Juniper JN0-452 Dumps

According to the VLANs (Static & Dynamic) - Mist document3, you can define VLANs as untagged, tagged, or using VLAN pooling in the WLAN settings in the Juniper Mist UI. A WLAN is a wireless network that defines parameters such as SSID, security type, and VLAN.

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.

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.

 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 product portfolio, the BT11 is a specialized, enterprise-grade access point designed exclusively for Bluetooth Low Energy (BLE).4 Unlike the other access points in the Juniper Mist family (such as the AP12, AP24, and AP34), the BT11 does not contain Wi-Fi radios.5 Its sole purpose is to provide high-accuracy, enterprise-grade location-based services (LBS) by leveraging Juniper's patented 16-element virtual BLE (vBLE) antenna array.6

The primary use case for the BT11 is to augment BLE coverage in environments where Wi-Fi connectivity is already established by other APs, but the density of those APs is insufficient for precise location services. For applications like turn-by-turn wayfinding or asset tracking, the RF requirements for BLE are often more stringent than those for Wi-Fi. A facility might have enough Wi-Fi APs to provide data coverage, but may have "location holes" where the BLE signals are too sparse for 1–3 meter accuracy. By deploying BT11 units in these gaps, administrators can extend the reach of the location engine without the expense of adding full-featured Wi-Fi radios where additional capacity is not needed.7

The BT11 communicates directly with the Mist Cloud to manage virtual beacons, which eliminate the need for physical, battery-powered beacons and manual calibration.8 Because it runs on Power over Ethernet (PoE) and integrates seamlessly with the Mist AI engine, it provides a scalable and cost-effective way to ensure continuous, high-fidelity BLE coverage across a campus, hospital, or retail floor.

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.

In Juniper Networks Mist AI Wireless, Juniper prescribes a top-down, structured troubleshooting methodology when 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 is A. Organization of interest, site of interest, SLE of interest, client of interest.

In Juniper 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 a DHCP server becoming unresponsive—it automatically generates a site-level event because 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 as site events, not client-specific or organization-wide events. When such a site event is triggered, Mist can automatically perform a dynamic packet capture on 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 the impacted site identified in the event.

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

Download the automatically generated packet capture file, which can then be opened in Wireshark for detailed protocol-level analysis.

The incorrect options are explained as follows:

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

Client events are 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 to verify the impacted site and use the corresponding site event to fetch the automatically generated packet capture, making Option B the correct answer.

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 the IEEE 802.1X authentication process, the AP acts as an authenticator.

According to the Lecture 5 - Security - Part 1 document, the AP’s role in the IEEE 802.1X authentication process is to act as an authenticator. This means that the AP acts as a gatekeeper between the client device (supplicant) and the RADIUS server (authentication server). The AP forwards authentication messages between the supplicant and the server and grants or denies network access based on the server’s response.

According to the exhibit, the organization has a total of two licenses for Marvis wireless, and one of them is in use. Therefore, the organization has one available license and one used license for Marvis wireless.

Text Description automatically generated with low confidence

According to the Virtual Network Assistant | Juniper Networks US document2, Time to Connect is a Wireless Assurance SLE that has classifiers of Association, Authorization, DHCP, and Internet Services. This SLE measures how long it takes for a client device to connect to the network and access internet services.

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.

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 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 Wikipedia1, 802.1X is an IEEE Standard for port-based network access control (PNAC). It provides an authentication mechanism to devices wishing to attach to a LAN or WLAN using Extensible Authentication Protocol (EAP) over wired IEEE 802 networks and over 802.11 wireless networks, which is known as “EAP over LAN” or EAPOL.

The authentication process involves three parties: a supplicant (the client device), an authenticator (the network device such as an access point), and an authentication server (typically a RADIUS server). The supplicant must provide valid credentials to the authenticator before it can access the network resources.

