Juniper JN0-452 Mist AI Wireless - Specialist (JNCIS-MistAI-Wireless) Exam Practice Test

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.

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, 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—the Capacity SLE is the primary metric to analyze. While interference certainly impacts the overall Throughput SLE, 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 granular classifiers that 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.

The Wireless Assurance SLE that provides information on whether a user is able to associate to the WLAN is Successful Connect. So the correct answer is A. Successful Connect.

When deploying a Juniper Mist Edge VM (Virtual Machine), the networking architecture is designed to separate different types of traffic to ensure security, scalability, and efficient data handling. Unlike a traditional hardware controller that might use a single trunk port for all traffic, a Mist Edge VM specifically utilizes three primary logical interfaces to function within a data center environment.

The Out-of-Band (OOB) interface (A) is used exclusively for management and control plane traffic. This interface is what connects the Mist Edge to the Mist Cloud via an encrypted tunnel. It is through this port that the Mist Edge receives configuration updates, reports telemetry data to the AI engine, and allows administrators to monitor the health of the VM. By keeping this traffic out-of-band, Juniper ensures that management tasks do not compete with user data throughput.

The Upstream interface (D) is the "northbound" connection. Its primary role is to connect the Mist Edge to the core network or the internet for user data egress. When client traffic is tunneled from the Access Points (APs) to the Mist Edge, the Upstream interface is where that traffic is de-encapsulated and forwarded to the local network resources or the internet gateway. This interface typically connects to a core switch or a DMZ.

The Downstream interface (B) is the "southbound" connection. This is the entry point for the L2TPv3 or Mist Tunnel traffic coming from the Access Points. The APs establish a secure tunnel to this specific interface to transport user data across the Layer 3 network. This separation allows for granular firewall policies and ensures that the tunnel termination point is distinct from the management plane. While the term "Revenue" (E) is often used in carrier-grade routing to describe data-carrying ports, Mist documentation specifically uses the terms Upstream and Downstream to define the data path.

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide3, three types of devices that are counted by default for occupancy analytics are:

Mobile app clients, which are devices that have a mobile app installed with the Mist SDK or BLE beaconing enabled.

Cellular clients, which are devices that have cellular connectivity and can be detected by Mist APs using LTE sensing.

Wi-Fi clients, which are devices that have Wi-Fi connectivity and can be detected by Mist APs using Wi-Fi scanning.

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide2, Dynamic Packet Capture is a feature that enables capturing packets from a client device and downloading them as a pcap file. This file can be used for troubleshooting purposes or sent to a vendor for analysis.

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 the Juniper Mist dashboard, managing licenses is handled through the Subscriptions page at the Organization level. This page is critical for ensuring that all deployed hardware (Access Points, Switches, and Gateways) has the necessary cloud services—such as Wi-Fi Assurance, Wired Assurance, or Marvis VNA—to function correctly. The subscription page provides a real-time overview of the organization's licensing health using specific status indicators.

The status Active (D) indicates that the subscription is currently within its valid date range and is being utilized by the hardware in the organization. When a subscription is marked as Active, it means the features associated with that license are fully operational, and the Mist Cloud is actively processing telemetry from the associated devices. This is the primary state for all correctly provisioned licenses.

The status Exceed (B) (often displayed as "Exceeded") is a unique and important state in the Mist ecosystem. Unlike many legacy controllers that might shut down services if a license count is surpassed, Mist uses an "honor-based" system combined with clear visual alerting. The Exceed status appears when the number of physical devices claimed and assigned to a site exceeds the total number of available license seats for a specific service. For example, if an organization has 100 "Wi-Fi Assurance" subscription seats but has deployed 110 Access Points, the status will show as Exceeded.

Mist provides a grace period and persistent notifications to administrators to rectify this by either purchasing more subscriptions or removing excess devices. It is important to note that while terms like "Valid" or "Demo" might be used in general conversation, the specific operational statuses tracked in the subscription table to manage license compliance and expiration are Active, Exceeded, and Expired. These statuses allow IT teams to proactively manage their operational expenditures and ensure uninterrupted service for their wireless users.

If a customer wants to broadcast a WLAN at a certain time and day of the week, SSID scheduling should be configured

According to the SSID Scheduling - Mist document1, SSID scheduling is a feature that allows you to customize your WLAN by choosing the exact days and times to broadcast the SSID. This feature can be useful for scenarios where you want to limit the availability of a WLAN to a certain time and day of the week.

The AI VALIDATED status update means that the issue was opened and Marvis confirms it has been closed.

According to the Marvis Virtual Network Assistant Datasheet1, the AI-VALIDATED status update means that the issue was opened and Marvis confirms it has been closed. This status indicates that Marvis has verified that the issue is no longer present and the root cause has been resolved.

