JN0-452 Mist AI Wireless - Specialist (JNCIS-MistAI-Wireless) Questions and Answers

InJuniper Networks Mist AI Wireless, Radio Resource Management (RRM) is designed to optimize RF performance automatically while minimizing client impact. With the introduction ofWi-Fi 6E and the 6 GHz band, Juniper Mist follows industry standards and client behavior to ensure efficient and reliable operation. By default, Mist RRM uses thePreferred Scanning Channels (PSCs)in the 6 GHz spectrum.

The 6 GHz band introduces a very large number of available channels, which creates challenges for client discovery, scanning efficiency, and roaming speed. To address this, the IEEE definedPreferred Scanning Channels (PSCs)—a specific subset of 6 GHz channels that access points advertise and clients prioritize during active and passive scanning. These PSCs allow clients to discover networks faster without having to scan the entire 6 GHz channel set.

Juniper Mist RRM automatically selects and operates on these PSCs by default to:

Improve client discovery and association times

Reduce unnecessary scanning overhead

Enhance roaming performance

Maintain compatibility across a wide range of Wi-Fi 6E client devices

Mist continuously evaluates RF conditions using telemetry and AI-driven analysis, but it intentionally limits default operation to PSCs to balance performance, efficiency, and client interoperability. Administrators can override defaults and customize channel plans if required, but PSCs remain the recommended baseline for most deployments.

The incorrect options are explained as follows:

Option Bis incorrect because Mist RRM does not require manual primary channel selection by default.

Option Crefers to 2.4 GHz non-overlapping channels, not 6 GHz.

Option Drepresents the full 6 GHz channel range, which is not practical for default scanning or operation due to client limitations.

Therefore, the correct answer isthe preferred scanning channels (PSCs), which Juniper Mist RRM uses by default in the 6 GHz band to ensure optimal Wi-Fi 6E performance.

According to the Location - how it works - Mist document1, a Mist AP actually begins transmitting BLE when it is placed on a floor plan. This is because the Mist cloud uses the floor plan information to calculate the optimal BLE transmission pattern for each AP.

Once a client discovers an access point, the correct order of steps for successful 802.1X authentication is Open System Authentication -> Association -> 802.1X Authentication. So the correct answer is D.Open System Authentication -> Association -> 802.1X Authentication.

InJuniper Networks Mist AI Wireless, arogue access point (AP)is precisely defined to avoid confusion with external or non-threatening wireless devices. Mist qualifies a rogue AP asan unauthorized access point that is physically connected to your wired network infrastructure.

This distinction is critical from a security perspective. A rogue AP represents a direct threat because it bypasses established security controls by providing wireless access into the enterprise wired network without authorization. Such APs are often installed by users without IT approval or, in more serious cases, by malicious actors attempting to gain internal network access.

Mist APs continuously scan the RF environment and correlate wireless observations with wired-side intelligence. If an AP is detected advertising SSIDs and Mist can confirm—through MAC address correlation and wired discovery—that the device is connected to the enterprise’s wired network but isnot claimed or authorized in the Mist cloud, it is classified as a rogue AP. This allows administrators to take immediate remediation actions, such as physical removal or switch-port shutdown.

The other options are incorrect for the following reasons:

Neighbor APsare access points belonging to nearby organizations or environments and are not security threats by default. Mist classifies these separately for RF awareness.

APs close to your network as measured by RSSImay simply be physically nearby but not connected to your infrastructure; proximity alone does not make an AP rogue.

Honeypot APsare intentionally deployed decoy access points used in security research or attack detection and are not Mist’s definition of a rogue AP.

Therefore, Mist correctly defines a rogue AP asan unauthorized AP connected to your wired network, making optionAthe correct answer.

InJuniper Networks Mist AI Wireless,Marvis Minisare purpose-built synthetic clients designed to proactively validate end-user experience by continuously testing the network in the same way a real user device would. To accurately isolate the root cause of connectivity or performance issues, Marvis Minis follow astrict, layered verification sequencethat mirrors the logical dependency of network services.

The verification process begins withDHCP. This is the foundational step because, without a valid IP address, no further network communication can occur. Marvis Minis first confirm that the client can successfully complete the DHCP exchange and obtain proper IP configuration, including subnet, gateway, and lease parameters.

Once DHCP is validated, Marvis Minis move toARPverification. At this stage, the synthetic client confirms it can resolve the MAC address of the default gateway and communicate at Layer 2. ARP issues can prevent traffic from leaving the local network segment even when an IP address is present.

After Layer 2 and Layer 3 reachability are confirmed, Marvis Minis testDNSfunctionality. DNS resolution is critical for application access, as most modern applications rely on hostname resolution rather than raw IP addresses. Failed or slow DNS responses are a common cause of perceived “application outages.”

