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| Section | Weight | Objectives |
|---|---|---|
| Location-Based Services | 5% | - Location analytics and engagement - Asset tracking |
| Network Operations and Management | 20% | - WLAN and wired network configuration - Authentication and security policies - Webhooks and automation - API usage and integration |
| Juniper Mist Configuration Basics | 25% | - Template and policy configuration - Licensing and subscriptions - Account and organization management - Device onboarding and claiming |
| Juniper Mist Cloud Fundamentals | 20% | - Cloud architecture and principles - Multi-tenancy and service availability - Cloud vs on-premises management |
| Monitoring, Analytics and Troubleshooting | 20% | - Anomaly detection and reporting - Troubleshooting methodologies - Performance monitoring - Service Level Expectations (SLEs) |
| Marvis Virtual Network Assistant | 10% | - Natural language queries - Automated remediation - AI-driven insights and recommendations |
If you are one of such frustrated candidates, don't get panic. ValidTorrent declares its services in providing the real JN0-253 PDF Questions. It ensures that you would qualify for the Mist AI, Associate (JNCIA-MistAI) (JN0-253) certification exam on the maiden strive with brilliant grades. ValidTorrent has formulated the Mist AI, Associate (JNCIA-MistAI) (JN0-253) product in three versions. You will find their specifications below to understand them better.
NEW QUESTION # 150
Which two statements are correct about the Juniper Mist vBLE Asset Visibility mode? (Choose two.)
Answer: C,D
Explanation:
Juniper Mist'svirtual Bluetooth Low Energy (vBLE)technology is designed to deliverprecise indoor location servicesusing cloud-managed access points equipped with integrated BLE antenna arrays. The system supports multiple operational modes, includingEngagement Mode(for mobile app interactions) and Asset Visibility Mode(for BLE tag tracking).
According to theJuniper Mist Location Services Documentation, inAsset Visibility Mode, the vBLE antenna functions primarily inreceive modeto detect and process signals emitted fromBLE asset tags. These tags periodically transmit Bluetooth "chirps" that are received by multiple APs. Mist Cloud then usesangle-of- arrival (AoA)andRSSI triangulation algorithmsto determine the exact location of the asset within the facility.
The documentation specifies:
"In Asset Visibility Mode, the vBLE antenna operates in receive mode and listens for BLE tag beacons (chirps). The system triangulates these signals to calculate the real-time location of tracked assets." Conversely,Engagement Modeis the configuration in which vBLE operates intransmit modeto interact with mobile devices running the Mist SDK - which corresponds to location-based engagement or proximity notifications.
Thus, the correct answers are:
* A. The vBLE antenna is in the receive mode
* B. The vBLE antenna tracks chirps from BLE tags
References:- Juniper Mist Location-Based Services Configuration Guide- Juniper Mist vBLE Architecture and Operation Modes Documentation- Juniper Mist Cloud Location Services Technical Overview
NEW QUESTION # 151
Which two functions are provided by the Juniper Mist REST API? (Choose two.)
Answer: A,B
Explanation:
The Juniper Mist REST API primarily provides functions for Juniper Mist configuration and historic statistics monitoring. According to the Juniper Mist documentation and API reference, the REST API allows users to automate configuration changes and retrieve historical data for analysis and reporting. Specifically,
"configuration" functions include creating, updating, and deleting sites, devices, SSIDs, VLANs, templates, and user roles through API calls. "Historic statistics monitoring" refers to the API's capability to pull time- series analytics on network and device performance, enabling users to query device usage, client events, SLE metrics, and application data over customizable timeframes.
Real-time statistics and event-driven monitoring are typically accessed via Mist's WebSocket API, not the REST API. The REST API focuses on configuration management and historical data extraction for audit and trend analysis, supporting full automation and integration with third-party tools.
Verification:
These answers match the selections marked in your image ("Juniper Mist configuration" and "historic statistics monitoring") and are verified per Juniper's API documentation and feature matrix.
References:
Juniper Mist API Introduction
Mist API Sample Class
Juniper Mist Automation Guide
RESTful API Overview | Mist
NEW QUESTION # 152
You are troubleshooting a wireless client's issue and you suspect it is related to DHCP latency.
In this scenario, which SLE should you review in the Mist UI?
Answer: C
Explanation:
Identify the Problem: Suspected issue related to DHCP latency while troubleshooting a wireless client.
Understanding SLEs:
Capacity: Related to the number of clients and bandwidth. Time to Connect: Measures the time taken for clients to connect, including DHCP latency.
Throughput: Measures the data transfer rate.
Coverage: Measures the signal strength and coverage area.
Selecting the Appropriate SLE:
Time to Connect is the relevant SLE as it includes metrics on DHCP latency, which affects the connection time.
Review the SLE:
Analyze the Time to Connect SLE to identify any latency issues with DHCP.
NEW QUESTION # 153
Which two statements are correct about the Juniper Mist "Throughput" SLE? (Choose two.)
Answer: C,D
Explanation:
The Throughput SLE evaluates whether wireless clients are achieving throughput levels consistent with their negotiated PHY rate and capabilities. When throughput is classified as poor, Mist provides further classifiers, such as high channel utilization or low SNR, to help pinpoint the underlying cause.
NEW QUESTION # 154
What is the sampling method used in supervised learning?
Answer: D
Explanation:
The fundamental sampling method used in supervised learning is a labeled dataset. As described in Juniper Mist AI and machine learning application guides, supervised learning algorithms are trained using datasets in which each sample is paired with a known output (label). The model is fed examples comprising input data and the correct answer, learning patterns to map new inputs to their target outputs. While regression, decision tree, and random forest are techniques within supervised learning, the process fundamentally relies on having a labeled dataset for both training and validation phases. "Supervised machine learning models are built on labeled data, with each input paired to a target value or classification." This allows for accurate model training and evaluation.
Reference:Juniper Mist AI Explainable AI Reference , Machine Learning in Juniper Mist
NEW QUESTION # 155
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