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JNCIA-MistAI study materials
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JNCIA-MistAI practice questions

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Question 1Mist Cloud and Architecture Fundamentals

In the Mist cloud architecture, which component is responsible for managing configuration, device onboarding, and the web UI, while running in the cloud rather than on-premises?

  1. The Mist cloud (management plane) Correct answer.
  2. The Junos CLI running on each switch
  3. The on-premises Mist Edge appliance
  4. The access point's local forwarding engine

Explanation

Mist is a cloud-managed architecture in which configuration, inventory, and the user interface live in the Mist cloud management plane. Access points and switches connect outbound to this cloud, so no on-premises controller is required for basic management. Mist Edge is an optional data-plane component, not the management plane.

Question 2Mist Cloud and Architecture Fundamentals

A network engineer wants to confirm that a Mist access point has established its management connection to the cloud. Which outbound connectivity does the AP require to reach the Mist cloud?

  1. An outbound Telnet session to the cloud
  2. Outbound HTTPS (TCP 443) to Mist cloud endpoints Correct answer.
  3. Inbound SNMP polling from the cloud
  4. An inbound SSH session initiated by the cloud

Explanation

Mist APs and switches are cloud-managed and initiate outbound connections over HTTPS (TCP 443) to Mist cloud endpoints, which avoids the need for inbound firewall holes. Because the device dials out, NAT and typical corporate egress policies work without special inbound rules. Inbound SSH, SNMP, or Telnet from the cloud are not how the management channel is established.

Question 3Mist Cloud and Architecture Fundamentals

Which statement accurately describes the role of Mist Edge in a Mist deployment?

  1. It provides an on-premises data-plane anchor for tunneling and local breakout. Correct answer.
  2. It is required for every Mist access point to boot.
  3. It replaces the Mist cloud for configuration management.
  4. It acts as a DHCP server that all Mist APs must use.

Explanation

Mist Edge is an optional on-premises appliance that anchors the data plane, enabling traffic tunneling from APs and local breakout to the local network while management remains in the Mist cloud. It does not replace cloud management, and APs can operate without it. It is not a mandatory DHCP server for AP operation.

Question 4Mist Cloud and Architecture Fundamentals

An administrator needs to onboard a new Mist access point at a branch site. Which approach reflects the standard cloud adoption model for getting the AP claimed and managed?

  1. Pre-staging the AP in the Mist inventory using its claim code, then powering it on so it connects to the cloud Correct answer.
  2. Loading a full controller image on the AP before shipping it to the site
  3. Manually copying a site configuration file onto the AP's USB drive
  4. Configuring a static route to an on-premises controller before the AP will boot

Explanation

Mist onboarding uses a claim code (such as a QR or serial-based code) to associate the device with the organization's Mist account before deployment. Once claimed and powered on with internet access, the AP connects to the cloud and inherits its site configuration. Controller images, on-premises controller routing, and USB configuration files are not part of the Mist onboarding model.

Question 5Mist Cloud and Architecture Fundamentals

Which Mist construct is used to logically group devices and settings so that a set of sites shares common configuration such as WLANs and templates?

  1. A Mist Edge cluster
  2. A device profile
  3. An organization Correct answer.
  4. A site

Explanation

In Mist, the organization is the top-level container that holds sites, devices, and shared configuration objects such as WLAN templates and device profiles. Sites sit within the organization and represent physical locations. Grouping shared configuration at the organization level lets multiple sites reuse settings consistently.

Question 6Mist Cloud and Architecture Fundamentals

A company has three branch offices and wants each office to have its own floor plan and device inventory while sharing WLAN settings. How should the Mist hierarchy be structured?

  1. One organization with a single site and one Mist Edge per floor
  2. One site containing all devices from all three offices
  3. Three separate organizations, one per office
  4. Three sites under one organization, with shared WLAN objects at the organization level Correct answer.

