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| Section | Objectives |
|---|---|
| Topic 1: Marvis AI Assistant | - AI-powered troubleshooting
|
| Topic 2: Mist Cloud Architecture | - Cloud services and platform components
|
| Topic 3: Troubleshooting and Analytics | - Network performance analysis
|
| Topic 4: Wired Assurance | - Switch monitoring and management
|
| Topic 5: Wireless Assurance | - Wi-Fi management and optimization
|
| Topic 6: Mist AI Fundamentals | - AI-driven networking concepts
|
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NEW QUESTION # 32
What is the purpose of assigning roles to switches?
Answer: C
Explanation:
In Juniper Mist, roles are assigned to switches so that configuration templates and policies can be applied consistently across multiple devices, enabling scalable and efficient management.
NEW QUESTION # 33
A user has reported a network outage. After locating the user, you find that the switch interface facing the user is down but there is no alert in the Mist UI. You want to ensure that in the future, you receive an alert when a switch interface is down. You have already verified that the Critical Switch Port Down alarm is configured and enabled on the Alerts Configuration page.
In this scenario, which action in the Mist UI will satisfy the requirement?
Answer: A
Explanation:
To ensure that you receive alerts when a switch interface goes down, you need to enable the Up/Down Port Alerts setting for the specific interface. This setting can be configured by navigating to the switch within the Mist UI and modifying the port configuration. Enabling this setting ensures that any changes in the port status, such as going down, will trigger an alert.
This is critical for proactive network monitoring and to promptly address any connectivity issues.
NEW QUESTION # 34
How does Marvis detect a bad cable problem?
Answer: D
Explanation:
Marvis, the AI-driven Virtual Network Assistant inJuniper Mist, uses continuous telemetry analysis and AI correlation to identifybad cable conditions. It does this by examining interface-level statistics gathered from switches and access points throughWired Assurance.
According to theJuniper Mist Marvis Operations and Troubleshooting Guide:
"Marvis detects bad cable issues by analyzing telemetry patterns such as CRC errors, FCS errors, packet drops, and link flaps that collectively match a known cable fault signature." When such patterns are detected, Marvis automatically generates anAI Actionindicating aBad Cableissue and identifies whether the problem is with theportor thecable. This proactive detection allows administrators to replace faulty hardware before it impacts network users.
Options A, B, and C are incorrect because Marvis does not perform active pinging, random packet captures, or random cable testing. Its detection is entirelyAI and telemetry-based.
Therefore, the correct answer isD. Marvis analyzes metrics, such as interface errors, that match a bad cable pattern.
References:- Juniper Mist Marvis AI Operations Guide- Juniper Mist Wired Assurance and Telemetry Analytics Documentation- Juniper Mist AI Troubleshooting and Automation Overview
NEW QUESTION # 35
Which users have rights to invite new administrators to a Mist organization?
Answer: D
NEW QUESTION # 36
Exhibit:
Referring to the exhibit, which SLE would an administrator investigate to troubleshoot weak signal issues?
Answer: D
Explanation:
InJuniper Mist Wireless Assurance,Service Level Expectations (SLEs)are key metrics that measure different aspects of the end-user experience. Each SLE focuses on a distinct area of network performance such asConnection,Roaming,Throughput, andCoverage.
TheCoverage SLEspecifically measures whether wireless clients are receiving adequate signal strength (RSSI) and signal quality (SNR) from access points. According to theJuniper Mist AI Operations and SLE Analytics Guide, this metric is defined as:
"The Coverage SLE quantifies the percentage of client sessions that meet the required signal strength and quality thresholds. Low coverage indicates areas with weak or inconsistent RF signal levels." When users experienceweak signal or dead zones, theCoverage SLEprovides insight into where and why these issues occur. Mist AI identifies sub-classifiers such asSignal Quality,Wi-Fi Interference, orAirtime Utilization, allowing administrators to isolate the cause of poor signal conditions.
Therefore, in the exhibit shown, an administrator would investigate theCoverage SLE (79%), as it directly relates to signal weakness or RF coverage problems.
References:- Juniper Mist Wireless Assurance and SLE Documentation- Juniper Mist AI Operations and Analytics Guide- Juniper Mist Cloud Dashboard and RF Monitoring Overview
NEW QUESTION # 37
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