Finally, Marvis Minis validate theapplication layer. This includes testing reachability, response time, and success of specific application transactions such as HTTPS connections, SaaS access, or internal application availability. By the time application testing occurs, all prerequisite network services have already been verified.

The other options are incorrect because they test higher-layer services before validating lower-layer dependencies, which can lead to misleading conclusions. Mist’s ordered approach—DHCP → ARP → DNS → Application—ensures precise fault isolation and actionable insights, allowing Marvis AI to accurately pinpoint where the user experience is breaking down.

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide2, a non-compliant AP is an AP that has a different hardware model than what is expected by the cloud configuration. This can happen when an AP is replaced with an incorrect model or when an AP is moved to a different site group that has a different hardware model requirement. The solution is to replace the AP with the correct hardware model.

 The AP Offline Marvis Action will consider all APs assigned to sites that have connected to the cloud previously for inclusion. So the correct answer is A. all APs assigned to sites that have connected to the cloud previously.

If Bluetooth-only mobile client devices with an SDK-enabled app do not appear in the Mist GUI under Clients/App Clients even though they have Bluetooth enabled, it could be because the AP BLE radios do not hear the SDK-enabled client’s BLE beacons.

According to the Mist documentation1, Mist SDK is a software development kit that enables indoor location and proximity services using Mist’s virtual Bluetooth LE (vBLE) technology. The SDK allows mobile applications to communicate with Mist APs using BLE beacons that are transmitted by the client devices.

The devices with the SDK-enabled app have Bluetooth enabled, but they do not appear in the Mist GUI under Clients/App Clients because the AP BLE radios do not hear the SDK-enabled client’s BLE beacons. This could be due to various factors such as interference, distance, obstacles, or configuration issues that affect the BLE signal strength and quality.

According to Coverage SLE, Asymmetry Downlink classifier tracks a client that transmits at lower data rate than AP to which it is connected.So the correct answer is A.Asymmetry Downlink

In the architecture of aMist AI Real-Time Location System (RTLS), the process of moving from raw signal data to an actionable event involves several distinct layers. To understand why thelocation systemis the correct answer, we must examine how Mist processes Location-Based Services (LBS).

The workflow begins withlocation sensors(typically Mist Access Points). these sensors collect raw Bluetooth Low Energy (BLE) or Wi-Fi signals (RSS measurements) from tracked assets or mobile devices. These raw data points are then transmitted to the cloud-basedMist AI engine. Thelocation system(often referred to as the Location Engine within the Mist Cloud) is the specific functional component responsible for calculating the precise X/Y coordinates of the device using machine learning and trilateration algorithms.

However, its role does not end at mere coordinate calculation. The Mist location system is designed to be "context-aware." Once the coordinates are established, the system maps these coordinates against definedzones, virtual beacons (vBeacons), or geofencesconfigured in the Mist dashboard. When a device’s coordinates intersect with a predefined boundary, the location system triggers alocation-aware action. This could include sending a webhook to a third-party application, pushing a proximity notification to a mobile SDK client, or recording a "visit" in the analytics engine.

WhileJuniper Mist Edgehandles data plane tunneling andMarvis Minisacts as a digital twin for network simulation, they do not manage the coordinate-to-action logic. Thelocation systemis the intelligence that bridges the gap between spatial data and business logic, ensuring that the right client receives the right trigger based on their physical presence within a venue.

InJuniper Networks Mist AI Wireless,dynamic packet capture (dPCAP)is tightly integrated with events to enable rapid, context-aware troubleshooting. When Mist detects a systemic issue—such as aDHCP server becoming unresponsive—it automatically generates asite-level eventbecause the problem impacts multiple devices within a site rather than a single client.

As shown in the exhibit, the event “DHCP is Unresponsive” lists multiple impacted devices and includes a timeline of contributing network events. This classification is critical: DHCP infrastructure failures are treated assite events, not client-specific or organization-wide events. When such a site event is triggered, Mist can automatically perform adynamic packet captureon the relevant access points to capture DHCP Discover, Offer, Request, and Acknowledgment (DORA) traffic in real time.

To access this packet capture, an administrator must:

Navigate to theimpacted siteidentified in the event.

Open thecorresponding site event(in this case, the DHCP unresponsive event).

Download theautomatically generated packet capture file, which can then be opened inWiresharkfor detailed protocol-level analysis.

The incorrect options are explained as follows:

Organization eventsprovide high-level visibility and auditing but do not host packet captures.

Client eventsare used when a single client experiences issues; they are not appropriate when multiple devices are impacted by a shared service failure.

