JN0-252 Mist AI- Associate (JNCIA-MistAI) Questions and Answers

Mist Cloud Communication Protocol: The Mist cloud platform uses HTTPS (Hypertext Transfer Protocol Secure) to communicate with connected access points. This ensures that the data sent and received is encrypted and secure, adhering to modern security standards​(Juniper Networks)​​(CertEnsure)​.

Security and Reliability: Using HTTPS provides a secure channel over which configuration changes, updates, and monitoring data can be safely transmitted between the Mist cloud and the access points. This protocol is widely accepted and trusted for secure communications over the internet.

Incorrect Options:

MQTT: While MQTT is a lightweight messaging protocol often used in IoT, it is not the protocol used by Mist cloud for AP communication.

SSH: Secure Shell (SSH) is primarily used for secure remote command-line access and not for the primary communication between Mist cloud and APs.

PPTP: Point-to-Point Tunneling Protocol (PPTP) is used for implementing VPNs and is not relevant to the communication between Mist cloud and access points.

References:

Juniper Networks Documentation: Mist Cloud Communication

Time Zone Importance: Setting the correct time zone for a Mist site ensures that all events and logs are timestamped accurately according to the local time of the site. This is crucial for effective monitoring and troubleshooting.

Facilitation of Troubleshooting: By aligning event timestamps with the local time, network administrators can correlate events more easily with specific incidents reported by users, thereby simplifying the troubleshooting process.

References:

Juniper Networks 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

Wi-Fi Related SLEs in Mist UI:

SLEs (Service Level Expectations) help monitor and ensure Wi-Fi network performance.

Visible SLEs:

Capacity:

B: Capacity SLE monitors the network's ability to handle the number of connected clients and their bandwidth requirements.

Throughput:

D: Throughput SLE measures the data transfer rates, ensuring that the network meets the expected performance levels.

Other Options:

Switch Health: Relates to wired network performance, not Wi-Fi.

Application Health: Generally focuses on application performance, not specifically Wi-Fi.

Conclusion:

The correct answers are B and D.

References:

Mist Documentation on Wi-Fi SLEs: Mist 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

Mist APs have the capability to capture both wireless and wired packets. This feature allows for comprehensive network troubleshooting by providing visibility into both types of traffic.

When performing packet captures on Mist APs, the APs remain in service. This means they continue to operate and serve clients while the capture is ongoing, ensuring minimal disruption to network operations.

This functionality is critical for maintaining network availability and performance while conducting detailed packet analysis.

Reference: Juniper Networks documentation on Mist AI AP packet capture features.

Service Level Expectations (SLEs): In Mist's SLE dashboard, SLEs are shown as a percentage of success. This indicates how well the network is meeting the predefined performance metrics, such as throughput, capacity, and coverage​(CertsHero)​.

Classifiers: Classifiers, which help in diagnosing issues by breaking down SLEs into specific causes, are also displayed as a percentage of success. This unified view aids in quickly identifying areas that need improvement and ensures consistent monitoring​(CertsHero)​.

References:

Juniper Networks Documentation

Agile Feature Updates and Bug Fixes: Juniper Mist's microservices architecture allows for rapid development and deployment of new features and bug fixes. This agility ensures that improvements and fixes can be rolled out continuously without impacting the entire system​(CertsHero)​.

Increased Scalability: The microservices approach enables horizontal scaling, where individual services can be scaled independently based on demand. This allows the system to handle increased load efficiently​(CertsHero)​.

Implementation of Machine Learning: Juniper Mist's architecture leverages machine learning within its microservices to provide intelligent network management and predictive analytics. This enhances the capability of the system to optimize performance and troubleshoot issues proactively​(Juniper Networks)​​(CertsHero)​.

References:

Juniper Networks Documentation

The exhibit displays an interaction sequence typical of RESTful APIs, which use HTTP methods such as GET, POST, PUT, and DELETE to perform operations on resources. RESTful APIs are characterized by their statelessness and reliance on standard HTTP methods, making them a popular choice for web services and applications.

References:

Juniper Mist API Documentation

RESTful Web Services Overview

System Platform Components in Mist UI:

Different components provide various insights and information about the network.

Component Descriptions:

Switch Insights: Provides detailed information about switch performance and status.

Events: Logs and displays events occurring in the network but does not specifically highlight missing VLANs.

Marvis Actions: AI-driven insights and recommendations that include identifying and suggesting actions for missing VLANs.

Service-Level Exceptions (SLEs): Monitor and report on performance metrics, not specifically focused on VLAN issues.

Conclusion:

The correct answer is C (Marvis Actions).

References:

Mist Documentation on System Platform Components: Mist Documentation

Machine Learning in Wireless Assurance: Mist's Wireless Assurance uses machine learning to analyze telemetry data and identify potential network issues. This approach allows for proactive identification and resolution of faults, improving overall network reliability and performance.

References:

Juniper Networks Documentation

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

The maximum number of Mist Edge devices supported for high availability is two. This ensures that there is a backup device in place to take over in case the primary device fails, providing redundancy and maintaining network stability.

References:

Mist Edge Configuration Guide

Juniper Networks Mist Edge FAQs

In the context of Mist management, "brownfield" switches refer to those that are already configured and deployed in a network, while "greenfield" switches are new and have no pre-existing configuration.

Mist supports the integration and management of both brownfield and greenfield switches within the same site. The crucial requirement is that all switches, regardless of their initial state, must be running a version of Junos that is supported by Mist.

This compatibility ensures that Mist can apply policies, configurations, and monitoring uniformly across all devices, facilitating a seamless management experience.

Reference: Juniper Networks documentation on Mist AI and Junos compatibility requirements.

Event-Driven API: Webhooks are used as an event-driven API in Mist. They allow the system to send real-time notifications to external systems when specific events occur, enabling immediate actions or alerts.

References:

Juniper Networks Documention.

Identify the Changes: Radio Resource Management (RRM) changes and their timings.

RRM Changes:

Channel and power settings based on long-term statistics.

RF template changes to channel width.

Changes triggered by SSID scheduling.

Changes triggered by DFS events.

Timing of Changes:

Long-term RRM changes to channel and power settings are typically scheduled once a day to avoid disrupting network performance.

Conclusion:

Channel and power settings across a site based on long-term statistics and baselines are made once a day between 2:00 AM and 3:00 AM local time.

References:

Mist Documentation on RRM: Mist Documentation