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NEW QUESTION # 109
Click the Exhibit button.
Referring to the exhibit, how many sites have unused Marvis for Wireless subscriptions?
Answer: B
Explanation:
In the exhibit, the Marvis for Wireless subscription shows "21 of 82" in use and "3 of 18" sites with usage. That means 3 sites are actively using the subscription, leaving 15 sites (18 total - 3 in use
= 15 unused) with unused Marvis for Wireless subscriptions.
NEW QUESTION # 110
Which statement is true about Radio Resource Management (RRM)?
Answer: B
Explanation:
Radio Resource Management (RRM)is a key feature ofJuniper Mist Wireless Assurancethat uses AI- driven automation to dynamically adjust radio settings across access points (APs) for optimal wireless performance. The RRM engine ensures proper channel assignment, transmit power control, and interference management across the network.
According to theJuniper Mist Wireless Assurance and AI-Driven RRM Guide, RRM operates intwo modes:
* Event-Driven RRM:This mode reacts immediately to real-time changes in the RF environment, such as new access points, interference spikes, or client density changes.
* Global Optimization RRM:This process runs as ascheduled, system-wide optimization once per day to evaluate the overall RF environment and redistribute channels and power settings network-wide for the best balance of coverage and capacity.
The documentation states:
"The RRM global optimization algorithm automatically executes once daily to ensure optimal channel and power planning across all APs." Thus, the correct answer isD - The RRM global optimization system automatically runs once a day.
References:- Juniper Mist Wireless Assurance and RRM Configuration Guide- Juniper Mist AI-Driven Radio Resource Optimization Documentation- Juniper Mist Cloud Operations and RF Management Overview
NEW QUESTION # 111
What does the Predictive Analytics and Correlation Engine (PACE) of Mist AI use to understand the end-user experience?
Answer: C
Explanation:
ThePredictive Analytics and Correlation Engine (PACE)is the core AI engine that powers theJuniper Mist Cloud. It is designed to continuously learn from real-time telemetry and user interactions across wireless, wired, and WAN networks to proactively identify anomalies and predict performance issues.
According to theJuniper Mist AI Cloud and PACE Architecture Documentation, PACE:
"Leverages machine learning and advanced analytics to correlate data across millions of network sessions, automatically identifying patterns that affect user experience." The engine continuously evaluates key Service Level Expectations (SLEs), such asTime to Connect, Throughput, andRoaming, to establish performance baselines and detect deviations before users notice them.
PACE doesnot rely on manual analysisoruser feedback, and it integrates telemetry rather than external monitoring tools to maintain a closed-loop feedback system for self-correction and optimization.
Therefore, PACE usesmachine learning (A)to understand, predict, and improve end-user experience across Juniper Mist-managed networks.
References:- Juniper Mist AI Cloud Architecture and PACE Overview- Juniper Mist AI Operations and Analytics Guide- Juniper Mist Assurance and Machine Learning Documentation
NEW QUESTION # 112
What are two ways that Marvis Minis validates network configurations? (Choose two.)
Answer: C,D
Explanation:
Marvis Minis validates network configurations automatically and uses supervised machine learning. As stated in the Juniper Mist AI documentation, "Marvis Minis runs validations automatically at regular intervals and can be triggered manually by administrators. Minis use network digital twin technology and supervised machine learning to simulate and validate real-world user connectivity events." The system automatically creates patterns, triggers tests, and correlates real user and simulated network behaviors with the learned models. The validation covers critical network services-such as DHCP, DNS, ARP, and application reachability-and does so across various scopes (site, AP, VLAN, and switch). There is no requirement for additional hardware, as the digital twin reuses existing network infrastructure and existing APs.
Reference:Marvis Minis Documentation - Marvis Minis Overview; Marvis Minis Configuration and Operation Manual
NEW QUESTION # 113
Which three components are used to deploy location-based services? (Choose three.)
Answer: A,B,D
Explanation:
To deploy location-based services in Mist, the following components are used:
Location Sensors: These devices capture the location data from BLE tags and other devices.
BLE Tags: These are small devices that emit Bluetooth signals to be picked up by location sensors.
Location Engine: This software processes the data from the sensors and tags to determine precise locations and provide analytics.
NEW QUESTION # 114
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