Explanation

Sites map to physical locations, so each office should be its own site to hold its floor plan and inventory. Placing all three sites under one organization allows WLANs and other objects to be shared across them. Separate organizations would fragment management, and a single site would mix inventories.

Question 7Mist Cloud and Architecture Fundamentals

Which statement best describes how Mist handles firmware updates for managed access points?

  1. The cloud orchestrates firmware upgrades according to the configured upgrade schedule and site settings. Correct answer.
  2. Each AP must be manually upgraded through a local console session.
  3. Firmware upgrades are disabled because Mist APs never run new code.
  4. Firmware is upgraded only when the AP is factory reset.

Explanation

Mist manages firmware centrally from the cloud, applying upgrades based on organization or site upgrade schedules and policies. Administrators can control timing rather than touching each device locally. Manual console upgrades and reset-only upgrades are not the operational model.

Question 8Mist Cloud and Architecture Fundamentals

A network team wants to monitor a Mist deployment and integrate alerts into an existing ticketing system. Which Mist capability supports programmatic access to inventory, stats, and configuration?

  1. The Mist REST API with API tokens Correct answer.
  2. The Mist Edge console only
  3. The Junos commit script engine
  4. The AP's local web server

Explanation

Mist exposes a REST API secured by API tokens, letting teams read inventory, statistics, and configuration and integrate with external systems such as ticketing platforms. This API is a core part of the cloud architecture. Local AP web servers, Junos commit scripts, and the Mist Edge console are not the integration interface for cloud data.

Question 9Mist Cloud and Architecture Fundamentals

Which Mist feature provides a live view of client connectivity, RF health, and service-level metrics across the organization in the cloud UI?

  1. The Mist dashboard with SLEs and live monitoring Correct answer.
  2. The switch's spanning-tree topology view
  3. The Marvis virtual network assistant
  4. The AP's LED status indicators

Explanation

The Mist dashboard provides cloud-hosted monitoring, including Service Level Expectations (SLEs) and live client and RF views across the organization. It aggregates telemetry from managed devices. Marvis is the AI assistant layered on this data, while switch topology and LED indicators are narrower local signals.

Question 10Mist Cloud and Architecture Fundamentals

What is the primary purpose of Service Level Expectations (SLEs) in the Mist cloud?

  1. To configure RADIUS server failover
  2. To replace the need for any access points
  3. To define VLAN assignments for each SSID
  4. To measure and classify user experience metrics such as coverage, capacity, and roaming success Correct answer.

Explanation

SLEs are Mist's framework for measuring user experience by classifying events into success and failure and computing service-level metrics like coverage, capacity, roaming, and time to connect. They give an objective view of network health rather than raw counters alone. VLAN assignment and RADIUS failover are configuration tasks, not the purpose of SLEs.

Question 11Mist Cloud and Architecture Fundamentals

An admin notices that the 'Roaming' SLE is scoring poorly at one site. Which action best uses the Mist cloud to investigate?

  1. Disable all SSIDs to see if the score improves
  2. Drill into the SLE to view the failing roam events and affected clients, then correlate with AP placement Correct answer.
  3. Reboot every AP at the site immediately without reviewing data
  4. Replace the Mist Edge appliance as the first step

Explanation

Mist SLEs are actionable: you can drill into the metric to see the specific failure classifications, affected clients, and contributing APs. That evidence guides targeted fixes such as AP placement or configuration changes. Blind reboots, disabling SSIDs, or replacing hardware are not data-driven responses.

Question 12Mist Cloud and Architecture Fundamentals

Which statement correctly distinguishes the Mist cloud management plane from the data plane in a typical deployment?

  1. The management plane carries user traffic between clients and the internet.
  2. Both planes must run on the same physical appliance.
  3. The management plane handles configuration and orchestration, while client traffic is forwarded by the data plane. Correct answer.
  4. The data plane stores device configuration and the web UI.