The credentials are exchanged with a RADIUS server prior to the 4-way Handshake because the 4-way Handshake is used to establish encryption keys between the supplicant and authenticator after successful authentication2. The credentials are exchanged with a RADIUS server after the 802.11 Association because the 802.11 Association is used to establish a logical link between the supplicant and authenticator before authentication can take place3.

Channel bonding combines two adjacent channels to create a wider channel, effectively doubling the available bandwidth. However, this also doubles the required device resources such as power and processing.

According to the Lecture 3 - Radio Frequency and Antenna Fundamentals - Part 2 document2, channel bonding is a technique that combines two adjacent channels into one wider channel to increase throughput. This doubles the available bandwidth but also doubles the required device resources such as power and processing.

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.

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.

In the Juniper Mist dashboard, the Marvis Actions page serves as a centralized "proactive inbox" that identifies critical issues across the organization. However, the depth of information and the ability to interact with these findings are strictly tied to the Marvis Virtual Network Assistant (VNA) subscription.

The Mist dashboard provides a basic level of visibility even without a full Marvis license, allowing administrators to see that certain high-level categories (such as AP, Switch, or Gateway) have identified issues. This is designed to demonstrate the value of the AI engine. However, when you see a lock symbol next to sub-categories or specific Marvis Actions, it indicates that the organizational account does not have an active Marvis VNA subscription for those specific devices.

Without the subscription, the system will not permit the user to "drill down" into the root cause analysis, view historical event timelines, or access the specific remediation steps suggested by the AI. For example, while a standard Wi-Fi Assurance license might show that an AP is offline, the Marvis VNA subscription is what enables the detailed investigation—such as determining if the offline status is due to a cable failure, a bad PoE port on a switch, or a firmware mismatch.

To unlock these features and remove the lock symbols, a SUB-VNA (Virtual Network Assistant) subscription must be applied to the access points in the site. Once licensed, Marvis can provide full "conversational AI" capabilities, allowing you to ask natural language questions about the APs and giving you the interactive tools needed to resolve the issues identified in the Actions dashboard. Therefore, the presence of the lock icon is a direct indicator of a missing or expired subscription tier required for advanced AI-driven troubleshooting.

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.

In Juniper Networks Mist AI Wireless, the strength and quality of a client’s wireless connection are primarily evaluated using RSSI (Received Signal Strength Indicator) and SNR (Signal-to-Noise Ratio). These two metrics are core inputs into multiple Wireless Assurance SLEs, including Coverage and Throughput, and are reliable indicators when determining which client has the weakest WLAN connection.

From the exhibit, the key metrics for each client are:

Client 1: RSSI –81 dBm, SNR 11 dB

Client 2: RSSI –71 dBm, SNR 21 dB

Client 3: RSSI –67 dBm, SNR 25 dB

Client 4: RSSI –70 dBm, SNR 22 dB

In wireless design, lower (more negative) RSSI values indicate weaker signal strength, and lower SNR values indicate poorer signal quality due to higher relative noise. Among all listed clients, Client 1 clearly has the weakest connection, as it has both:

The lowest RSSI (–81 dBm), indicating it is farthest from the AP or experiencing significant attenuation.

The lowest SNR (11 dB), which suggests the signal is only marginally stronger than the background noise.

Mist best practices typically consider RSSI values below –70 dBm and SNR values below ~20 dB as suboptimal for reliable performance, especially for higher modulation schemes. Client 1 falls well below these thresholds, making it the most likely to experience low data rates, retransmissions, and degraded user experience.

Mist AI would flag this client as having poor coverage and may recommend actions such as:

Improving AP placement or density

Adjusting RF power or channel plans

Enforcing minimum RSSI thresholds

Therefore, based on both RSSI and SNR, Client 1 has the weakest WLAN connection, making Option D the correct answer.

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 JNCIS-MistAI Certification page2, two Mist APs that would be used for BLE location are AP33 and AP43. These are the only two models that support vBLE array technology, which enables accurate location services without physical beacons.

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

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 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 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.