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.

Two authentication methods that would be used with a guest portal are social login and external portal. So the correct answers are A. social login and B. external portal.

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide2, two authentication methods that can be used with a guest portal are:

Social login, which allows guests to log in using their social media accounts such as Facebook, Twitter, or Google.

External portal, which allows guests to log in using an external web server that hosts a custom portal page.

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

According to the Lecture 3 - Radio Frequency and Antenna Fundamentals - Part 2 document2, an extended service set (ESS) is a group of basic service sets (BSSs) that share a common SSID and are connected by a distribution system (DS). Each BSS within the ESS has its own unique BSSID, which is the MAC address of the AP.

In a traditional wireless environment, verifying the functionality of network services like DHCP, DNS, or captive portals requires a physical presence at the site or an active client to report telemetry. However, the Marvis Minis feature within the Juniper Mist AI ecosystem is specifically designed to solve the problem of "empty site" verification. Marvis Minis act as Digital Twins—virtualized client agents that reside directly on the Mist Access Points (APs).

Because they are integrated into the AP firmware, Marvis Minis can simulate client behavior without requiring any actual user devices to be connected to the WLAN. When an administrator wants to verify that DHCP is working on a specific SSID, Marvis Minis perform automated "synthetic testing." The virtual client will attempt to associate with the WLAN, complete the 802.11 authentication/association process, and then request an IP address via DHCP. If the DHCP server is unreachable, the pool is exhausted, or the response is too slow, Marvis Minis will detect this failure and report it to the Mist Cloud.

This proactive validation is part of Mist’s "Always-On" network testing strategy. While Marvis Actions (D) would eventually report a DHCP failure once real clients started failing, and Marvis Query Language (C) could be used to search for historical failures, only Marvis Minis (B) can actively test and verify the service in a scenario where there are currently no clients. This allows engineers to identify and fix "sleeping" issues—such as a misconfigured VLAN on a switch port or a downed DHCP server—before the first user even walks into the building, ensuring a "validated" network state at all times.

In Juniper Networks Mist AI Wireless, the behavior described in this scenario is explained by dynamic rate shifting. Dynamic rate shifting is the mechanism by which a wireless client and access point automatically adjust the modulation and coding scheme (MCS) based on current RF conditions to maintain a reliable connection.

When a client is close to an access point, RF conditions are optimal—high RSSI, high signal-to-noise ratio (SNR), and low error rates—allowing the client to use higher-order modulation schemes such as 1024-QAM (in 802.11ax). These modulation schemes deliver higher throughput but require very clean RF conditions. As the client moves farther away from the AP, signal strength decreases and noise becomes more impactful, increasing frame errors and retransmissions.

Dynamic rate shifting continuously evaluates transmission success, retry rates, and acknowledgments. When errors increase, the client steps down to lower modulation rates (for example, from 1024-QAM to 256-QAM or 64-QAM) that are more resilient to reduced signal quality. This trade-off sacrifices peak throughput in favor of connection stability and reliability.

The other options describe contributing factors, but not the mechanism itself:

RSSI indicates signal strength but does not control rate selection.

SNR influences modulation decisions but is not the adaptive process.

Free space path loss explains why signal weakens over distance but does not describe how rates are adjusted.

Mist AI Wireless monitors modulation rates, retries, and throughput via advanced telemetry and uses this data in Wireless Assurance SLEs to highlight RF and performance issues. However, the actual process of stepping up or down transmission rates in response to changing RF conditions is governed by dynamic rate shifting.

Therefore, the correct answer is C. Dynamic rate shifting.

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.

In Juniper 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 of RADAR on a DFS (Dynamic Frequency Selection) channel is a clear example of an event-driven RRM action.

DFS channels are regulated frequencies that must be shared with weather, military, and aviation radar systems. Regulatory bodies require wireless devices to immediately vacate a DFS channel when radar activity is detected. When a Juniper Mist AP operating on a DFS channel detects radar signatures, it generates a real-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 as event-driven RRM because:

The channel change is reactive, not predictive

It is triggered by a specific external RF event (radar detection)

It requires immediate action to maintain regulatory compliance and avoid interference

The other options are incorrect for the following reasons:

FCC compliance defines why the change is required, but it is not an RRM system or decision model.

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

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

Mist RRM combines event-driven actions, AI-based global optimization, and reinforcement learning to deliver both compliance and performance. In the case of radar detection on a DFS channel, the AP’s channel change is driven by a real-time RF event, making event-driven RRM the correct answer.