Explanation

In Mist, the cloud management plane handles configuration, orchestration, and monitoring, while the data plane forwards client traffic through the APs and, optionally, Mist Edge. Separating these planes is central to the architecture and allows traffic to stay local. The planes need not share a physical appliance.

Question 13Mist Cloud and Architecture Fundamentals

A security team requires that guest client traffic at a branch exit to the internet locally rather than traversing a tunnel to a central site. Which Mist capability supports this requirement?

  1. The Mist REST API
  2. The AP's LED status
  3. Mist Edge local breakout Correct answer.
  4. Organization-level WLAN templates

Explanation

Mist Edge can anchor tunnels and provide local breakout so that traffic exits to the internet at the branch instead of being backhauled. This is a data-plane design choice enabled by the on-premises appliance. WLAN templates, the API, and LED indicators do not control traffic egress paths.

Question 14Mist Cloud and Architecture Fundamentals

Which Mist component uses AI to answer natural-language questions about the network and surface root-cause insights?

  1. Marvis Correct answer.
  2. Mist Edge
  3. The AP bootloader
  4. The Junos CLI

Explanation

Marvis is Mist's AI-driven virtual network assistant, using the cloud's telemetry to answer questions and provide root-cause analysis. It depends on the data collected by the cloud management plane. Mist Edge, the Junos CLI, and the bootloader are not AI assistants.

Question 15Mist Cloud and Architecture Fundamentals

An organization wants to restrict which administrators can modify WLAN settings at specific sites while allowing others read-only access. Which Mist construct governs this?

  1. Role-based access control with admin roles and site-level privileges Correct answer.
  2. The SLE threshold configuration
  3. The AP firmware upgrade schedule
  4. The switch port profile

Explanation

Mist provides role-based access control, letting administrators assign roles and scope privileges to organizations or specific sites. This governs who can view or modify configuration. SLE thresholds, firmware schedules, and port profiles control network behavior, not admin permissions.

Question 16Mist Cloud and Architecture Fundamentals

Which statement about the Mist cloud's multi-tenant organization model is accurate?

  1. Administrators can never be members of more than one organization.
  2. Sites can only exist outside any organization.
  3. Each AP must belong to multiple organizations simultaneously.
  4. An organization is a tenant boundary containing its own sites, devices, and administrators. Correct answer.

Explanation

The organization is the tenant boundary in Mist, containing its own inventory, sites, configuration, and administrator assignments. This separation supports managed service providers and multi-tenant deployments. APs belong to an organization, sites exist within organizations, and admins can be granted membership in multiple organizations.

Question 17Mist Cloud and Architecture Fundamentals

A junior admin asks why Mist APs do not require inbound firewall rules from the internet. What is the best explanation?

  1. APs disable their management interface entirely after boot.
  2. APs only communicate over Bluetooth.
  3. APs establish outbound connections to the cloud, so the cloud communicates over that established channel. Correct answer.
  4. APs rely on inbound SNMP from the cloud for all management.

Explanation

Because Mist devices initiate outbound HTTPS connections to the cloud, the management channel is established from inside the network. The cloud then uses that channel, so no inbound ports need to be opened. This design simplifies firewall policy and works well behind NAT.

Question 18Mist Cloud and Architecture Fundamentals

Which Mist capability allows an administrator to define reusable WLAN settings once and apply them across many sites?

  1. Mist Edge clustering
  2. WLAN templates Correct answer.
  3. Local DHCP scopes
  4. Per-AP static routes

Explanation

WLAN templates are reusable configuration objects in the Mist cloud that can be applied across multiple sites, reducing duplication and drift. They are part of the organization-level configuration model. Static routes, Mist Edge clustering, and DHCP scopes address other concerns.

Question 19Mist Cloud and Architecture Fundamentals

A managed service provider manages networks for several customers. How does Mist support separating each customer's data and configuration?

