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Juniper JN0-253 Exam Syllabus Topics:

Section	Objectives
Wired Assurance	- Switch monitoring and management 1. Port and client visibility 2. Switch onboarding
Wireless Assurance	- Wi-Fi management and optimization 1. AP provisioning and configuration 2. RF optimization and analytics
Troubleshooting and Analytics	- Network performance analysis 1. Client experience monitoring 2. Event and log analysis
Mist AI Fundamentals	- AI-driven networking concepts 1. Intent-based networking overview 2. AI/ML in network operations
Marvis AI Assistant	- AI-powered troubleshooting 1. Network insights and recommendations 2. Natural language queries
Mist Cloud Architecture	- Cloud services and platform components 1. Mist cloud architecture components 2. Device onboarding and management

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Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q90-Q95):

NEW QUESTION # 90
Which two statements are correct when considering Juniper Mist clouds? (Choose two.)

A. Users created in a specific regional cloud can manage organizations in other clouds.
B. Users created in a specific regional cloud can only manage organizations in that cloud.
C. Creating a new user enables the user across all clouds.
D. Creating a new user enables the user only for the cloud in which it was created.

Answer: B,D

Explanation:
When you create a new user, they are enabled only for the specific Mist cloud where the account was created.
Users created in a regional cloud can manage organizations only within that same cloud and not across different regional clouds.

NEW QUESTION # 91
In the Mist UI, what should you do to support mobile device engagement?

A. Enable Local Status Page.
B. Use ESL.
C. Enable vBLE.
D. Use Wi-Fi 6.

Answer: C

Explanation:
To support mobile device engagement in the Mist UI, you enable virtual Bluetooth Low Energy (vBLE). vBLE provides precise location services and engagement capabilities, allowing interaction with mobile devices for use cases such as wayfinding, notifications, and proximity- based engagement.

NEW QUESTION # 92
Which two components make up a self-driving AI network? (Choose two.)

A. actions
B. support tickets
C. human interface
D. telemetry

Answer: A,D

Explanation:
A self-driving AI network is comprised of two foundational components: actions and telemetry. According to Juniper's own communications, "Marvis AI analyzes telemetry across the wired, wireless, WAN and data center domains, and creates automated workflows to simplify operations and lower costs. Agentic AI:
Accelerating self-driving operations." Telemetry provides real-time continuous data and metrics from the network, including client, device, and application health, enabling the AI engine to build a current, actionable state model. Actions refer to proactive, automated tasks performed by the AI, such as remediating misconfigured ports, resolving anomalies, optimizing performance, and self-healing operations-"Expanded Self-Driving Actions... the Marvis Actions dashboard now supports the autonomous remediation of more network issues." Human interface and support tickets are beneficial for management and support, but the core capabilities of a self-driving AI network are telemetry (data/observability) and actions (automation
/remediation).
Reference:HPE Juniper Networking Self-Driving Network Overview

NEW QUESTION # 93
Which two statements describe port profiles? (Choose two.)

A. They include a set of interface configurations.
B. They must be assigned to only one port.
C. They can be assigned to multiple ports.
D. They include a set of routing configurations.

Answer: A,C

Explanation:
Port profiles define a set of interface configurations that can be reused.
They can be applied to multiple ports, ensuring consistent configuration across the network.

NEW QUESTION # 94
In the context of Juniper Mist, which two statements describe a bad user minute? (Choose two.)

A. The number of affected users multiplied by the number of minutes they are affected.
B. A metric that tracks how many minutes a user is connected to a network.
C. A way to normalize a user's negative network experience.
D. The number of minutes a device is down multiplied by the number of users affected.

Answer: A,C

Explanation:
InJuniper Mist AI, the concept of aBad User Minute (BUM)is a core metric used withinService Level Expectations (SLEs)and theAI-driven analytics engineto quantify negative user experience.
According to theJuniper Mist AI Operations and SLE Analytics Guide, a "bad user minute" is defined as:
"A normalized measure that represents one minute of degraded user experience for one user." Mist AI calculates this by multiplying the number of affected users by the number of minutes they experience poor performance. This allows administrators to understand the impact of network issues not just in duration, but in terms of total user experience degradation.
For example, if ten users experience poor connectivity for one minute, the system records10 bad user minutes
. This normalization helps Juniper Mistprioritize incidents based on impact, rather than duration alone, allowing administrators to focus on issues that affect the greatest number of users.
Therefore:
* Bis correct - it's a way to normalize a user's negative experience.
* Dis correct - it's calculated asnumber of affected users × number of minutes affected.
References:- Juniper Mist AI Operations and Analytics Guide- Juniper Mist Wireless Assurance and SLE Overview- Juniper Mist AI Insight Metrics and KPI Definitions

NEW QUESTION # 95
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