According to the exhibit, the WLAN has a minimum basic rate of 24 Mbps for both 2.4 GHz and 5 GHz bands. This corresponds to the high-density data rate setting in Mist, which disables all data rates below 24 Mbps. This setting is recommended for high density designs, where clients have enough signal strength and quality to operate at higher rates.

In the Juniper Mist architecture, the location system (often referred to as the Mist Location Engine) is the centralized intelligence residing in the cloud that transforms raw RF data into actionable business intelligence. While hardware components like location sensors (Access Points) collect raw signal strength (RSSI) from BLE tags or mobile devices, they do not possess the logic to understand the spatial context or provide data to external applications.

The location system performs the heavy lifting by taking the telemetry gathered from the vBLE antenna arrays on the APs and applying sophisticated machine learning algorithms.1 It calculates the precise X/Y coordinates of a device on a floor plan. However, the true value of the location system—as highlighted in this scenario—is its ability to correlate these coordinates with the venue's metadata, such as defined zones, virtual beacons, and map scales.

Once the location system has determined where a device is relative to the environment, it translates that physical presence into "usable data." This is primarily achieved through the Mist API and Webhooks. For example, when a tracked device enters a specific "Retail Zone," the location system generates an event that an external CRM application can ingest to push a personalized coupon to a customer. Similarly, in healthcare, the location system correlates a nurse's coordinates with a patient room to automatically log a visit in an Electronic Health Record (EHR) system.

By acting as the middleware between the wireless infrastructure and third-party software, the location system ensures that raw coordinates become meaningful data points—such as dwell times, zone entries, or asset movements—that drive automation and enhance user experiences across various industry verticals.

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.1 The key to understanding this specific range lies in the 802.11 CSMA/CA mechanism, specifically the Clear 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 the Signal 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 dBm range.

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's Radio Resource Management (RRM) and the Capacity SLE specifically 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.

In Juniper Networks Mist AI Wireless, WxLAN policies are evaluated using a top-down, first-match logic. This means that when traffic matches a policy condition, that policy is applied immediately, and no further policies are evaluated. Understanding this evaluation order is critical when troubleshooting access discrepancies between user types such as BYOD and guest users.

From the scenario and the exhibit, guest devices are able to access youtube.com, while BYOD devices are blocked. This indicates that:

The guest WxLAN policy allows “All Video and Music” traffic (which includes YouTube).

The BYOD WxLAN policy blocks “All Video and Music” traffic.

The BYOD policy is evaluated before the guest policy.

Because BYOD users are matched to the BYOD label, their traffic hits the BYOD policy first and is denied before it can reach the more permissive guest policy. Simply modifying labels or deleting policies is unnecessary and could introduce unintended access control issues.

The correct and least disruptive solution is to move the BYOD WxLAN policy above the guest policy and then adjust the BYOD policy rules (for example, allowing YouTube or the “All Video and Music” category). By reordering the policies, you ensure that BYOD traffic is evaluated correctly and receives the intended permissions without impacting guest access.

The incorrect options are explained as follows:

Deleting policies (Options A and C) is not best practice and risks breaking segmentation and access control.

Option B is irrelevant, as the contractor policy does not affect BYOD or guest traffic in this scenario.

Therefore, the correct solution is to move the WxLAN policy for BYOD above the policy for guests, making Option D the correct answer.

 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.

Referring to the exhibit and considering that it is in the USA, the WLAN with SSID Eero1234 is not configured to industry best practices while the WLAN with SSID NETGEAR24 is configured to industry best practices.

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 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.

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide2, you can create a new site configuration under the location hierarchy level in the Juniper Mist UI. A site is a logical grouping of devices based on physical location or other criteria.

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.

Mist Radio Resource Management (RRM) performs several functions including transmit power control and channel assignment which help optimize wireless network performance by dynamically adjusting radio settings based on changing environmental conditions.So,the correct answers are A.transmit power control and C.channel assignment

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide1, two functions of Mist Radio Resource Management (RRM) are:

Transmit power control, which adjusts the transmit power of APs based on their coverage area and interference level.

Channel assignment, which assigns channels to APs based on their location and interference level.

In this scenario, you would begin troubleshooting by checking the WLAN-level Pre-Shared Keys.

According to the Cisco Catalyst 9800 Series Wireless Controller Software Configuration Guide1, you can configure a time-based setting for WLAN-level Pre-Shared Keys (PSKs) that will reset the key after a specified interval. This feature is useful for enhancing security and preventing unauthorized access. If a user reports that the Wi-Fi worked for a week and now it does not work, you should check the WLAN-level PSK settings and see if the key has been changed.

Two events that are displayed under Client Events area found on Insights page are Reassociation and DHCP Denied. So the correct answers are A. Reassociation and D. DHCP Denied.

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.