Juniper JNCIS-MistAI-Wired JN0-460 Exam Dumps: Updated Questions & Answers (January 2026)

The exhibit shows:

L2 gateways (blue dots)positioned at the distribution layer.

L3 gateways (red dots)positioned at thecore layer.

EVPN/VXLAN providing fabric connectivity between layers.

Access switches forwarding traffic into the fabric without acting as gateways.

This directly maps to thecentrally-routed bridging (CRB)model, where:

Bridging occurs at the access/distribution layer.

Routing (L3 gateway) occurs centrally at the core layer.

“In the core-distribution CRB model, Layer 2 gateways are deployed at the distribution switches, and Layer 3 gateways are deployed centrally at the core switches.”

Option A (ERB)is incorrect because ERB places the L3 gateway at the edge/access.

Option B (5-stage IP Clos)is incorrect — that topology has a leaf/spine architecture, not core/distribution.

Option C (3-stage IP Clos)is incorrect — that eliminates the distribution layer.

Option D (CRB)is correct, matching the diagram exactly.

In Juniper Mist,Greenfield adoptionapplies to new, cloud-ready switches (such as EX4100, EX4400, and QFX series) using aclaim or activation codeto securely connect to the Mist cloud.

Brownfield adoption, however, supports switches already deployed or not factory-fresh. These are manually onboarded by configuring outbound management connectivity and adopting them through the Mist portal.

This distinction enables both new and legacy EX/QFX environments to be cloud-managed under Wired Assurance.

InJuniper Mist Cloud, configuration hierarchy includesorganization-level templates,site-level configurations, andindividual switch configuration. Site and organization levels provide shared settings, while per-device details such as hostname or role are set individually.

“Device-specific attributes such as hostname, role, or management IP are configured under the individual switch configuration menu. Templates and site configurations apply globally, while individual configurations override device-level parameters.”

Option A:Incorrect — site configuration applies to all switches at a site, not unique details.

Option B:Incorrect — CLI configuration is not used when switches are managed by Mist Cloud.

Option C:Correct— each switch’s name and role are configured individually underSwitches → Switch Configuration.

Option D:Incorrect — organization templates define global settings, not per-switch names.

According to Juniper Mist documentation, the Throughput Service Level Expectation (SLE) is the primary metric used to represent the ability of wired users to pass traffic across the network without impedance. This SLE provides a comprehensive oversight of network performance by identifying issues that degrade the user experience, such as storm control events, interface anomalies, and specifically uplink congestion.

Within the Throughput SLE, the Congestion classifier (also referred to as Congestion Uplink) is specifically designed to monitor for buffer saturation and packet drops (TxDrops). When traffic arriving at an interface exceeds its processing or forwarding capacity, packets are queued in a buffer; if this buffer becomes full, the switch begins dropping packets. Juniper Mist utilizes a specific formula considering the ratios of TxDrops to TxPackets, Transmitted bps to Link Speed, and Received Speed to Link Speed to determine if a "Bad User Minute" has occurred due to congestion.

A critical feature of Wired Assurance is the automatic identification of uplink interfaces. Mist identifies these high-capacity ports by analyzing switch telemetry for characteristics such as having a switch or router as an LLDP neighbor, being designated as a Spanning Tree Protocol (STP) root port, or exhibiting significantly higher packet counts compared to access ports. When congestion is detected on an interface identified as an uplink, the system recognizes that this bottleneck impacts every user on that switch. By correlating these drops with the Throughput SLE, network administrators can proactively identify when a site requires more bandwidth or a different fabric architecture to handle current traffic demands, rather than simply monitoring if the link is physically "up" or "down".

Forgreenfield onboarding, switches are newly deployed and must be claimed into Mist Cloud. Juniper Mist offers multiple claim options to simplify large-scale onboarding.

“You can claim switches using the device’s QR claim code, by bulk importing from a sales order, or through API-based automation for large deployments. Each of these methods securely associates the devices to your organization in Mist Cloud.”

Option A:Incorrect — serial number alone is not sufficient for claiming.

Option B:Correct— claim codes (QR) uniquely identify switches.

Option C:Correct— bulk claim from a sale order streamlines large deployments.

Option D:Correct— APIs support automated claiming and provisioning workflows.

Option E:Incorrect — MAC address alone cannot be used to claim devices.

WhenMarvis Actionsdisplay “AI Validated,” it indicates the issue was detected earlier but is nowresolved.

Marvis automatically validates remediation and marks the action closed once the anomaly clears.

According to Juniper Mist documentation, the Throughput Service Level Expectation (SLE) is the primary metric used to measure the ability of wired clients to pass traffic across the physical network without impedance. This SLE is critical for diagnosing issues with real-time, high-bandwidth applications such as video streams, which are highly sensitive to packet loss and latency. Within the Throughput SLE, the Storm Control classifier is specifically designed to identify "bad user minutes" caused by the suppression of Broadcast, Unknown Unicast, and Multicast (BUM) traffic.

Storm control is a mechanism that enables the switch to monitor traffic levels and drop BUM packets when a specified traffic level—known as the storm control level—is exceeded. This prevents a "traffic storm" from proliferating and degrading the overall performance of the LAN. While this is a vital security feature to prevent network meltdowns, it can inadvertently impact legitimate traffic. For instance, if multicast-based video streams or other heavy BUM traffic exceed the configured bandwidth percentage on a port, the switch will drop those packets to protect the rest of the network.

When troubleshooting video stream issues, network administrators should inspect the Storm Control classifier to see if it is triggering "bad user minutes". If the Mist dashboard indicates failures under this classifier, it signifies that the switch hardware is actively dropping packets because the BUM traffic limit has been reached. This provides immediate root-cause evidence, allowing the administrator to determine if they need to adjust the storm control thresholds within the Port Profile or investigate the source of the excessive broadcast traffic. By correlating these hardware-level events with the end-user experience, Mist AI simplifies the resolution of complex performance problems that traditional "up/down" monitoring would miss.

Mistwebhooksprovide real-time integration with external systems by streamingalertsandSLE (client) metrics.

They allow automation tools to react immediately to network health or performance changes.

Marvis is Juniper’s Virtual Network Assistant (VNA) that leverages AI to provide natural language queries, anomaly detection, and proactive troubleshooting across wireless, wired, and WAN networks.

“Marvis, the AI-driven Virtual Network Assistant, requires a Virtual Network Assistant subscription. The subscription enables Marvis to provide insights, recommendations, and natural language queries for Mist-managed networks.”

Option A (Access Assurance) is related to NAC/802.1X enforcement.

Option B (IoT Assurance) applies to profiling and securing IoT devices.

Option D (Wired Assurance) enables switch telemetry, onboarding, and assurance, but does not unlock Marvis.

Option C (Virtual Network Assistant) is correct — this subscription is required to enable Marvis AI.

Syslogis the standard method for exporting Mist AI event and telemetry messages to third-party collectors.

It supports both UDP and TCP delivery for centralized log correlation.