JNCIA-MistAI JN0-252 Release Date

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

To set up a new WLAN that is Open Access and prevents connected clients from communicating with each other, you should use theConfigure Isolationfeature. This feature, often referred to as client isolation, ensures that each client can only communicate with the access point and not with other clients on the same WLAN.

References:

Juniper Mist WLAN Configuration Guide

Best Practices for WLAN Security

Identify the Scenario: Five clients on the network and 20 minutes of statistics for each client.

Calculation:

User Minutes = Number of Clients × Duration of Statistics.

User Minutes = 5 clients × 20 minutes per client.

User Minutes = 100.

Conclusion:

The total user minutes in this scenario is 100.

References:

Mist Documentation on User Minutes: Mist Documentation

Understanding Marvis Queries:

Marvis is the AI-driven virtual network assistant in Mist that helps with queries and troubleshooting.

Language Used for Queries:

Natural Language: Marvis is designed to understand and respond to natural language queries, making it user-friendly.

Python, C++, SQL: These are programming and query languages not used directly for Marvis queries.

Conclusion:

The correct answer is A (Natural Language).

References:

Mist Documentation on Marvis: Mist Documentation