JN0-253 Exam Dumps - Mist AI - Associate (JNCIA-MistAI)

TheJuniper Mist Cloudarchitecture is built on amicroservices-based design, which enhances reliability, scalability, and operational efficiency. Each microservice performs a specific function—such as authentication, telemetry ingestion, analytics, or AI inference—independently of other components.

According to theJuniper Mist Cloud Architecture and Operations Guide:

“Mist Cloud leverages a microservices architecture where each service operates independently. This design ensures that a failure in one service does not impact the functionality or availability of others.”

This modular approach provides several key advantages:

Fault isolation:One component can fail or restart without affecting the rest of the system.

Independent scaling:Services can scale dynamically based on demand.

Continuous updates:New features and patches can be deployed without downtime.

Options B, C, and D are incorrect because Mist microservices do not rely onNETCONFfor internal communication, arenot monolithic, and donot share a single common database—each maintains its own data model as required.

Therefore, the correct answer isA. Microservices are designed to be independent to ensure that if one process fails, the remaining processes will continue to operate.

InJuniper Mist’s Location-Based Services, theAsset Visibilityservice utilizes the built-inBluetooth Low Energy (BLE)antenna array within Mist Access Points to track BLE tags and devices inlisten-only mode. This allows the APs to receive BLE signals emitted by assets and compute their real-time location usingangle-of-arrival (AoA)andRSSI-based triangulation.

According to theJuniper Mist Asset Visibility and Location Services Guide:

“When operating in Asset Visibility mode, the vBLE antenna array in Mist Access Points functions in listen-only mode, collecting BLE chirps from asset tags and relaying this data to the Mist Cloud for location determination.”

This configuration differs fromvBLE Engagement, where APs transmit BLE beacons to interact with mobile apps. InAsset Visibility, the BLE array passively listens to track tagged assets (e.g., equipment, IoT devices) across a defined floor map.

Therefore, the correct answer isD. Asset Visibility.

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.

In theJuniper Mist Wireless Assurance dashboard, eachService Level Expectation (SLE)is broken down intosub-classifiersto identify the specific causes of degraded user experience. For theCapacity SLE, Mist AI analyzes performance indicators related to access point utilization, airtime availability, client density, and radio congestion.

According to theJuniper Mist Wireless Assurance Analytics Guide, sub-classifiers within the Capacity SLE may include:

WiFi Interference– measures co-channel and adjacent-channel interference.

Capacity– monitors total bandwidth and airtime utilization.

Network Issues– highlights backend transport or switching congestion.

Excessive Client Load– indicates when too many clients are associated with a single access point or radio, leading to reduced throughput and contention.

In the exhibit, theExcessive Client Loadbar clearly shows the highest contribution to the Capacity SLE degradation. This means that the majority of capacity issues were caused byan overloaded access point or radio channelhandling more clients than optimal.

Therefore, the correct answer isD. Excessive Client Load.

To use Marvis Minis, both theWiFi Management and AssuranceandMarvis for Wirelesssubscriptions are required. According to the official Juniper documentation, Marvis Minis "does not require a separate subscription. Any organization with an active Marvis for Wireless subscription is automatically entitled for Marvis Minis support." However, the Marvis for Wireless subscription operates on top of the foundational WiFi Management and Assurance subscription, which is necessary to operate APs and the wireless network within the Mist Cloud. As stated: "In addition to your base Assurance subscriptions (Wireless Assurance, WAN Assurance, or Wired Assurance), you also need Marvis subscriptions for each device..." Therefore, both are prerequisites for using Marvis Minis, ensuring full wireless management with AI-powered digital twin validation.

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.