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Juniper JN0-253 Exam Overview:

Certification Vendor:Juniper
Exam Name:Mist AI, Associate (JNCIA-MistAI)
Exam Number:JN0-253
Exam Price:$200 USD
Certificate Validity Period:3 years
Real Exam Qty:65
Exam Duration:90 minutes
Exam Format:Multiple-choice
Related Certifications:JNCIP-MistAI
JNCIS-MistAI-Wireless
JNCIA-MistAI
JNCIS-MistAI-Wired
Available Languages:English
Passing Score:Pass/Fail (Approx. 60-70%)
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 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 Operations: This domain covers three API types (RESTful, WebSocket, Webhook) for programmatic integration, plus support resources including ticketing systems and documentation.
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.

Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q15-Q20):

NEW QUESTION # 15
A Mist administrator may link their Mist login to which type of social account login?

Answer: D

Explanation:
Google Account Integration: Mist administrators can link their Mist login to a Google account. This facilitates easier access and management of Mist services using a single sign-on (SSO) mechanism provided by Google.
Benefits of SSO: Using Google SSO simplifies user management, reduces password fatigue, and enhances security through Google's robust authentication mechanisms.


NEW QUESTION # 16
In Juniper Mist, which three devices send data to the Juniper Mist Cloud? (Choose three.)

Answer: A,C,E

Explanation:
In theJuniper Mist Cloud architecture, data is collected and streamed from variousedge devicesto the Mist Cloud platform, whereAI-driven analytics,automation, andtelemetry correlationoccur. OnlyMist- managed devicesthat are cloud-connected contribute operational telemetry data to Mist AI for analysis.
According to theJuniper Mist Cloud Architecture and Operations Guide:
"Access Points, Juniper Mist Edge devices, and Session Smart Routers (SSR) communicate directly with the Mist Cloud, sending telemetry, configuration, and analytics data in real time."
* Access Points (B):Provide wireless client telemetry, RF statistics, and user SLE (Service Level Expectation) data.
* Session Smart Routers (C):Supply WAN Assurance and routing analytics, including path and session health data.
* Juniper Mist Edge (D):Acts as an on-premises gateway that forwards data and enables local breakout for Mist Cloud services.
Syslog ServersandRADIUS Serversare external systems and do not send native telemetry to the Mist Cloud-they only interact through authentication or logging integrations.
References:- Juniper Mist Cloud Architecture and Operations Guide- Juniper Mist WAN and Wired Assurance Documentation- Juniper Mist Edge and Session Smart Router Integration Guide


NEW QUESTION # 17
Marvis Minis has been successfully enabled in your organization, and Juniper Mist is sending Marvis Minis related alerts to your ticketing system. Your support team has asked you to suppress alerts from lab sites. How would you accomplish this task?

Answer: A

Explanation:
To suppress alerts from specific lab sites while keeping Marvis Minis active elsewhere, you disable Marvis Minis at the site level. This ensures alerts are not generated for lab environments but remain enabled for production sites.


NEW QUESTION # 18
Which two statements are correct about Juniper Mist's use of machine learning for Anomaly Detection? (Choose two.)

Answer: A,C

Explanation:
Juniper Mist's Anomaly Detection uses machine learning to establish a baseline of normal network behavior over time and then automatically flags deviations from that baseline, such as unusual spikes or drops in client counts or throughput, without requiring administrators to manually configure static thresholds for every metric.


NEW QUESTION # 19
Which statement accurately describes the capabilities of the Juniper Mist AI platform?

Answer: B

Explanation:
TheJuniper Mist AI platformis acloud-native, AI-driven network management solutionthat leverages machine learning and data science to provide predictive insights, proactive troubleshooting, and automated optimization acrosswireless, wired, and WANenvironments.
At the core of this intelligence is thePredictive Analytics and Correlation Engine (PACE), which powers Mist AI's ability to process and analyze massive volumes of telemetry data in near real time.
According to theJuniper Mist AI Cloud Architecture Guide,
"The Predictive Analytics and Correlation Engine (PACE) collects, correlates, and analyzes pre-connection and post-connection user experience data, enabling real-time visibility and proactive detection of network anomalies." This allows Mist AI to perform the following:
* Understand client onboarding and connectivity performance through SLE (Service Level Expectation) metrics.
* Detect anomalies automatically and identify root causes with Marvis.
* Continuously learn and improve via theMist AI efficacy loop.
OptionsA,C, andDare incorrect because:
* Mist AI is fully automated and does not rely on manual data collection.
* The Mist Cloud is the central data aggregation and analysis engine.
* Marvisis proactive and autonomous, not dependent on user-driven troubleshooting.
Therefore, the correct answer isB. Juniper Mist AI uses Predictive Analytics and Correlation Engine (PACE) to collect and analyze pre-connection and post-connection user and location states in near real- time.
References:- Juniper Mist AI Cloud Architecture and Operations Guide- Juniper Mist Predictive Analytics and Correlation Engine (PACE) Documentation- Juniper Mist AI Platform Overview and Study Guide


NEW QUESTION # 20
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