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| Section | Objectives |
|---|---|
| Topic 1: Juniper Mist Network Operations and Management | - Wireless network management and operations features - Wired network management and operations features |
| Topic 2: Juniper Mist Cloud Fundamentals | - Benefits of using cloud-based management - Machine learning - AI concepts - Juniper Mist cloud capabilities and use cases |
| Topic 3: Juniper Mist Configuration Basics | - Advanced configurations - Cloud accounts concepts and functionality - Initial configurations |
| Topic 4: Juniper Mist Monitoring and Analytics | - User experience metrics - Performance dashboards - Data-driven insights |
| Topic 5: Marvis Virtual Network Assistant AI | - Troubleshooting capabilities - AI-driven insights |
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NEW QUESTION # 146
Under Marvis Actions, what is required for Marvis to provide a visualization of low coverage and low-capacity issues within the network?
Answer: C
Explanation:
For Marvis, Mist AI's virtual network assistant, to provide a visualization of low coverage and low- capacity issues within the network, a floor plan is required. This enables Marvis to map the coverage and capacity data to specific locations within the physical space, allowing for precise identification and troubleshooting of network issues.
NEW QUESTION # 147
Where does Mist use AI reinforcement learning?
Answer: A
Explanation:
Mist AI uses reinforcement learning in its Radio Resource Management (RRM) service. This approach allows the system to dynamically optimize the performance of the wireless network by adjusting various radio parameters. The RRM service continuously learns and adapts based on network conditions, user behavior, and environmental factors to ensure optimal performance and reliability.
NEW QUESTION # 148
How are Mist Alerts sent?
Answer: D
NEW QUESTION # 149
As an organization administrator, what are two ways to configure additional layers of security for administrator logins? (Choose two.)
Answer: B,D
Explanation:
Enable Two-Factor Authentication (2FA): Adding 2FA to administrator logins significantly enhances security by requiring a second form of verification in addition to the password, making unauthorized access more difficult.
Enable a Password Policy: Implementing a strong password policy ensures that passwords meet certain complexity and length requirements, reducing the risk of brute force attacks.
NEW QUESTION # 150
What is responsible for Mist AI data collection and analysis across the wireless, wired, and WAN domains?
Answer: D
Explanation:
ThePredictive Analytics and Correlation Engine (PACE)is thecore AI and data analytics componentof the Juniper Mist Cloud architecture. It collects, processes, and correlates telemetry data across all managed domains -Wireless, Wired, and WAN Assurance- to deliver proactive insights and predictive network intelligence.
According to theJuniper Mist AI Operations and Architecture Guide:
"The Predictive Analytics and Correlation Engine (PACE) serves as the foundation of Mist AI, using continuous telemetry ingestion and machine learning algorithms to understand, correlate, and predict network behaviors across the wireless, wired, and WAN environments." PACE enables Mist AI to:
* Detect anomalies in user experience and device performance.
* Predict failures before they affect users.
* Correlate events across network domains for root-cause analysis.
Therefore, the correct answer isA. Predictive Analytics and Correlation Engine (PACE).
References:- Juniper Mist AI Cloud Architecture and Operations Guide- Juniper Mist AI Fundamentals Study Guide- Juniper Mist Predictive Analytics and Correlation Engine Overview
NEW QUESTION # 151
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