JNCIS-MistAI-Wireless study plan

Explain how 802.11 frame types (management, control, data) and the three MAC address roles in a frame interact during association and roaming

Compare 2.4 GHz, 5 GHz, and 6 GHz band behavior in terms of channel width, available channels, propagation, and co-channel interference

Derive the effective data rate and airtime cost for a given MCS index, channel width, and spatial stream count

Describe how OFDM, OFDMA, and MU-MIMO differ and what each changes about channel access efficiency

Trace the full client onboarding sequence from probe request through 4-way handshake and DHCP

Distinguish WPA2-PSK, WPA2-Enterprise, WPA3-SAE, and WPA3-Enterprise 192-bit in terms of handshake and key hierarchy

Diagnose common association failures (sticky client, band steering refusal, RADIUS timeout, DHCP exhaustion) by symptom

Explain how roaming decisions are made by the client and what 802.11k, 802.11v, and 802.11r each contribute

Map the Juniper Mist cloud architecture: cloud services, on-premise or edge components, access points, and the management and data plane split

Describe how an AP connects to Mist, including onboarding methods, adoption, and firmware upgrade flow

Define the roles of a site, a WLAN template, and a site-level WLAN in configuration inheritance

Configure a basic WLAN policy with authentication, VLAN assignment, and RF template assignment

Configure and compare WLAN authentication types including PSK, enterprise with RADIUS, captive portal, and MAC-based registration

Explain how VLAN tagging, dynamic VLAN assignment via RADIUS attributes, and tunneled or bridged traffic forwarding differ

Set up an RF template with channel and power planning, band steering, and minimum basic rate

Describe how Mist applies WLAN templates across multiple sites and how to override at the site level

Navigate the Mist dashboard to locate SLE metrics, AP health, client health, and site-level insights

Interpret Service Level Expectation classifications and identify which classifiers drive a failing SLE

Analyze an alarm, an event log entry, and a packet capture to isolate a wireless fault

Explain how Mist uses cloud-based telemetry and machine learning for anomaly detection and baselining

Use Marvis queries to retrieve client, AP, and site status and interpret the natural-language responses

Distinguish what Marvis can diagnose autonomously from what still requires manual investigation

Configure and validate wireless SLE thresholds and alerting for a production-like site

Explain how Marvis Actions surface recommended remediations and how to verify a fix after applying one

Explain how Mist derives location from AP placement, RSSI, and virtual Bluetooth LE beacons

Configure a location-based service such as asset visibility or proximity notifications and describe the required components

Describe how Mist engagement analytics and occupancy metrics are collected and where they appear in the dashboard

Review AP placement and site survey considerations that affect location accuracy

Re-take a full-length timed practice exam and score at least 85 percent overall and 80 percent in every domain

Re-review every missed question and write a corrected explanation for each

Recite from memory the key configuration objects, SLE classifiers, and Marvis capabilities for each domain

Confirm weak domains are remediated by re-testing only those domains under time pressure