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

 According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide1, RF templates are assigned to sites, which are logical groupings of devices based on physical location or other criteria. RF templates allow you to configure RF parameters such as channel width, transmit power, and data rates for multiple devices at once.

the Post-Install user role is also known as Installer role, which has a minimum level of access to the org, sites, and APs. It can do the initial installation such as claim AP to Org, assign/unassign AP, or place on map, etc., but cannot unclaim or remove the AP from the Org. Site and AP access is allowed based on timed grace period and/or explicit site access.

https://www.mist.com/documentation/mist-ai-mobile-app/

In Juniper Networks Mist AI Wireless, Service Level Expectations (SLEs) are used to measure and assure real user experience across the wireless network. Each SLE is built on specific classifiers, which break down failures into root causes such as DHCP, DNS, authentication, RF conditions, or application issues. Understanding which SLEs rely on DHCP classification is essential for accurate troubleshooting.

The two Wireless Assurance SLEs that include a DHCP classifier are Successful Connects and Time to Connect.

The Successful Connects SLE measures whether client devices are able to complete the full connection process successfully. This process includes association, authentication, and critically, DHCP address assignment. If a client fails to obtain an IP address, the connection is considered unsuccessful, and the failure is explicitly classified as a DHCP issue within this SLE.

The Time to Connect SLE measures how long it takes for a client to connect from the moment it initiates association until it is fully usable on the network. One of the key components of this timeline is the DHCP transaction time. Slow DHCP responses, retransmissions, or server delays directly increase the overall connection time, and Mist classifies these delays under DHCP within the Time to Connect SLE.

The other options are incorrect for the following reasons:

Roaming SLE focuses on re-association, authentication, and mobility events, not DHCP, since IP addressing is typically retained during roaming.

Coverage SLE evaluates RF signal strength, SNR, and cell overlap, with no dependency on DHCP.

Throughput SLE measures data transfer performance after connectivity is established and does not analyze DHCP behavior.

Therefore, the correct answer is Successful Connects and Time to Connect, as both SLEs directly depend on and classify DHCP-related performance and failures within Mist Wireless Assurance.

To review and troubleshoot the roaming activity of a specific client within a Juniper Mist environment, administrators rely on the conversational and analytical power of the Marvis Virtual Network Assistant (D) and its underlying Marvis Query Language (C). While other Marvis components like Actions focus on organization-wide health and Minis focus on synthetic testing, the VNA and MQL are specifically designed for deep-dive investigations into individual client experiences.

The Marvis Virtual Network Assistant (VNA) serves as the primary interface for this task. It allows an administrator to interact with the Mist AI using natural language. By typing a request such as "Troubleshoot client [Client Name]" or "How was the roaming for [Client Name]?", Marvis VNA aggregates all relevant telemetry data—including signal strength (RSSI), AP transitions, and authentication timings—into a simplified, human-readable summary. It provides a visual timeline of where the client moved and whether each roam was successful, slow, or failed.

Behind the scenes, these natural language requests are often converted into or powered by the Marvis Query Language (MQL). MQL is a structured way to query the Mist Graph API. For specific roaming reviews, the ROAMINGOF clause is used to filter the massive Mist data set for events related only to that client's mobility. For example, a query like roaming of "User-1" during last 24 hours will return a detailed data set showing the "From AP" and "To AP" details, the delta in signal strength during the handoff, and any associated latency.

By using these two features together, administrators can distinguish between a "sticky client" (one that refuses to roam despite a better signal being available) and a "coverage hole" (where the signal drops too low before a new AP is detected). This AI-driven approach eliminates the need for manual packet captures or log parsing, significantly reducing the Mean Time to Repair (MTTR) for mobility-related issues.

If a customer added an Apple TV in their conference room so that employees can easily share their screen but the Apple TV cannot be discovered by the employees’ devices, two settings that could be causing this problem are MDNS and Broadcast/Multicast. So the correct answers are A. MDNS and B. Broadcast/Multicast.

According to the Lecture 3 - Radio Frequency and Antenna Fundamentals - Part 2 document3, two layers that are different between Ethernet and Wi-Fi in the OSI networking model are:

Media access control (MAC) sub-layer, which is part of the data link layer and defines how devices access and share the wireless medium.