Verifying an impacted client does not expose the dynamic packet capture tied to a site-wide DHCP issue.

Therefore, the correct method is toverify the impacted site and use the corresponding site event to fetch the automatically generated packet capture, makingOption Bthe correct answer.

As part of the Throughput SLE in the Mist UI, the Coverage classifier indicates the signal strength of the client.

When deploying multiple Mist APs across many sites in your network and grouping similar devices together to easily apply consistent WxLAN policies across multiple sites, you should use device profiles.

Transmissions over Wi-Fi are shared medium and half-duplex.

According to the IEEE 802.11 - Wikipedia document2, two terms that correctly describe transmissions over Wi-Fi are:

Shared medium, which means that multiple devices use the same wireless channel and have to compete for access and avoid collisions.

Half-duplex, which means that devices can either transmit or receive data at a time, but not both simultaneously.

In the context of Juniper Mist AI and high-performance wireless design,Co-Channel Contention (CCC)—often referred to as Co-Channel Interference (CCI)—occurs when two or more access points (APs) share the same frequency channel and are within "hearing" distance of one another.1The key to understanding this specific range lies in the802.11 CSMA/CAmechanism, specifically theClear Channel Assessment (CCA)process.

When a Mist AP or a client device wants to transmit, it first performs a CCA. If it detects a Wi-Fi preamble from another device on the same channel at a signal strength above theSignal Detect (SD)threshold (typically around -82 to -85 dBm for many radios, though performance drops much sooner), it must defer its transmission. However, for "contention" to become a significant performance bottleneck that triggers Mist SLE alerts, the signal strength usually falls within the-45 dBm to -65 dBmrange.

In this range, the signals are strong enough that the APs are effectively "in the same room" or nearby rooms, meaning they will constantly see the medium as "busy" whenever the other AP is transmitting. This effectively merges the two APs into a single contention domain, forcing them to share the total available airtime. For example, if two APs on the same channel both see each other at -60 dBm, they cannot transmit simultaneously; instead, they must take turns.

Mist'sRadio Resource Management (RRM)and theCapacity SLEspecifically monitor for these overlapping BSS (OBSS) conditions. If the AI detects that an AP is seeing a neighbor on the same channel at these high signal levels, it will attempt to change the channel or reduce transmit power to "shrink" the cell size, aiming to push the neighbor's signal strength below the point where it causes constant deferrals, thereby improving the overall capacity and user experience for the site.

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide2, a device profile is a configuration object that allows you to group similar devices together and apply consistent WxLAN policies across multiple sites. A device profile defines parameters such as device type, OS, and MAC address.

When deploying three WLAN 2.4 GHz networks in your US-based site while ensuring that each network frequency is unique and does not overlap with other frequency channels, you should use OFDM channels 1, 6 and 11. So the correct answers are B.1, D.6, and A.11.

Two correct statements about Juniper Mist Dynamic Packet Capture are that no configuration is necessary for Mist’s Dynamic Packet Capture and it is automatically attached to a client event displayed on the Insights page. So the correct answers are A. No configuration is necessary for Mist’s Dynamic Packet Capture and B. It is automatically attached to a client event displayed on the Insights page.

InJuniper Networks Mist AI Wireless, Juniper prescribes atop-down, structured troubleshooting methodologywhen using Service-Level Expectations (SLEs). This approach ensures that engineers identify systemic issues before drilling into individual client problems, preventing misdiagnosis and wasted effort.

The correct troubleshooting order is:

Organization → Site → SLE → Client

Organization of interestTroubleshooting always begins at the organization level. This provides a global view of overall health, license status, widespread outages, and configuration changes that may impact multiple sites. Organization-level visibility helps determine whether the issue is localized or systemic.

Site of interestAfter confirming the organization is healthy, the next step is narrowing the scope to the affected site. Site-level views expose infrastructure issues such as WAN problems, DHCP outages, AP connectivity issues, or RF-wide anomalies that affect many users simultaneously.

SLE of interestOnce scoped to the site, administrators identify the specific degraded SLE (for example, Time to Connect, Coverage, Capacity, or Throughput). Each SLE includes classifiers that pinpoint the likely root cause, such as DHCP, DNS, authentication, or RF interference.

Client of interestOnly after isolating the failing SLE should troubleshooting move to the individual client level. Client views provide detailed timelines, event history, and packet-level insights to confirm whether the issue is isolated or a symptom of a broader problem.

The other answer choices are incorrect because they start with either the SLE or client, which risks overlooking organization-wide or site-wide conditions. Juniper’s recommended workflow ensures efficient, accurate fault isolation and aligns with how Mist AI correlates telemetry and events.

