Juniper JN0-253 Dumps

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).​

Comprehensive and Detailed Explanation verified by Juniper Mist documentation:

To ensure a guest WLAN is available only on a specific lobby AP, the correct approach according to Juniper Mist best practices is to create a new "Guest" WLAN template and add it to the lobby AP using a device profile. This method leverages device profiles for targeted SSID airtime availability, allowing granular WLAN assignment to selected APs (not all APs or sites). Juniper's documentation and solution briefs confirm that device profiles control which SSIDs broadcast on specific access points within a site, supporting scenarios like dedicated guest access only in particular areas such as the lobby.

Creating WLANs in standard templates enables SSID broadcast across all assigned APs, not selectively per device. Organization labels do not restrict SSID broadcast for individual APs.

Verification:

Your selected answer in the image ("Create a new 'Guest' WLAN template and add it to the lobby AP using a device profile") is correct and aligns with Juniper's recommended workflow.

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Marvis Minisis an advanced feature within the Juniper Mist AI ecosystem designed to performautonomous, synthetic network testing. It uses Mist Access Points (APs) to simulate client behavior—such as association, authentication, DHCP, DNS, and application reachability—to proactively detect service issuesbefore real users are affected.

According to theJuniper Mist Marvis Minis Deployment GuideandMarvis AI documentation, the key requirement for enabling Marvis Minis is that all participating access points must be running aminimum supported firmware versionthat includes the Minis agent functionality.

The documentation specifies:

“Marvis Minis requires APs running the minimum firmware version that supports synthetic testing. APs on earlier versions will not be capable of running Minis tests or reporting results to the Mist Cloud.”

Additional subscriptions such asWAN Assurance,Premium Analytics, orWLAN templatesare not prerequisites for operation. WhileMarvis licensingmust be active, the feature itself relies primarily on compatible firmware within the Mist-managed APs.

Therefore, the correct answer isC. Minimum AP firmware— ensuring the APs are on a supported firmware release is essential for Marvis Minis functionality.

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.

InJuniper Mist Cloud, guest access is managed through theGuest Portalfeature, which allows administrators to configure secure and flexible authentication methods for temporary or visitor access. These options are designed to provide a balance between user convenience and network security.

According to theJuniper Mist Guest Access and Captive Portal Configuration Guide, the supported authentication options include:

“Authentication Code (Self-registration) and Sponsored Guest workflows, among others, which provide different levels of administrative control and ease of use.”

Authentication Code (A):Visitors receive a temporary authentication code (PIN) via email or SMS that they use to log in. This method is ideal for self-service access while maintaining accountability.

Sponsored Guest (C):In this mode, guests must be approved by a designated employee or sponsor before gaining access. This adds an extra layer of security by involving internal personnel validation.

MAC Authentication (B)andSAML (D)are not used for guest portals; they are designed for device-based authentication and enterprise-level identity federation, respectively.

InJuniper Mist Wired Assurance, assigningrolesto switches is a key configuration mechanism for deploying consistent network policies across multiple devices. Switch roles act as logical identifiers that bind devices to specificconfiguration templatesorpolicy profiles, ensuring standardized setup and reducing manual configuration overhead.

According to theJuniper Mist Wired Assurance Configuration and Template Management Guide:

“Switch roles are used to group devices based on function or location and automatically apply predefined configuration templates and policies at scale.”

This enables administrators to:

Automatically assign VLANs, port profiles, and policies to multiple switches simultaneously.

Simplify deployment for large organizations with multiple sites.

Ensure uniform compliance with enterprise configuration standards.

Roles arenot usedto configure WLANs (wireless function), manage users, or directly monitor traffic — those tasks are handled through other Mist AI services.

Therefore, the correct answer isC. To assign configurations at scale.

The duplex mismatch parameter is beyond the scope of Marvis Actions’ Connectivity category. According to the official Juniper Mist documentation, Marvis Actions within the Connectivity category are designed to troubleshoot common network connectivity issues for wireless clients, including DHCP failure, DNS failure, authentication failure, and ARP failure. These actions automatically detect and provide detailed insights about failures most likely to impact client onboarding, IP addressing, and network services. Duplex mismatch, on the other hand, is a wired networking issue where there is a disagreement between network devices (such as switches and end hosts) regarding duplex settings (half-duplex or full-duplex), and it typically causes performance problems like collisions and slow speeds. Marvis's focus for the Connectivity troubleshooting category is wireless protocol-level connectivity and service reachability, so duplex mismatch falls outside its direct scope of detection and automatic remediation.

