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Juniper JN0-253 Exam Overview:

Certification Vendor:Juniper
Exam Name:Mist AI, Associate (JNCIA-MistAI)
Exam Number:JN0-253
Real Exam Qty:65
Exam Duration:90 minutes
Exam Format:Multiple-choice
Exam Price:$200 USD
Passing Score:Pass/Fail (Approx. 60-70%)
Certificate Validity Period:3 years
Related Certifications:JNCIS-MistAI-Wired
JNCIS-MistAI-Wireless
JNCIP-MistAI
JNCIA-MistAI
Available Languages:English
Sample Questions:Juniper JN0-253 Sample Questions
Exam Way:Pearson VUE (testing center or online)
Pre Condition:None
Official Syllabus URL:https://www.juniper.net/us/en/training/certification/tracks/mist-ai/jncia-mistai.html

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Juniper JN0-253 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Marvis Virtual Network Assistant AI: This domain introduces Marvis, an AI-powered assistant providing automated troubleshooting through intelligent actions, natural language queries, and specialized analytical tools for proactive issue resolution.
Topic 2
  • Juniper Mist Monitoring and Analytics: This domain focuses on monitoring tools including service-level expectations, packet captures, AI-driven insights, automated alerts, and audit logs for comprehensive network visibility.
Topic 3
  • Location-based Services: This domain presents virtual Bluetooth Low Energy capabilities for asset tracking, visibility, and location-aware experiences that extend networking into physical space management.
Topic 4
  • Juniper Mist Network Operations and Management: This domain examines operational features across Wi-Fi, Wired, WAN, Routing, and Access Assurance, delivering specialized management capabilities for different network infrastructure layers.

Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q94-Q99):

NEW QUESTION # 94
Which Juniper Mist feature provides application forwarding path details?

Answer: C

Explanation:
Forwarding Insights in Juniper Mist provides detailed visibility into the application forwarding path, helping administrators understand how traffic is routed and troubleshoot path-related issues.


NEW QUESTION # 95
Which statement is correct about the SLE dashboard?

Answer: C

Explanation:
In the SLE dashboard, Service Level Expectations (SLEs) are shown as a percentage of success to highlight how well the network is performing. On the other hand, classifiers are displayed as a percentage of failure to indicate areas where issues are occurring and need attention. This approach helps provide a clear understanding of both overall performance and problem areas.


NEW QUESTION # 96
You have five clients on the network and 20 minutes of statistics for each client.
In this scenario, how many user minutes does this equal?

Answer: C

Explanation:
Identify the Scenario: Five clients on the network and 20 minutes of statistics for each client.
Calculation:
User Minutes = 100.
Conclusion:
The total user minutes in this scenario is 100.


NEW QUESTION # 97
Setting the correct time zone for a Mist site provides which benefit?

Answer: A

Explanation:
Time Zone Importance: Setting the correct time zone for a Mist site ensures that all events and logs are timestamped accurately according to the local time of the site. This is crucial for effective monitoring and troubleshooting.
Facilitation of Troubleshooting: By aligning event timestamps with the local time, network administrators can correlate events more easily with specific incidents reported by users, thereby simplifying the troubleshooting process.


NEW QUESTION # 98
Which statement is correct about Service Level Expectations (SLEs) in Juniper Mist?

Answer: A

Explanation:
Service Level Expectations (SLEs) in Juniper Mist are AI-driven metrics that quantify the end-user network experience across dimensions such as Time to Connect, Successful Connects, Throughput, Roaming, and Coverage. Each SLE can be broken down into classifiers and sub- classifiers to help pinpoint the root cause of any degradation.


NEW QUESTION # 99
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