JN0-253 Exam Preparation Material | Mist AI, Associate (JNCIA-MistAI)

Explanation:
The fundamental sampling method used in supervised learning is a labeled dataset. As described in Juniper Mist AI and machine learning application guides, supervised learning algorithms are trained using datasets in which each sample is paired with a known output (label). The model is fed examples comprising input data and the correct answer, learning patterns to map new inputs to their target outputs. While regression, decision tree, and random forest are techniques within supervised learning, the process fundamentally relies on having a labeled dataset for both training and validation phases. “Supervised machine learning models are built on labeled data, with each input paired to a target value or classification.” This allows for accurate model training and evaluation.
Reference: Juniper Mist AI Explainable AI Reference, Machine Learning in Juniper Mist

Explanation:
In Juniper Mist Wireless Assurance, radio frequency (RF) configurations such as transmit power, channel width, and band selection are typically managed through RF Templates at the site or organization level. However, administrators can override RF Template settings for specific devices or groups of devices when custom configurations are required.
According to the Juniper Mist Wireless Assurance Configuration Guide, RF template overrides can be accomplished using two UI configuration options:
“Administrators can apply overrides to RF settings either per access point using AP-specific settings or across a defined group of APs using labels.”
AP-specific settings (A): Allow administrators to manually modify the radio parameters of a single access point, overriding site-level template values.
Labels (C): Used to group access points logically (e.g., by floor or building) and apply customized configurations or overrides to those APs collectively.
Device Profiles (B) are used for wired switch configurations, and WLAN Templates (D) control SSID-related configurations―not RF parameters.
Therefore, the correct answers are A. AP-specific settings and C. Labels.
Reference:
C Juniper Mist Wireless Assurance Configuration and RF Management Guide
C Juniper Mist Cloud Template and Site Configuration Documentation
C Juniper Mist AI Operations and RF Optimization Overview

Explanation:
In the Juniper Mist Cloud architecture, configuration hierarchy and inheritance are key design principles for managing EX Series and QFX Series switches under Wired Assurance. Configuration settings can be applied at both the organization level and the site level, with clearly defined precedence rules.
According to the Juniper Mist Wired Assurance Configuration Guide, the organization level defines global configuration templates that apply across multiple sites, while the site level provides customization options specific to a particular location or environment.
The documentation states:
“Site-level configuration overrides any global or organizational template configurations for switches within that site.”
and further clarifies:
“Administrators can create or modify switch templates at the site level to apply custom settings to specific deployments without affecting other sites under the same organization.”
Thus:
Statement C is correct ― site-level configurations are an additional method to apply templates for a specific site.
Statement D is correct ― site-level configurations take precedence over org-level templates.
Statement A is incorrect because org-level templates do not override site-level configurations; the reverse is true.
Statement B is incorrect because site-level configuration is not required for manual switch setup―it is an optional, more efficient method of template application.
Reference:
C Juniper Mist Wired Assurance Configuration and Template Management Guide
C Juniper Mist Cloud Administration Guide
C Juniper Mist Site and Organization Configuration Hierarchy Documentation

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

Explanation:
Radio Resource Management (RRM) is a key feature of Juniper Mist Wireless Assurance that uses AI-driven automation to dynamically adjust radio settings across access points (APs) for optimal wireless performance. The RRM engine ensures proper channel assignment, transmit power control, and interference management across the network.
According to the Juniper Mist Wireless Assurance and AI-Driven RRM Guide, RRM operates in two modes:
Event-Driven RRM:
This mode reacts immediately to real-time changes in the RF environment, such as new access points, interference spikes, or client density changes.
Global Optimization RRM:
This process runs as a scheduled, system-wide optimization once per day to evaluate the overall RF environment and redistribute channels and power settings network-wide for the best balance of coverage and capacity.
The documentation states:
“The RRM global optimization algorithm automatically executes once daily to ensure optimal channel and power planning across all APs.”
Thus, the correct answer is D C The RRM global optimization system automatically runs once a day.
Reference:
C Juniper Mist Wireless Assurance and RRM Configuration Guide
C Juniper Mist AI-Driven Radio Resource Optimization Documentation
C Juniper Mist Cloud Operations and RF Management Overview