In the Juniper Mist Cloud Portal, theSubscriptionspage provides a summary of all service entitlements associated with an organization, including the number of licensespurchasedandonboardedfor each Mist Cloud service.

According to the official Juniper Mist Cloud Administration Guide, this section displays key fields such asService Name,Purchased,Onboarded,Start Date, andEnd Date. ThePurchasedcolumn indicates the total number of subscriptions bought, while theOnboardedcolumn represents how many of those have been actively assigned and deployed within the organization’s network.

In the exhibit, the entry forMarvis for Wirelessshows103 purchasedand82 onboarded, meaning that while 103 licenses were obtained, only 82 have been claimed and are in use within the system.

Therefore, the correct number ofonboarded Marvis for Wireless subscriptionsis82.

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.

Within theJuniper Mist Wireless Assurance dashboard, theCapacity SLE (Service Level Expectation)provides visibility into how well the network can handle concurrent users and traffic loads. It identifies the contributing factors, orclassifiers, responsible for degraded capacity performance such asWi-Fi interference, network issues, Ethernet problems, or authorization delays.

According to theJuniper Mist AI Operations and SLE Analytics Guide, the platform:

“Uses classifiers to break down SLE metrics and identify which network factors most heavily contribute to sub-threshold performance.”

In the exhibit, theWi-Fi interferenceclassifier has the longest bar reaching the full17%, clearly showing it as the largest contributor to capacity degradation. Wi-Fi interference occurs when multiple APs or nearby wireless networks overlap on the same channel, resulting in increased contention, collisions, and reduced airtime availability — all of which impact overall capacity.

Therefore, the correct answer isD. Wi-Fi Interference.

In theJuniper Mist Cloud platform, user roles define the scope of permissions that determine what administrative functions an individual can perform within an organization. TheSuper Userrole represents thehighest level of administrative authoritywithin a Juniper Mist organization and carries full control over both organization-wide and site-specific configurations.

According to theJuniper Mist Cloud Administration and User Management documentation, the Super User role is described as:

“The Super User role provides full read and write access across the entire organization. Only Super Users can manage organization-level settings, add or remove other administrators, and assign privileges to users.”

This means that only a Super User canadd new administrators, managesubscription entitlements, configureorganization-level policies, and performfull lifecycle device management. Unlike site administrators, Super Users are not restricted to specific locations—they have unrestricted visibility and control across all sites within the organization.

Therefore, the correct answer isD, since the Super User role is explicitly required toadd administratorsto an organization and perform top-level management operations.

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.

Alerts represent network and device issues that are ongoing. Juniper Mist™ categorizes them as follows:

Infrastructure Alerts—Repeated events involving servers and protocols that can potentially affect a large number of clients. For example, an event during which a Domain Name System (DNS), Dynamic Host Configuration Protocol (DHCP), or RADIUS server is unreachable can affect many clients. Similarly, if a power supply on a switch is in alarm state, a large number of clients and a large amount of traffic could be affected.

Marvis Alerts—Repeated events that Marvis tracks on the Marvis Actions dashboard. For example, if an access point (AP) regularly fails health checks, you'll see a Marvis alert for it.

Security Alerts—Repeated events that could dramatically affect network security. For example, these alerts appear if a rogue AP is detected and clients start connecting to it.

Certificate Alerts—Notification for expired, and soon-to-expire, user-added digital certificates. These include RadSec (configured at Organization > Settings > RadSec Certificates and AP RadSec certificate), SSO (configured at Organization > Settings > Single Sign-On), and PSK Portal IDP certificates (configured at Organization > Client Onboarding). Certificate alerts appear on the Alerts page and begin 30 days before the certificate's expiry date, then the notification repeats 15, 7, 3, and 1 day before expiration unless the certificate is renewed. .

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.

TheJuniper Mist Cloud platformis built on amicroservices-based architecture, where individual software components perform specific functions and communicate using well-definedApplication Programming Interfaces (APIs).

According to theJuniper Mist Cloud Architecture and Operations Guide:

“Microservices communicate through secure APIs, allowing independent services to interact seamlessly while maintaining modularity and isolation.”

This architectural design provides major operational benefits, including:

Independent scalability– each service can scale based on workload demand.

Fault isolation– failures in one service do not affect others.

Continuous deployment– updates can be made to one service without impacting the rest of the platform.

Incorrect options:

B:Juniper Mist microservices are independently updated, not deployed as one suite.

C:They are independent, not dependent on one another.

D:Each microservice maintains its own data model; they do not rely on a single shared database.

Thus, the correct answer isA. Microservices communicate with each other using APIs.

