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Juniper JN0-253 Exam Syllabus Topics:

Topic	Details
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 Cloud Operations: This domain covers three API types (RESTful, WebSocket, Webhook) for programmatic integration, plus support resources including ticketing systems and documentation.
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.

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Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q118-Q123):

NEW QUESTION # 118
What are two ways that Marvis Minis validates network configurations? (Choose two.)

A. Marvis Minis uses unsupervised machine learning.
B. Marvis Minis uses supervised machine learning.
C. Marvis Minis validates configurations automatically.
D. Marvis Minis requires additional hardware for validation.

Answer: B,C

Explanation:
Marvis Minis automatically validates network configurations by simulating client behavior.
It uses supervised machine learning to analyze results and detect deviations from expected network performance.

NEW QUESTION # 119
Which machine learning method uses unlabeled data sets?

A. Reinforcement learning
B. Supervised learning
C. Unsupervised learning
D. Cognitive learning

Answer: C

Explanation:
InJuniper Mist AI, variousmachine learning (ML)techniques are applied across the platform to analyze network telemetry and improve performance insights. Among these,unsupervised learningplays a critical role in identifying patterns, trends, and anomalies in unlabeled datasets-data that has not been pre-classified or annotated.
According to theJuniper Mist AI and Machine Learning Overview:
"Unsupervised learning enables Mist AI to automatically detect abnormal patterns or clusters in large volumes of unlabeled network data, allowing the system to identify anomalies and optimize network behavior without human labeling." This method allows Mist AI to autonomously recognize deviations in user experience, traffic behavior, or radio performance without prior definitions, helping to enhance predictive analytics and anomaly detection.
By contrast:
* Supervised learningrequires labeled training data.
* Reinforcement learninglearns through trial-and-error feedback loops.
* Cognitive learningis not a formal ML category-it refers to human-inspired reasoning.
Therefore, the correct answer isD. Unsupervised learning.
References:- Juniper Mist AI and Machine Learning Overview- Juniper Mist Cloud Architecture and AI Engine Guide- Juniper Mist Predictive Analytics and Correlation Engine (PACE) Documentation

NEW QUESTION # 120
What should be specified in the session policy settings?

A. The duration for session timeout and inactivity timeout.
B. The types of special characters allowed in the password.
C. The minimum number of characters required for the password.
D. The implementation of two-factor authentication (2FA).

Answer: A

Explanation:
Thesession policy settingsin theJuniper Mist Clouddefine how long a user session remains active and how the system manages session expirations due to inactivity. These configurations help ensure bothsecurityand efficient resource managementacross the Mist Cloud portal and API sessions.
According to theJuniper Mist Cloud Administration and Security Configuration Guide:
"Session policy defines session timeout and inactivity timeout parameters, controlling how long users can remain logged into the Mist Cloud portal or API before re-authentication is required."
* Session Timeout:Specifies the maximum duration a session can remain active, regardless of activity.
* Inactivity Timeout:Defines how long a session can remain idle before automatic logout.
These policies help maintain strong access security by reducing the risk of unauthorized access through stale sessions.
Other options such as password complexity (A, C) and two-factor authentication (D) are configured under authentication and access policies, not session policies.
Therefore, the correct answer isB. The duration for session timeout and inactivity timeout.
References:- Juniper Mist Cloud Administration and Security Configuration Guide- Juniper Mist Organization Access and Authentication Policy Documentation- Juniper Mist Cloud Operations and Management Overview

NEW QUESTION # 121
Which two statements are true about packet captures on an AP? (Choose two.)

A. The involved APs remain in service.
B. The involved APs are taken out of service.
C. Only wireless packets can be captured.
D. Wireless and wired packets can be captured.

Answer: A,D

Explanation:
Mist APs have the capability to capture both wireless and wired packets. This feature allows for comprehensive network troubleshooting by providing visibility into both types of traffic. When performing packet captures on Mist APs, the APs remain in service. This means they continue to operate and serve clients while the capture is ongoing, ensuring minimal disruption to network operations.
This functionality is critical for maintaining network availability and performance while conducting detailed packet analysis.

NEW QUESTION # 122
How does Marvis detect a bad cable problem?

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

Answer: A

Explanation:
Marvis detects bad cable problems by analyzing interface statistics (such as errors, drops, or CRC issues) and identifying patterns that indicate cable faults, rather than actively testing or probing cables.

NEW QUESTION # 123
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