New Juniper JN0-253 Exam Format, Valid JN0-253 Exam Objectives

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Juniper JN0-253 Exam Overview:

Certification Vendor:Juniper
Exam Name:Mist AI, Associate (JNCIA-MistAI)
Exam Number:JN0-253
Exam Format:Multiple-choice
Real Exam Qty:65
Related Certifications:JNCIP-MistAI
JNCIA-MistAI
JNCIS-MistAI-Wireless
JNCIS-MistAI-Wired
Certificate Validity Period:3 years
Exam Duration:90 minutes
Passing Score:Pass/Fail (Approx. 60-70%)
Available Languages:English
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 Configuration Basics: This domain addresses initial setup including user accounts, device onboarding, organizational structures, subscription licensing, certificate management, and automated provisioning with labels and policies.
Topic 2
  • Juniper Mist Cloud Fundamentals: This domain covers Juniper's cloud-native platform architecture, focusing on AI and machine learning capabilities for intelligent network management and real-world deployment scenarios.
Topic 3
  • 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 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.
Topic 5
  • 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.

Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q144-Q149):

NEW QUESTION # 144
What does the icon in the lower-right corner of the exhibit do in the Mist UI?

Answer: D


NEW QUESTION # 145
Which two statements correctly describe the provisioning of greenfield and brownfield switches using the Mist UI? (Choose two.)

Answer: A,B

Explanation:
Greenfield switches: These are new switches that have not been previously configured or managed. They are typically provisioned using the "Claim Switches" button, as they need to be initially claimed and added to the Mist environment.
Brownfield switches: These are existing switches that have been configured and managed using a different system. They are typically provisioned using the "Adopt Switches" button, as they need to be adopted into the Mist environment while preserving their existing configuration.


NEW QUESTION # 146
Which two Wi-Fi related SLEs are visible in the Mist UI? (Choose two.)

Answer: A,C

Explanation:
Wi-Fi Related SLEs in Mist UI:
SLEs (Service Level Expectations) help monitor and ensure Wi-Fi network performance.
Visible SLEs:
Capacity:
Capacity SLE monitors the network's ability to handle the number of connected clients and their bandwidth requirements.
Throughput:
Throughput SLE measures the data transfer rates, ensuring that the network meets the expected performance levels.


NEW QUESTION # 147
Which two components make up a self-driving AI network? (Choose two.)

Answer: B,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 # 148
Which parameter is beyond the scope of the Connectivity category when troubleshooting with Marvis Actions?

Answer: B

Explanation:
The Connectivity category in Marvis Actions focuses on client onboarding and connection issues such as authentication, DHCP, and DNS failures. A duplex mismatch is a wired link-layer issue and falls outside the scope of Connectivity troubleshooting.


NEW QUESTION # 149
......

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