months ago
I would go with D) machine learning, as it can also be used for predictive analysis in Wireless Assurance.
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Ruby
4 months ago
That makes sense, both SNMP and syslog analysis are commonly used for network fault evaluation.
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Lindsey
4 months ago
I believe it could also be C) syslog analysis.
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Ruby
4 months ago
I think the answer is A) SNMP.
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