JN0-460 Exam Results

In theJuniper Mist AI for Wired dashboard, administrators can select one or more switch ports (as shown in the exhibit, e.g., port ge-0/0/25 on an EX4100-48MP). Once configuration changes are made — such as VLAN assignment, port profiles, PoE settings, or administrative state — theSave buttonmust be clicked to confirm and apply those changes to the device.

“When making configuration changes in the Mist switch interface, the Save button must be used to confirm the modifications. Clicking Save applies the selected port settings to the switch through Mist Cloud.”

Option Ais incorrect: saving does not create a backup. Backups and snapshots are handled through Mist’s configuration archive, not via the Save button.

Option Bis incorrect: Save does not reset configuration; instead, it commits changes.

Option Cis incorrect: there is no preview function tied to Save.

Option Dis correct: the Save button is explicitly forapplying configuration changesto the selected switch or port(s).

In acore-distribution campus fabricmodel, the EVPN-VXLAN overlay is establishedonly between the core and distribution tiers. Theaccess switches are not part of the EVPN fabric; they connect upstream to distribution but do not run VXLAN tunnels.

“In the core-distribution campus fabric, only the core and distribution layers participate in the EVPN-VXLAN topology. The access layer connects to the distribution switches and forwards traffic but does not take part in the EVPN-VXLAN fabric.”

Option A:Correct — EVPN-VXLAN is built between core and distribution tiers.

Option B:Incorrect — both coreand distributionparticipate, not just core.

Option C:Incorrect — access switches are excluded from EVPN-VXLAN participation.

Option D:Correct — the access layer does not participate in EVPN-VXLAN.

Abrownfield adoptionin Mist AI refers to onboarding existing Juniper switches (with existing configurations) into the Mist Cloud for management and monitoring. For the switch to connect successfully, it must be able to reach Mist Cloud services usingDNSandInternet connectivity.

“To onboard existing (brownfield) switches into Mist Cloud, the device must have outbound Internet connectivity and DNS resolution to discover Mist Cloud service endpoints.”

Option A:Correct— DNS is required for the switch to resolve Mist Cloud URLs.

Option B:Correct— Internet access is required for registration and telemetry exchange.

Option C:Incorrect — templates can be applied later but are not required for adoption.

Option D:Incorrect — Mist uses TCP ports 2200 or 443, not UDP 1280.

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.