Marvis Minis validates network configurations automatically and uses supervised machine learning. As stated in the Juniper Mist AI documentation, “Marvis Minis runs validations automatically at regular intervals and can be triggered manually by administrators. Minis use network digital twin technology and supervised machine learning to simulate and validate real-world user connectivity events.” The system automatically creates patterns, triggers tests, and correlates real user and simulated network behaviors with the learned models. The validation covers critical network services—such as DHCP, DNS, ARP, and application reachability—and does so across various scopes (site, AP, VLAN, and switch). There is no requirement for additional hardware, as the digital twin reuses existing network infrastructure and existing APs.

The feature that provides deep visibility into BGP operations for MX Series routers is Routing Assurance. According to official Juniper documentation: "Juniper Mist Routing Assurance provides insights about... routing, including routing events, routing protocol states, peer status analysis, routes, and more" for supported routers such as Juniper MX and ACX series. Routing Assurance extends Mist AI observability and analytics into the routing fabric, offering real-time visibility and telemetry for BGP peering session health, routing tables, events, path changes, and other core routing metrics. This empowers network operators with actionable insights and root cause analysis capabilities to maintain optimal WAN and core routing performance from the Mist cloud. Wired Assurance focuses on switch and port health and is not designed for routing protocol visibility.

Juniper MistAccess Assuranceis a cloud-based network access control service that provides secure wired and wireless access through identity- and policy-based mechanisms. According to the official Juniper Mist AI documentation, Access Assurance usesuser and device identityto determine network access privileges dynamically.

The service enforces access policies primarily in two ways:

Assigning Specific Roles to Users:Access Assurance dynamically assigns roles to users and devices after successful authentication. These roles are used to apply specific network policies and permissions, defining what level of access or network resources a user or device is allowed. Roles can be leveraged in wireless SSID configurations or switch access policies to ensure consistent enforcement across the infrastructure.

Grouping Users into Network Segments:Access Assurance also allows grouping of users and devices intonetwork segmentsusing VLANs or Group-Based Policy (GBP) technology. This segmentation isolates users or devices into logical groups, ensuring security and optimized traffic handling. Policies are then applied to these groups to control communication between segments, thereby maintaining a zero-trust framework.

Options A and B are incorrect because Access Assurance does not establish VPN tunnels or passively monitor traffic as its primary method of access control. It relies instead onidentity-based role assignment and segmentationto enforce network security.

From Juniper’s official guide:

“You’ll need either a claim code or an activation code to claim an AP. With either, you can claim an AP by using one of the following methods:

Mist AI Mobile App

A Web browser

You can claim either a single AP using a claim code or multiple APs using an activation code. You can use any of these methods to claim an AP:

To claim a single AP, use the claim/QR code located on the rear of the AP.

To claim multiple APs, you’ll need to use an activation code. When you purchase multiple APs, we provide you with an activation code along with your PO information.”​

From the Mist documentation:

“APs can be claimed to any organization by using either the activation code, claim code or QR code.

Activation Code: Whenever you order APs, our Sales Operations team will send you an activation code which can be used for claiming the APs and subscriptions as per the order. …

AP Claim Code: You can individually claim APs to your organization by navigating to Organization > Inventory > Claim APs and entering in the claim code found on the back of each AP.

AP QR Code: Using our Mist AI mobile app you can scan the QR code printed on the back of our APs to claim APs to your organization.”​

Summary:

The Juniper Mist platform allows you to claim an Access Point using:

Activation code (provided for bulk purchases, via PO)

Claim code (unique per AP, on the rear label)

QR code (scanned with the Mist AI mobile app, also encoded as the claim code)

These extracts are direct from Juniper’s own documentation and confirm the methods for AP onboarding in the Mist platform.

When developing areal-time visualization dashboardthat displays client locations on a map, Juniper Mist offers specific APIs and data streaming methods to support dynamic updates.

According to the Juniper Mist Developer Documentation, theWebSocketinterface enables continuous,real-time streaming of client location and telemetry datadirectly from the Mist Cloud. This mechanism is ideal for live dashboards, as it eliminates the need for repeated REST API polling. WebSocket connections provide instant updates whenever a device moves, connects, or disconnects, ensuring the displayed map remains accurate in real time.

TheLive Viewfeature complements this functionality within the Mist Cloud and third-party integrations. It allows administrators and developers toview live location movements of Wi-Fi clients, BLE beacons, and IoT deviceswithin a site’s floor plan. It uses telemetry directly from access points, offering second-by-second updates.

