Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

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?

Show Suggested Answer Hide 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

Limited Time Offer

25%

Off

Get Premium JN0-252 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Glendora
11 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!
upvoted 0 times
...
Glory
11 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?
upvoted 0 times
Erasmo
10 months ago
B) I prefer using machine learning to evaluate network faults.
upvoted 0 times
...
Pamela
10 months ago
A) SNMP is definitely a must-have for Wireless Assurance.
upvoted 0 times
...
...
Claudia
11 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!
upvoted 0 times
Tamra
10 months ago
D) machine learning could potentially revolutionize the way we approach network fault evaluation.
upvoted 0 times
...
Lachelle
10 months ago
C) syslog analysis might provide valuable insights as well.
upvoted 0 times
...
Son
10 months ago
I think A) SNMP could also be a good choice for evaluating network faults.
upvoted 0 times
...
...
Maurine
12 months ago
I'd say C) syslog analysis. Nothing beats good ol' fashioned log parsing to uncover those pesky network gremlins.
upvoted 0 times
Sylvie
10 months ago
I prefer using A) SNMP for evaluating network faults in Wireless Assurance.
upvoted 0 times
...
Kenia
11 months ago
I think D) machine learning could also be useful in Wireless Assurance.
upvoted 0 times
...
Abel
11 months ago
I'd say C) syslog analysis. Nothing beats good ol' fashioned log parsing to uncover those pesky network gremlins.
upvoted 0 times
...
Asuncion
11 months ago
I prefer A) SNMP for evaluating network faults in Wireless Assurance.
upvoted 0 times
...
Adela
11 months ago
I think D) machine learning could also be useful in Wireless Assurance.
upvoted 0 times
...
Luther
11 months ago
I'd say C) syslog analysis. Nothing beats good ol' fashioned log parsing to uncover those pesky network gremlins.
upvoted 0 times
...
...
Vannessa
12 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!
upvoted 0 times
Maryanne
11 months ago
C) syslog analysis can also provide valuable insights into network faults.
upvoted 0 times
...
Shenika
11 months ago
A) SNMP is still widely used for network monitoring and troubleshooting.
upvoted 0 times
...
...
Carey
12 months ago
I would go with D) machine learning, as it can also be used for predictive analysis in Wireless Assurance.
upvoted 0 times
...
Ruby
12 months ago
That makes sense, both SNMP and syslog analysis are commonly used for network fault evaluation.
upvoted 0 times
...
Lindsey
1 years ago
I believe it could also be C) syslog analysis.
upvoted 0 times
...
Ruby
1 years ago
I think the answer is A) SNMP.
upvoted 0 times
...

Save Cancel