Physical layer, which defines how data is encoded and transmitted over the wireless medium.

In Juniper Networks Mist AI Wireless, controlling client connection quality is a critical part of maintaining high Service Level Expectations (SLEs). One of the most effective ways to ensure good user experience is by enforcing a minimum acceptable RSSI (Received Signal Strength Indication) threshold for client devices. This functionality is implemented using wireless traffic filtering at the WLAN level.

Wireless traffic filtering allows administrators to define minimum and maximum RSSI thresholds that determine whether a client is permitted to associate or remain connected to an SSID. If a client’s RSSI falls below the configured minimum threshold, the AP can deny association requests or deauthenticate the client. This prevents low-signal or “sticky” clients from connecting at poor signal levels, which would otherwise result in excessive retries, low data rates, increased airtime consumption, and degraded performance for all users.

Mist applies these controls intelligently and surfaces their impact through AI-driven analytics. When low-RSSI clients are filtered, Mist can correlate improvements in throughput, latency, and roaming behavior directly to RF health and client quality metrics. This aligns with Mist best practices, which emphasize proactive client quality enforcement rather than reactive troubleshooting.

The incorrect options are explained as follows:

WLAN forwarding determines how traffic is bridged, tunneled, or NATed and has no impact on RSSI enforcement.

Geofencing is used for location-based services and RTLS use cases, not RF signal quality control.

WLAN rate limit restricts bandwidth usage per client or SSID but does not evaluate or enforce signal strength requirements.

Therefore, the correct feature required to set an acceptable minimum RSSI for client devices is wireless traffic filtering, which directly controls association behavior based on signal quality and helps maintain optimal wireless performance.

In 802.11 wireless networking and the Juniper Mist ecosystem, Passive Scanning is one of the two primary methods a client station (STA) uses to discover available wireless networks.4 In this mode, the client radio does not transmit any data to find an Access Point. Instead, it "waits and listens" on each supported channel for a specific period of time to hear Beacon Frames.5

Beacons are management frames sent periodically by an AP (typically every 100ms) to announce the presence and capabilities of a Basic Service Set (BSS).6 These frames contain critical information such as the SSID (Network Name), supported data rates, security protocols (RSN), and PHY requirements.7 Because the client only needs to keep its receiver active and does not have to power up its transmitter to send probe requests, passive scanning is significantly more power-efficient than active scanning, making it ideal for battery-constrained IoT devices.

However, the trade-off for this power efficiency is time. Since a client must stay on each channel long enough to guarantee it hears a beacon (at least one full beacon interval), scanning the entire 2.4 GHz, 5 GHz, and 6 GHz spectrum can take several seconds. In contrast, Active Scanning (options B, C, and D) involves the client sending Probe Requests (either wildcard/null or directed to a specific SSID) and waiting for a much shorter period for a Probe Response.8

From a Mist AI perspective, the dedicated scanning radio in Mist APs (like the AP43/AP45) performs its own version of passive and active scanning to build a complete map of the RF environment. This data is used by Marvis to detect "Neighbor" and "Honeypot" APs. While most modern mobile clients prefer active scanning to speed up the discovery and roaming process, passive scanning remains a fundamental requirement—especially on DFS channels where regulatory rules prohibit a client from transmitting until it has first "listened" to confirm no radar is present.

In Juniper Networks Mist AI Wireless, a rogue access point (AP) is precisely defined to avoid confusion with external or non-threatening wireless devices. Mist qualifies a rogue AP as an 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 is not 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 APs are 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 RSSI may simply be physically nearby but not connected to your infrastructure; proximity alone does not make an AP rogue.

Honeypot APs are 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 as an unauthorized AP connected to your wired network, making option A the correct answer.

In the Juniper Mist AI ecosystem, troubleshooting the mobility experience of a user requires analyzing the transitions between Access Points (APs). When a client reports a "poor experience when moving," it almost always points to a breakdown in the roaming process, such as sticky clients (devices that refuse to move to a closer AP), slow handoffs, or authentication failures during a roam. The Marvis Query Language (MQL) provides a conversational and structured way to extract this specific data using the ROAMINGOF clause.

