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| Section | Weight | Objectives |
|---|---|---|
| Juniper Mist WLAN Architecture and Deployment | 20% | - Initial setup and access point deployment - API and webhook fundamentals - Mist cloud architecture and components - Account, organization and site management |
| Marvis Virtual Network Assistant | 15% | - Proactive and reactive troubleshooting - Natural language queries and actions - Marvis concepts and capabilities |
| Juniper Mist Network Operations | 15% | - Events, alerts and insights - Monitoring and troubleshooting workflows - Radio Resource Management (RRM) - Wi-Fi Assurance and Service Level Expectations (SLE) |
| Wi-Fi Fundamentals | 20% | - Modulation, coding and channel access - WLAN association, roaming and lifecycle - Frequency bands and RF principles - 802.11 PHY protocols |
| Juniper Mist WLAN Concepts | 20% | - WxLAN policies and guest services - Multi-PSK and advanced policy features - WLAN configuration and security - Wireless intrusion detection and prevention |
| Juniper Mist Location-Based Services | 10% | - Wi-Fi and vBLE location technologies - User engagement and asset tracking - Proximity services and analytics |
>> JN0-452 Reliable Test Dumps <<
The desktop-based practice exam is customizable, tracks your progress, and creates a real Mist AI Wireless, Specialist (JNCIS-MistAI-Wireless) (JN0-452) exam environment. This software works offline on Windows computers. The web-based practice exam is similar to the desktop-based practice exam and can be taken on any browser without needing to install separate software. Moreover, the web-based Mist AI Wireless, Specialist (JNCIS-MistAI-Wireless) (JN0-452) practice exam is also compatible with all operating systems.
NEW QUESTION # 65
A network-related issue is identified and Mist automatically captures the problem into a dynamically generated packet capture. In this scenario, where would a network administrator download these packet captures in the Mist UI?
Answer: B
NEW QUESTION # 66
Click the Exhibit button.
Users are occasionally having problems connecting to the Internet using Wi-Fi. You suspect possible interference from a neighboring Wi-Fi network.
Referring to the exhibit, which Wi-Fi Assurance SLE and classifier would provide information about this issue?
Answer: B
Explanation:
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.
NEW QUESTION # 67
Click the Exhibit button.
Referring to the exhibit, which two statements are correct? (Choose two.)
Answer: A,C
Explanation:
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.
NEW QUESTION # 68
You want to review the roaming activity of a specific wireless client. In this scenario, which two Marvis features would you use to accomplish this task? (Choose two.)
Answer: A,D
Explanation:
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.
NEW QUESTION # 69
According to a Juniper Networks, it is recommended that devices using Mist location-based services (LBS) have line-of-sight to how many APs?
Answer: A
Explanation:
Juniper advises that devices using Mist location-based services have line-of-sight to at least two APs to achieve accurate location performance.
NEW QUESTION # 70
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