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Juniper JN0-253 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 5	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.

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Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q114-Q119):

NEW QUESTION # 114
Which statement about microservices is correct?

A. Microservices communicate with each other using APIs.
B. Microservices must share a common database to ensure data integrity.
C. Microservices are designed to be dependent on each other to ensure that if one process fails, the remaining processes will not continue to operate.
D. Microservices are developed as a suite of applications and rely on developers to deliver updates to the entire suite at once.

Answer: A

Explanation:
Microservices are independent, loosely coupled services that interact through APIs. This design allows each service to be developed, deployed, and scaled independently while still functioning cohesively as part of a larger application.

NEW QUESTION # 115
Under which category would you identify bad cables using Marvis Actions?

A. Connectivity
B. Layer 1
C. security
D. Clients

Answer: B

Explanation:
Bad cables are identified under the Layer 1 category within Marvis Actions. Juniper Mist's documentation states: "Use the Actions dashboard to resolve Layer 1 issues. When you click the Layer 1 button on the Action dashboard, all available Layer 1 actions appear. This category currently contains only one action: bad cable." Marvis can detect and alert for bad cables based on frame errors, link statistics, and AP/Switch behavior, all under the Layer 1 category. Connectivity, security, and client issues are handled under their respective action categories, but bad cabling is specifically monitored and detected as a physical (Layer 1) fault.
Reference:Layer 1 Actions | Mist , Marvis AI Operations Guide

NEW QUESTION # 116
Which Juniper Mist location-based service improves accuracy?

A. Wi-Fi location
B. asset visibility
C. User Engagement
D. proximity detection

Answer: C

Explanation:
User Engagement leverages Juniper's vBLE technology to deliver high-accuracy, real-time location services for mobile users, providing better precision than standard Wi-Fi location or proximity detection.

NEW QUESTION # 117
How does Marvis detect a bad cable problem?

A. Marvis analyzes metrics, such as interface errors, that match a bad cable pattern.
B. Marvis randomly performs packet captures on various APs to find bad cables in your network.
C. Marvis randomly performs cable tests on every cable in your network.
D. Marvis constantly sends ping packets to remote end hosts to determine whether there is a failure in the path.

Answer: A

Explanation:
Marvis, the AI-driven Virtual Network Assistant inJuniper Mist, uses continuous telemetry analysis and AI correlation to identifybad cable conditions. It does this by examining interface-level statistics gathered from switches and access points throughWired Assurance.
According to theJuniper Mist Marvis Operations and Troubleshooting Guide:
"Marvis detects bad cable issues by analyzing telemetry patterns such as CRC errors, FCS errors, packet drops, and link flaps that collectively match a known cable fault signature." When such patterns are detected, Marvis automatically generates anAI Actionindicating aBad Cableissue and identifies whether the problem is with theportor thecable. This proactive detection allows administrators to replace faulty hardware before it impacts network users.
Options A, B, and C are incorrect because Marvis does not perform active pinging, random packet captures, or random cable testing. Its detection is entirelyAI and telemetry-based.
Therefore, the correct answer isD. Marvis analyzes metrics, such as interface errors, that match a bad cable pattern.
References:- Juniper Mist Marvis AI Operations Guide- Juniper Mist Wired Assurance and Telemetry Analytics Documentation- Juniper Mist AI Troubleshooting and Automation Overview

NEW QUESTION # 118
Which two statements are correct about the Juniper Mist "Application Health" SLE? (Choose two.)

A. It is only applicable to wired switch interfaces.
B. It measures the performance of specific cloud applications such as Office 365 or Zoom.
C. It cannot be customized to track specific applications.
D. It helps identify whether poor application performance is caused by the network or the application/internet path.

Answer: B,D

Explanation:
The Application Health SLE tracks the performance of specific, often business-critical, cloud applications (such as Office 365, Zoom, or Salesforce) from the client's perspective, helping administrators determine whether performance issues stem from the local network or from the application/internet path beyond the network's control.

NEW QUESTION # 119
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