The ROAMINGOF clause is designed to filter the massive amount of telemetry collected by Mist and focus specifically on the events surrounding a client's transition from one radio to another. When you execute a query like "Roaming of [Client Name]," Marvis returns a detailed visualization of the client's journey. This includes the signal strength (RSSI) at the time of the roam, the duration of the handoff, and whether the roam was "successful," "slow," or "failed".

By using this clause, an administrator can quickly identify if the "poor experience" is caused by poor overlap (where RSSI drops too low before a new AP is found) or if the client is holding onto a distant AP (sticky client behavior). Other clauses like STATUSOF (A) are used for general health checks, UTILIZATIONOF (C) tracks radio or site traffic levels, and RANK (D) is typically used to identify the best or worst performing entities (like "Rank APs by interference"). Only ROAMINGOF provides the temporal and spatial correlation needed to fix issues specifically related to user movement within the office environment.

According to the Create a Mist Account and Organization - Mist document1, two fields that are required when creating a new site are:

Site name, which is a unique identifier for the site within the organization.

Time zone, which is used to display the correct time for events and reports related to the site.

According to the Wi-Fi configuration with Mist Systems | HCD Consulting GmbH document, three available rate limiting options in the Mist UI are:

A firewall is a network security system that monitors and controls incoming and outgoing network traffic based on predetermined security rules. It typically establishes a barrier between a trusted internal network and an untrusted external network, such as the Internet .

The Clone Site feature in the Juniper Mist dashboard is a powerful tool designed to streamline the deployment of new physical locations by duplicating the environmental and operational logic of an existing "gold standard" site. However, to avoid configuration conflicts (such as duplicate addresses) and to maintain the integrity of the hierarchy, Mist is selective about which objects are carried over during the cloning process.

According to Juniper Mist documentation, only the settings visible on the Site Configuration page are copied to the new site. This specifically includes:

Auto Firmware Upgrade settings (A): The specific versioning (Production vs. RC) and the weekly or daily maintenance windows defined for the site are preserved. This ensures that the new site follows the same lifecycle management policy as the primary site.

RF Templates (B): The radio resource management (RRM) profile assigned to the site is copied. This includes channel planning, bandwidth settings (20/40/80 MHz), and power level constraints tailored for that environment.

Other Site-Level Settings: This also includes Webhooks, Rogue/Honeypot AP detection rules, and Location Services settings.

Conversely, certain objects are explicitly not copied. The Site Location (C) and Site Name are excluded because each site must be geographically unique for accurate mapping and time zone calculation. WLANs (D) are also not copied through the Clone Site function; SSIDs are typically managed at the Organization level via WLAN Templates, which are then mapped to sites or site groups rather than being "hardcoded" into an individual site's local configuration. By cloning the site-specific parameters like RF templates and upgrade schedules, Mist allows administrators to rapidly scale their infrastructure while ensuring the core network access (WLANs) is maintained through the overarching organizational policy.

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

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide1, roaming is the process of moving a wireless client device from one AP to another while maintaining network connectivity. The client device determines when it is time to connect to another AP based on its own roaming algorithm and criteria.

In Juniper Networks Mist AI Wireless, access points must be claimed to an organization in the Mist cloud before they can be configured, monitored, and managed. When deploying APs at scale, Juniper provides an efficient mechanism to onboard multiple access points simultaneously using an activation code.

An activation code is a bulk-claim method generated within the Mist cloud portal. This code is typically associated with a purchase order or shipment and can represent dozens, hundreds, or even thousands of access points. When the activation code is applied to an organization, all APs tied to that code are automatically claimed at once. This approach is especially valuable for enterprise and campus deployments, where manual per-device onboarding would be impractical.

Once claimed using an activation code, APs can be assigned to sites, receive configurations, and leverage Zero-Touch Provisioning (ZTP). As soon as the APs obtain network connectivity and reach the Mist cloud, they automatically download their configuration and become operational without further manual intervention.

The other options are incorrect for the following reasons:

QR codes are used for claiming individual APs, typically during small deployments or troubleshooting scenarios.

Digital certificates are used for secure authentication and communication but are not a method for claiming APs to an organization.

The Juniper Mist Mobile Application can assist with onboarding and visibility but does not provide a bulk-claim mechanism for large numbers of APs.