Therefore, the correct answer isA. Organization of interest, site of interest, SLE of interest, client of interest.

The Compatible WLAN data rate setting is required for legacy 2.4 GHz scanners to connect to the WLAN.

According to the Data Rates - Mist document4, the WLAN data rate setting that is required for legacy 2.4 GHz scanners to connect to the WLAN is Compatible. This setting enables all data rates from 1 Mbps to 54 Mbps for both 2.4 GHz and 5 GHz bands. This setting is recommended for legacy devices that need low data rates to connect.

When a customer replaces their previous WLAN controller with a Mist Edge in order to maintain centralization of user traffic, control plane forwarding applies to the Mist Cloud while data plane forwarding applies to the Mist Edge. So the correct answer is A. Control plane forwarding applies to the Mist Cloud and data plane forwarding applies to the Mist Edge.

The 37% of Successful Connects suggest that 63% failed – however, these are spread between both LD_Testbed_MD and LD_RS_Support. If the only AP with connection issues was LD_RS_Support then the reverse math may have worked.

 According to the Data Rates - Mist document1, a honeypot AP is an AP that is not associated with your network, but broadcasts your corporate login page and WLAN name. This is a type of rogue AP that tries to trick users into connecting to it and revealing their credentials or other sensitive information.

In the Juniper Mist AI ecosystem,Service Level Expectations (SLEs)provide a proactive way to monitor the health of a wireless network from the perspective of the end-user. When investigating potential interference—whether it is from neighboring Wi-Fi networks or non-Wi-Fi sources like microwaves or motion sensors—theCapacity SLEis the primary metric to analyze. While interference certainly impacts the overallThroughputSLE, Mist categorizes the specific environmental factors that limit airtime availability under the "Capacity" umbrella.

The Capacity SLE tracks "user minutes" during which a client experiences a drop in available RF channel capacity. It is specifically designed to identify why a client might be struggling to transmit data despite having a strong signal. Within the Capacity SLE block, Mist provides granularclassifiersthat pinpoint the root cause of the capacity degradation. These classifiers include:

Wi-Fi Interference:This identifies airtime contention caused by other 802.11 networks (Co-Channel Interference or Adjacent Channel Interference).

Non-Wi-Fi Interference:This identifies energy from non-802.11 sources detected by the AP's dedicated scanning radio.

Client Count:High density leading to contention.

Client Usage:A single "bandwidth hog" consuming the available airtime.

By checking the Capacity SLE in the Mist dashboard before heading to a site, an administrator can see a historical timeline of interference events. If the "Wi-Fi Interference" or "Non-Wi-Fi Interference" classifiers show a high percentage of "Bad User Minutes," the administrator can confirm that the client's complaint is indeed valid. This allows for remote troubleshooting and may even enable the admin to resolve the issue by adjusting Radio Resource Management (RRM) settings or identifying a specific rogue device, potentially saving an unnecessary truck roll.

InJuniper Networks Mist AI Wireless, Radio Resource Management (RRM) uses multiple decision-making systems to adapt the RF environment intelligently. A channel change triggered by the detection ofRADAR on a DFS (Dynamic Frequency Selection) channelis a clear example of anevent-driven RRM action.

DFS channels are regulated frequencies that must be shared with weather, military, and aviation radar systems. Regulatory bodies require wireless devices toimmediately vacate a DFS channelwhen radar activity is detected. When a Juniper Mist AP operating on a DFS channel detects radar signatures, it generates areal-time RF event. This event forces the AP to immediately stop transmitting on that channel and move to a new, non-DFS or alternate DFS channel.

Mist classifies this behavior asevent-driven RRMbecause:

The channel change isreactive, not predictive

It is triggered by aspecific external RF event(radar detection)

It requiresimmediate actionto maintain regulatory compliance and avoid interference

The other options are incorrect for the following reasons:

FCC compliancedefineswhythe change is required, but it is not an RRM system or decision model.

Global optimizationrefers to long-term RF tuning across the network based on historical performance data, not immediate forced changes.

Reinforcement learningis used by Mist to optimize RF parameters over time through continuous learning, not for mandatory, instantaneous responses to radar events.

Mist RRM combinesevent-driven actions,AI-based global optimization, andreinforcement learningto deliver both compliance and performance. In the case of radar detection on a DFS channel, the AP’s channel change is driven by areal-time RF event, makingevent-driven RRMthe correct answer.

According to the Virtual Network Assistant | Juniper Networks US document, Asymmetry Downlink is a classifier under the Coverage SLE that tracks an AP that transmits at a lower data rate than a connected client. This can indicate poor coverage or interference issues that affect downlink performance.