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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
Certificate Validity Period:3 years
Related Certifications:JNCIP-MistAI
JNCIS-MistAI-Wireless
JNCIA-MistAI
JNCIS-MistAI-Wired
Exam Format:Multiple-choice
Available Languages:English
Exam Duration:90 minutes
Passing Score:Pass/Fail (Approx. 60-70%)
Exam Price:$200 USD
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
  • 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 2
  • 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.
Topic 3
  • Juniper Mist Cloud Operations: This domain covers three API types (RESTful, WebSocket, Webhook) for programmatic integration, plus support resources including ticketing systems and documentation.
Topic 4
  • 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.

Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q142-Q147):

NEW QUESTION # 142
In the context of Juniper Mist, which two statements describe a bad user minute? (Choose two.)

Answer: A,B

Explanation:
A bad user minute normalizes a user's negative network experience into a measurable metric.
It is calculated as the number of affected users multiplied by the number of minutes they are affected, giving a quantifiable measure of user impact.


NEW QUESTION # 143
Which two features does a Marvis VNA subscription add to the support ticket creation experience? (Choose two.)

Answer: A,C

Explanation:
In-context AI-assisted troubleshooting provides guidance directly within the ticket creation workflow to help identify and resolve issues.
AI-generated responses suggest potential solutions automatically based on historical data and Mist AI insights.


NEW QUESTION # 144
Which data format is used for exchanging data with the Juniper Mist REST API?

Answer: A

Explanation:
The Juniper Mist REST API uses JSON as the data format for both requests and responses, enabling standardized, lightweight data exchange with external applications.


NEW QUESTION # 145
What is the purpose of Audit Logs in Juniper Mist?

Answer: C

Explanation:
The purpose of Audit Logs in Juniper Mist is to record administrative activities within the Mist dashboard.
According to the official Juniper Mist documentation: "Audit Logs provide a detailed chronological record of each configuration change, administrative action, and user activity within the Mist Cloud portal. These logs include information such as the action performed (e.g., adding or removing sites, devices, or users), the timestamp, and the user who performed the action. Audit Logs are critical for accountability, compliance, and troubleshooting, enabling administrators to trace changes and ensure that only authorized users are making modifications to their network settings. Mist stores audit log records securely and makes them accessible for review by organization administrators from the dashboard's Organization > Audit Logs section." This directly aligns with option C, as the logs primarily track configuration changes and administrative actions-not performance events, security alerts, or SLE violations. Such activities include site creation, modification, device assignment, role changes, and other user or configuration updates.
Reference: Juniper Mist Documentation - Audit Logs and Organization Management, Mist AI Study Guide.


NEW QUESTION # 146
Which two components make up a self-driving AI network? (Choose two.)

Answer: A,D

Explanation:
A self-driving AI network is comprised of two foundational components: actions and telemetry. According to Juniper's own communications, "Marvis AI analyzes telemetry across the wired, wireless, WAN and data center domains, and creates automated workflows to simplify operations and lower costs. Agentic AI:
Accelerating self-driving operations." Telemetry provides real-time continuous data and metrics from the network, including client, device, and application health, enabling the AI engine to build a current, actionable state model. Actions refer to proactive, automated tasks performed by the AI, such as remediating misconfigured ports, resolving anomalies, optimizing performance, and self-healing operations-"Expanded Self-Driving Actions... the Marvis Actions dashboard now supports the autonomous remediation of more network issues." Human interface and support tickets are beneficial for management and support, but the core capabilities of a self-driving AI network are telemetry (data/observability) and actions (automation
/remediation).
Reference:HPE Juniper Networking Self-Driving Network Overview


NEW QUESTION # 147
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