Therefore, the correct and documented method for claiming multiple Juniper Access Points simultaneously is to use an activation code, making option A the correct answer.

In Juniper Networks Mist AI Wireless, access points discover upstream switch and port information using Link Layer Discovery Protocol (LLDP). LLDP is an IEEE-standard, vendor-neutral Layer 2 discovery protocol designed specifically to allow network devices to advertise and learn information about directly connected neighbors.

When a Juniper Mist AP connects to a wired switch, it uses LLDP to exchange information such as:

Switch hostname and chassis ID

Switch port identifier

VLAN details

Power over Ethernet (PoE) capabilities and power allocation

This information is critical for Mist operations and visibility. It enables the Mist cloud to accurately display AP-to-switch mappings, identify the exact switch port an AP is connected to, validate PoE delivery, and assist with troubleshooting wired-side issues that impact wireless performance. LLDP data is also leveraged by Mist AI and Marvis to correlate wired and wireless events, improving root-cause analysis.

The other options are incorrect for the following reasons:

CDP (Cisco Discovery Protocol) is a Cisco-proprietary protocol and is not used by Juniper Mist APs for switch discovery.

ARP (Address Resolution Protocol) resolves IP addresses to MAC addresses and does not provide device or port identity information.

SNMP is a management and monitoring protocol used by controllers or management systems, not by APs for neighbor discovery.

Because LLDP is standards-based, lightweight, and designed for neighbor discovery, it is the correct and supported protocol used by Juniper Mist APs to learn switch information.

Therefore, the correct answer is D. LLDP.

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide1, a config template is a configuration object that can be used to apply consistent WxLAN and WLAN policies across all sites within the same organization. A config template can be applied to a site group, which is a collection of sites that share common attributes.

According to the Mist documentation1, WLANs are wireless networks that can be configured with different settings such as SSID, security, encryption, authentication, etc. WLANs can be created and managed at different levels of hierarchy in the Mist cloud.

The site group level allows you to create and apply WLANs to a group of sites that share common characteristics or requirements2. This helps you to simplify and standardize your WLAN configuration across multiple sites.

The site level allows you to create and manage WLANs for a specific site that may have unique needs or preferences1. This gives you more flexibility and granularity for your WLAN configuration at each site.

Basic data rates are the required data rates that all devices on a wireless network must support in order to connect to the network. These rates are used for management and control frames and can affect the performance of the network.

According to the Lecture 3 - Radio Frequency and Antenna Fundamentals - Part 2 document2, basic data rates are required data rates that all devices must support to communicate on a WLAN.

In the context of Juniper Mist WxLAN Security and Rogue AP detection, Mist AI categorizes surrounding access points into specific buckets based on their behavior and their connection to the local network infrastructure. Understanding the distinction between a Rogue AP and a Honeypot AP is essential for proper security posture.

A Honeypot AP (C) is specifically defined as an unauthorized access point that is broadcasting one of your organization's protected SSIDs (or a very similar one) but is not physically connected to your wired network. This is a classic "Evil Twin" attack where a malicious actor attempts to trick corporate users into connecting to a fake signal. Because the clients’ devices are often programmed to auto-associate with known SSIDs, they may unknowingly connect to the Honeypot AP, allowing the attacker to intercept traffic, perform man-in-the-middle attacks, or harvest credentials. Mist APs use their dedicated scanning radio (found in the AP43, AP45, and similar models) to constantly monitor the airwaves for these spoofed SSIDs.

In contrast, a Rogue AP (D) is an unauthorized AP that is physically connected to your corporate wired network (LAN). Mist identifies these by correlating the MAC addresses seen on the air with those seen on the wired switch ports. A Neighbor AP (B) is simply an AP from a nearby business that is broadcasting its own unique SSID and is not connected to your network; these are ignored by security alerts.

By classifying the threat as a Honeypot, Mist AI informs the administrator that the threat is external to the wired infrastructure but poses a direct risk to client data. Mist can even be configured to take automated action, such as sending de-authentication frames to prevent clients from successfully staying connected to the malicious Honeypot AP.

