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| Section | Objectives |
|---|---|
| Topic 1: Mist AI Architecture and Components | - Mist Cloud architecture overview - Access points, gateways, and management models |
| Topic 2: Mist AP Configuration and Deployment | - SSID configuration and policy application - Site creation and AP onboarding |
| Topic 3: AI-Driven Assurance and Marvis | - Network insights and anomaly detection - Marvis AI assistant capabilities |
| Topic 4: Security and Access Control | - Policy enforcement and segmentation - Authentication methods (802.1X, PSK) |
| Topic 5: Troubleshooting and Operations | - Client connectivity troubleshooting - Wireless performance optimization |
| Topic 6: Wireless LAN Fundamentals | - 802.11 standards and RF basics - Channel planning and RF behavior |
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NEW QUESTION # 73
A client calls you to troubleshoot possible interference with your wireless network. Before you drive to the customer's site to investigate, you want to quickly verify if there is actually any interference at all. In this scenario, which SLE is responsible for this interference?
Answer: C
Explanation:
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 SLEis the primary metric to analyze. While interference certainly impacts the overallThroughput 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 granularclassifiersthat pinpoint the root cause of the capacity degradation. These classifiers include:
* Wi-Fi Interference:This identifies airtime contention caused by other 802.11 networks (Co-Channel Interference or Adjacent Channel Interference).
* Non-Wi-Fi Interference:This identifies energy from non-802.11 sources detected by the AP's dedicated scanning radio.
* Client Count:High density leading to contention.
* Client Usage:A single "bandwidth hog" consuming the available airtime.
By checking the Capacity SLE in the Mist dashboard before heading to a site, an administrator can see a historical timeline of interference events. If the "Wi-Fi Interference" or "Non-Wi-Fi Interference" classifiers show a high percentage of "Bad User Minutes," the administrator can confirm that the client's complaint is indeed valid. This allows for remote troubleshooting and may even enable the admin to resolve the issue by adjusting Radio Resource Management (RRM) settings or identifying a specific rogue device, potentially saving an unnecessary truck roll.
NEW QUESTION # 74
Which statement correctly describes adjacent channel interference (ACI)?
Answer: A
Explanation:
Adjacent Channel Interference (ACI) occurs when access points are configured on partially overlapping channels. This causes interference because transmissions from one channel spill into the frequency range of the adjacent channel, degrading performance.
NEW QUESTION # 75
Regarding roaming, which device determines when it is time to connect to another AP?
Answer: C
Explanation:
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.
References: https://www.cisco.com/c/en/us/td/docs/wireless/controller/9800/17-2/config-guide/b_wl_17_2_cg
/roaming.html
NEW QUESTION # 76
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 # 77
A retail store wants to send a promotional notification to any shopper with the store's app who walks past the main entrance. The notification should be triggered within a 5-meter radius of a specific point. Which LBS feature should be configured on the floorplan to create this proximity- based trigger?
Answer: C
NEW QUESTION # 78
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