Identify the Problem: Suspected issue related to DHCP latency while troubleshooting a wireless client.

Understanding SLEs:

Capacity: Related to the number of clients and bandwidth.

Time to Connect: Measures the time taken for clients to connect, including DHCP latency.

Throughput: Measures the data transfer rate.

Coverage: Measures the signal strength and coverage area.

Selecting the Appropriate SLE:

Time to Connect is the relevant SLE as it includes metrics on DHCP latency, which affects the connection time.

Review the SLE:

Analyze the Time to Connect SLE to identify any latency issues with DHCP.

References:

Mist Documentation on SLEs: Mist Documentation

Claim Codes: Claim codes are unique to each AP and can be used to claim only one AP at a time. This ensures each device is correctly registered and managed individually within the Mist system.

Activation Codes: Activation codes can be used to claim multiple APs at once, facilitating bulk onboarding and simplifying the setup process for large deployments.

References:

Juniper Mist Claim and Activation Codes

Mist Setup Guide

For capacity, coverage, and throughput Service Level Expectations (SLEs) in Mist AI, throughput is measured in Mbps. This unit measures the rate at which data is successfully delivered over the wireless network, providing a clear indication of network performance and user experience. Mist AI tracks these metrics to ensure the network meets the required performance standards.

References:

Wireless Throughput SLE

Service Level Expectations (SLE)

Mist Administrative Logins: Mist administrative logins can utilize Single Sign-On (SSO), allowing administrators to log in using their corporate credentials, enhancing security and ease of access.

Guest User Access: Guest user access cannot use SSO, as SSO is intended for internal users and administrators rather than external guest users who access the network.

References:

Mist SSO Configuration Guide

SSO Integration Overview

Real-time Assessment: Juniper Mist's Radio Resource Management (RRM) builds the channel plan based on real-time network assessments. It dynamically adjusts to changing conditions in the RF environment, ensuring optimal performance by continuously monitoring factors such as interference, client distribution, and usage patterns.

Automatic Tuning: RRM tuning happens automatically. Mist AI leverages reinforcement learning to continually optimize RF settings without manual intervention, adjusting channels, power levels, and other parameters in real-time to maintain optimal network performance.

References:

Understanding Radio Resource Management | Juniper Networks

Radio Management | Mist | Juniper Networks

Coverage Hole: Marvis Actions can identify coverage holes where the wireless signal is weak or absent, indicating potential areas that need additional access points or adjustments.

Health Check Failed: This action indicates that the health check, which monitors the performance and connectivity of an access point, has failed, suggesting issues that need to be addressed.

References:

Juniper Networks Documentation

When creating a label to be applied to a WLAN template in Mist AI, you should create the label at thesite level. This is because WLAN templates are designed to be associated with specific sites or site groups, allowing you to customize WLAN configurations per site. Creating labels at the site level ensures that these configurations are applied appropriately within the desired site context.

References:

Mist AI Documentation

Juniper Networks Site Groups

Asset Tracking: Asset tracking is a common use case in LBS deployments, enabling organizations to locate and manage assets in real-time. This is particularly useful in environments like hospitals, warehouses, and large corporate campuses where knowing the precise location of equipment can save time and improve efficiency​(CertsHero)​.

Wayfinding: Wayfinding helps users navigate through complex environments, such as large buildings, airports, and shopping malls. By providing real-time navigation assistance, LBS enhances the user experience and improves accessibility within these spaces​(CertsHero)​.

References:

Juniper Networks Documentation

Mist AI uses reinforcement learning in its Radio Resource Management (RRM) service. This approach allows the system to dynamically optimize the performance of the wireless network by adjusting various radio parameters. The RRM service continuously learns and adapts based on network conditions, user behavior, and environmental factors to ensure optimal performance and reliability.

References:

Juniper Mist AI Overview

Mist AI Technology

Location Engine: The location engine runs in the cloud and processes data from BLE tags and sensors to determine the location of devices within a network. It performs the necessary computations to provide accurate location tracking and analytics.

Location System: The location system, also cloud-based, integrates with the location engine to provide a complete solution for tracking and managing location data within Mist’s ecosystem. This system supports various applications such as asset tracking, wayfinding, and proximity-based services.

References:

Juniper Mist Location Services Documentation

Mist AI Technology

Rogue AP Detection:

Rogue AP detection is crucial for maintaining network security by identifying unauthorized access points.

Configuration Step:

Enable Rogue AP Detection:

The first and necessary step in configuring rogue AP detection is enabling the feature in the Mist system.

Other Steps:

Setting proximity zones, disabling honeypot detection, and setting the RRM interval are additional configurations but not the initial or mandatory step.

Conclusion:

The correct answer is A.

References:

Mist Documentation on Rogue AP Detection: Mist Documentation

Types of APs and Security Threats:

Understanding different types of access points and their potential security threats.

Access Point Types:

Neighbor AP: An access point that belongs to a neighboring network and is not necessarily a security threat.

Rogue AP: An unauthorized access point connected to the wired network, posing a significant security threat.

Spoofed AP: An access point that mimics a legitimate one, but typically does not involve being connected to the network.

Honeypot AP: An access point set up to lure attackers, not necessarily a threat unless used maliciously.

Identifying the Threat:

An AP connected to your wired network but not claimed to your organization is considered a rogue AP and poses a security threat.

Conclusion:

The correct answer is B.

References:

Mist Documentation on Access Point Security: Mist Documentation

In Mist's Service Level Expectations (SLE) framework, the Coverage SLE is responsible for reporting on RF interference.

The Coverage SLE monitors the strength and quality of the wireless signal, ensuring that clients are receiving adequate coverage throughout the network. It also identifies areas where RF interference might be degrading the signal quality.

By tracking RF interference, the Coverage SLE helps administrators diagnose and mitigate issues that could impact wireless performance and user experience.

Reference: Juniper Networks documentation on Mist SLEs and their specific metrics.

To deploy location-based services in Mist, the following components are used:

Location Sensors: These devices capture the location data from BLE tags and other devices.

BLE Tags: These are small devices that emit Bluetooth signals to be picked up by location sensors.

Location Engine: This software processes the data from the sensors and tags to determine precise locations and provide analytics.

References:

Mist Location Services Documentation

Juniper Location Deployment Guide

The Simple Network Management Protocol (SNMP) is used by Mist to monitor non-Juniper switches. SNMP is a widely adopted protocol for network management, enabling the collection and organization of information about managed devices on IP networks.

References:

Juniper Mist Monitoring Documentation

SNMP Configuration Guide

Wayfinding: User Engagement in Mist AI includes wayfinding services that help users navigate through complex environments such as large buildings or campuses. This feature uses real-time location data to guide users to their destinations.

Implementation: Wayfinding leverages Mist's BLE (Bluetooth Low Energy) technology and virtual beacons to provide precise indoor navigation and enhance the user experience.

References:

Juniper Networks Documentation