In contrast,RESTful APIsandWebhooksare designed for event-based automation and configuration management rather than live visualization. REST APIs are best for historical or static data retrieval, while Webhooks are used for triggering external actions based on events.

Therefore, the correct functions for real-time map visualization are:

WebSocket (C)— for continuous live data streaming

Live View (D)— for direct map-based visualization of client activity

In theJuniper Mist Cloud architecture, configuration hierarchy and inheritance are key design principles for managingEX SeriesandQFX Seriesswitches underWired Assurance. Configuration settings can be applied at both theorganization leveland thesite level, with clearly defined precedence rules.

According to theJuniper Mist Wired Assurance Configuration Guide, theorganization leveldefines global configuration templates that apply across multiple sites, while thesite levelprovides 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 Cis correct — site-level configurations are an additional method to apply templates for a specific site.

Statement Dis correct — site-level configurationstake precedenceover org-level templates.

Statement Ais incorrect because org-level templates donotoverride site-level configurations; the reverse is true.

Statement Bis incorrect because site-level configuration isnot requiredfor manual switch setup—it is an optional, more efficient method of template application.

Among Juniper Mist’sLocation-Based Services,Asset Visibilityprovides the most accurate location tracking capabilities. This is achieved through the use ofvBLE (virtual Bluetooth Low Energy)technology, which leverages a patented16-element BLE antenna arrayintegrated into Mist Access Points forAngle of Arrival (AoA)calculations.

According to theJuniper Mist Location-Based Services Technical Overview:

“Asset Visibility delivers sub-meter location accuracy by using BLE-based triangulation combined with Mist AI’s machine learning algorithms for continuous calibration.”

WhileWi-Fi locationoffers approximate device tracking based on signal strength and triangulation, andProximity Detectionidentifies nearby devices,Asset Visibilityprovides precise real-time tracking of BLE-tagged objects and devices.

User Engagement, on the other hand, focuses on customer-facing mobile interactions, not accuracy optimization.

Therefore, the correct answer isC. Asset Visibility.

In Juniper Mist AI,Wireless Assurance Service Level Expectations (SLEs)are designed to provideAI-driven visibility into user experience and network performance. Each SLE represents a specific aspect of the end-user journey — such asTime to Connect, Throughput, Coverage, Roaming, Capacity, and Application Experience.

According to the Juniper Mist documentation, SLEs “define measurable benchmarks for user experienceand identify where deviations occur.” This allows administrators to quickly determine whether issues stem from client devices, access points, wired uplinks, or WAN connectivity. When an SLE metric falls below its threshold, Mist AI automatically highlights the affected classifier (for example, DHCP, DNS, or Wi-Fi interference) and providesroot-cause correlationthrough AI-driven insights.

This data-driven approach enables administrators totroubleshoot proactivelyby focusing on user-impacting areas instead of raw device statistics. Thus, Wireless Assurance SLEs act asexperience-based benchmarksthat simplify troubleshooting, improve performance visibility, and shorten mean time to repair (MTTR).

InJuniper Mist’s Location-Based Services, theAsset Visibilityservice utilizes the built-inBluetooth Low Energy (BLE)antenna array within Mist Access Points to track BLE tags and devices inlisten-only mode. This allows the APs to receive BLE signals emitted by assets and compute their real-time location usingangle-of-arrival (AoA)andRSSI-based triangulation.

According to theJuniper Mist Asset Visibility and Location Services Guide:

“When operating in Asset Visibility mode, the vBLE antenna array in Mist Access Points functions in listen-only mode, collecting BLE chirps from asset tags and relaying this data to the Mist Cloud for location determination.”

This configuration differs fromvBLE Engagement, where APs transmit BLE beacons to interact with mobile apps. InAsset Visibility, the BLE array passively listens to track tagged assets (e.g., equipment, IoT devices) across a defined floor map.

Therefore, the correct answer isD. Asset Visibility.

Juniper Mist WAN Assuranceis a cloud-based service that extends Mist AI capabilities to the WAN edge, providing visibility, automation, and AI-driven analytics for WAN devices. It focuses on ensuringend-to-end service assurancefor users and applications across distributed networks.

According to theJuniper Mist WAN Assurance and SD-WAN Deployment Guide, the supported devices include:

“Juniper SRX Series Firewalls and Session Smart Routers (SSR) are integrated with Mist WAN Assurance for telemetry collection, service-level monitoring, and AI-driven troubleshooting.”

SRX Series Firewalls (A):Provide secure WAN connectivity and send real-time telemetry (including throughput, latency, and packet loss metrics) to Mist Cloud.