In wireless networking, Adjacent Channel Interference (ACI) occurs when two or more access points transmit on partially overlapping RF channels, causing their signals to interfere with one another. In the context of Juniper Networks Mist AI Wireless, ACI is a critical RF condition that negatively impacts client performance and service-level expectations (SLEs).

ACI is most commonly observed in the 2.4 GHz band, where only three non-overlapping channels (1, 6, and 11) are available. When access points are configured on channels such as 1 and 3, or 6 and 8, their frequency spectra overlap. This overlap results in corrupted frames, increased retransmissions, higher latency, and reduced throughput for connected clients. Unlike co-channel interference, ACI introduces uncoordinated interference, which is more damaging to overall network efficiency.

Mist AI Wireless continuously analyzes RF telemetry collected from access points and clients to identify ACI conditions. Using machine learning and RF intelligence, Mist can detect excessive retries, PHY errors, and degraded airtime efficiency associated with overlapping channels. These findings are surfaced through Marvis AI insights and RF-related SLE degradation indicators, allowing operators to quickly identify misconfigurations.

The incorrect options can be explained as follows:

Option A describes a properly designed RF environment with non-overlapping channels, which does not cause ACI.

Option C refers to co-channel interference (CCI), where access points share the same channel and rely on contention-based access mechanisms.

Option D is too broad; simply operating in the 2.4 GHz band does not inherently cause ACI unless overlapping channels are used.

To mitigate ACI, Mist best practices recommend using non-overlapping channels, minimizing channel width, and favoring the 5 GHz and 6 GHz bands where more clean spectrum is available. Therefore, the correct description of ACI is two or more access points operating on overlapping channels.

Within the Juniper Mist AI ecosystem, telemetry data and network activities are organized into distinct categories to facilitate efficient troubleshooting and monitoring. While "Organization" (A) represents a management hierarchy and "Security" (C) is a functional domain (such as Rogue AP detection or WxLAN policies), Mist specifically filters operational events into three primary categories: Site, AP (Access Point), and Client. These categories are reflected across the Mist dashboard, particularly within the Insights and Monitor views.

Site Events (E) represent macro-level issues that affect the entire physical location or a significant portion of the network infrastructure. Examples include DHCP server unreachable errors, DNS latency spikes, or site-wide configuration changes. These events are crucial for identifying systemic problems that originate from the wired side of the network or the local environment rather than individual wireless devices.

AP Events (B) focus on the health and status of the hardware itself. This category includes events such as AP reboots, firmware upgrades, Ethernet link toggling (up/down), and radio failures. By filtering for AP-specific events, administrators can quickly determine if a connectivity issue is localized to a specific hardware unit or a PoE power supply problem.

Client Events (D) provide the most granular level of visibility, tracking the specific journey of an end-user device. This includes the entire 802.11 state machine: association, authentication, and DHCP handshake. Client events are further classified as "Good," "Bad," or "Neutral," allowing Marvis AI to correlate failures (like an incorrect PSK or a slow DHCP response) to a specific user session. This three-tiered event structure—Site, AP, and Client—is the foundation of Mist's AI-driven root cause analysis, enabling the system to pinpoint exactly where in the stack a failure occurred.

In the architecture of a Mist 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 the location system is the correct answer, we must examine how Mist processes Location-Based Services (LBS).

The workflow begins with location 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-based Mist AI engine. The location 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 defined zones, virtual beacons (vBeacons), or geofences configured in the Mist dashboard. When a device’s coordinates intersect with a predefined boundary, the location system triggers a location-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.

While Juniper Mist Edge handles data plane tunneling and Marvis Minis acts as a digital twin for network simulation, they do not manage the coordinate-to-action logic. The location system is 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.

The Wi-Fi Assurance SLE and classifier that would provide information about possible interference from a neighboring Wi-Fi network are Capacity and Wi-Fi Interference.

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.

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.

 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.

When using location-based services (LBS) at a new warehouse and placing APs on the floor plan with correct scale while ensuring correct location accuracy in this scenario where APs are mounted on trusses 14 feet (4.3 meters) from floor, two actions that should be taken are installing Virtual Beacons in each aisle and configuring height of each AP. So the correct answers are A. Install Virtual Beacons in each aisle and B. Configure height of each AP.