JN0-252 Exam Dumps : Mist AI- Associate (JNCIA-MistAI)

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

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

Packet Capture: This feature allows for detailed inspection of traffic at the packet level. Capturing packets can help identify issues with authentication protocols, such as misconfigured settings or failures in the authentication exchange process.

Client Events: Monitoring client events provides insights into the client's authentication attempts, including successes and failures. This data helps in pinpointing where in the process the failure occurs, whether at the client, access point, or authentication server.

References:

Juniper Networks Documentation