Session Smart Routers (C):Power the AI-driven SD-WAN solution with application-aware routing and session intelligence, fully integrated into Mist Cloud for advanced visibility and analytics.

EXandQFXswitches are used withWired Assurance, not WAN Assurance.

Therefore, the correct answers areA. SRX Series FirewallsandC. Session Smart Routers.

TheJuniper Mist Cloud portalprovides a user-friendly interface that supports multiple languages to enhance accessibility for global users. The language preference determines the display language for menus, dashboards, and configuration pages across the Mist UI.

According to theJuniper Mist Cloud Administration Guide, the portal’s language can be modified as follows:

“Users can change the display language of the Mist portal using the Change Language drop-down list located in the upper-right corner of the interface.”

This option allows users to immediately switch the UI language without affecting other users in the organization or requiring administrative permissions. The change is applied per user profile and is stored for future sessions.

Other listed options are invalid:

A:The Alerts page does not include language settings.

B:The My Account page shows personal info but not display language options.

C:Organization templates are unrelated to UI preferences.

Therefore, the correct answer isD. Use the Change Language drop-down list of the Juniper Mist portal.

TheMist AI Efficacy Loopis a key concept within theJuniper Mist AI architecturethat ensures continuous improvement of itsmachine learning (ML)andartificial intelligence (AI)models. This process combines feedback and data collected from multiple sources — including real-world network telemetry, customer success feedback, domain experts, and the Mist data science team — to refine the AI algorithms and enhance prediction accuracy.

According to theJuniper Mist AI Operations and Architecture Guide, the process is described as follows:

“The Mist AI efficacy loop is a closed-loop feedback system that continuously collects data from the field, correlates it with expert knowledge and support insights, and uses it to retrain and improve AI models for greater accuracy and reliability.”

This iterative learning cycle allows Mist AI to:

Improve anomaly detection precision.

Reduce false positives in network issue detection.

Enhance Marvis’s ability to accurately identify root causes and recommend corrective actions.

Theefficacy loopis what differentiates Mist AI from static analytics platforms, as it creates aself-learning systemthat evolves with every deployment and customer interaction.

Therefore, the correct answer isB. Mist AI efficacy loop.

InJuniper Mist Wireless Assurance,Service Level Expectations (SLEs)are key metrics that measure different aspects of the end-user experience. Each SLE focuses on a distinct area of network performance such asConnection,Roaming,Throughput, andCoverage.

TheCoverage SLEspecifically measures whether wireless clients are receiving adequate signal strength (RSSI) and signal quality (SNR) from access points. According to theJuniper Mist AI Operations and SLE Analytics Guide, this metric is defined as:

“The Coverage SLE quantifies the percentage of client sessions that meet the required signal strength and quality thresholds. Low coverage indicates areas with weak or inconsistent RF signal levels.”

When users experienceweak signal or dead zones, theCoverage SLEprovides insight into where and why these issues occur. Mist AI identifies sub-classifiers such asSignal Quality,Wi-Fi Interference, orAirtime Utilization, allowing administrators to isolate the cause of poor signal conditions.

Therefore, in the exhibit shown, an administrator would investigate theCoverage SLE (79%), as it directly relates to signal weakness or RF coverage problems.

The AI Validated notification for the WAN Edge signifies that Marvis has verified the underlying issue as resolved and has classified the incident as AI-validated. According to the Juniper Mist documentation, when Marvis completes its troubleshooting workflow and determines that a previously surfaced issue is cleared — either by automated remediation or through confirmation of operational health — Marvis marks the issue as “AI Validated.” This indicates both the end of the incident lifecycle and the confidence level provided by Mist’s AI that the environment is healthy and functioning as expected. The notification does not mean an error remains, nor does it confirm merely the presence of an issue, nor that Marvis performed only an automatic fix (which may also be the case, but the “AI Validated” label is for resolved/confirmed resolution status). This is most often seen as a final state within the Marvis Actions interface on the WAN Edge.

The correct statement is that Juniper APs have a dedicated radio to scan for rogue and honeypot APs. The official Juniper Mist documentation specifies: "Juniper APs include a dedicated scanning radio to detect rogue, neighbor, and honeypot APs and their clients... The dedicated scanning radios operate on 2.4, 5, and 6 GHz Wi-Fi bands." This third radio operates independently from the client-serving radios and enables continuous threat detection on all Wi-Fi bands, enhancing security and allowing real-time performance adjustments. BLE radios are used for location-based services and asset tracking, not for rogue AP detection. Client-serving radios can also scan, but detection is always enabled and optimized by the dedicated radio.