  1. By disabling the REST API for all but one customer
  2. By creating a separate organization for each customer Correct answer.
  3. By using a separate Mist Edge for each AP
  4. By assigning each customer a unique SLE threshold

Explanation

Each customer can be represented as its own organization, which provides a clean tenant boundary for inventory, configuration, and administrator access. MSP administrators can be granted access to the relevant organizations. Mist Edge placement, SLE thresholds, and API restrictions do not create tenant separation.

Question 20Mist Cloud and Architecture Fundamentals

Which statement best describes how the Mist cloud handles configuration backup and version history?

  1. Configuration is maintained in the cloud, providing a central source of truth and history. Correct answer.
  2. Configuration must be exported nightly by the administrator to remain valid.
  3. Configuration is stored only on each AP's local flash and lost if the AP fails.
  4. Configuration is stored only in the Mist Edge appliance.

Explanation

Because Mist is cloud-managed, the configuration lives centrally in the cloud rather than only on individual devices. This provides a single source of truth and supports recovery and auditing. Local-only storage, mandatory nightly exports, and Mist Edge-only storage are not accurate.

Question 21Mist Cloud and Architecture Fundamentals

An admin wants to receive an alert when a specific site's coverage SLE drops below a target. Which Mist feature is most directly used to configure this?

  1. The AP's local syslog file
  2. The switch's LLDP neighbor table
  3. SLE threshold and alert configuration in the cloud Correct answer.
  4. The Mist Edge boot menu

Explanation

Mist lets administrators set SLE targets and configure alerts so that teams are notified when experience metrics fall below thresholds. This is managed in the cloud UI. Local syslog, LLDP tables, and boot menus do not provide cloud alerting on SLEs.

Question 22Mist Cloud and Architecture Fundamentals

Which statement about Marvis is accurate in the context of the Mist architecture?

  1. Marvis runs entirely on the AP and does not use cloud data.
  2. Marvis is a hardware appliance installed at each site.
  3. Marvis replaces the need for a management plane.
  4. Marvis leverages cloud-collected telemetry to provide AI-driven insights and answers. Correct answer.

Explanation

Marvis is a cloud-based AI assistant that draws on telemetry collected by the Mist management plane to answer questions and diagnose issues. It is not an on-premises appliance and does not replace the management plane. Its value depends on the cloud data pipeline.

Question 23Mist Cloud and Architecture Fundamentals

A design team is comparing a cloud-only Mist deployment with one that includes Mist Edge. Which consideration most directly justifies adding Mist Edge?

  1. The organization wants to replace the REST API with a local interface
  2. The organization wants to move configuration management off the cloud
  3. The organization needs local data-plane breakout or tunneling for traffic that cannot be backhauled Correct answer.
  4. The organization wants to eliminate the need for internet egress at the branch

Explanation

Mist Edge is justified when traffic handling requirements call for an on-premises data-plane anchor, such as local breakout or tunneling. Management remains in the cloud regardless. It does not remove the need for internet egress or replace the API.

Question 24Mist Cloud and Architecture Fundamentals

Which statement correctly describes the relationship between the Mist cloud and the access points during normal operation?

  1. APs send telemetry only when an administrator manually triggers an upload.
  2. APs maintain ongoing connectivity to the cloud for configuration, telemetry, and monitoring. Correct answer.
  3. APs poll the cloud only once at boot and then operate fully standalone forever.
  4. APs cannot forward client traffic unless the cloud is reachable at that instant.

Explanation

Mist APs maintain ongoing connections to the cloud, exchanging configuration and streaming telemetry that powers monitoring and SLEs. They continue forwarding client traffic locally even during brief cloud outages, so data forwarding does not depend on instant cloud reachability. One-time polling and manual-only telemetry are incorrect.

Question 25Mist Cloud and Architecture Fundamentals

An administrator is troubleshooting why a newly installed AP never appears in the Mist inventory. Which cloud-architecture factor is the most likely first thing to verify?

  1. Whether the AP has been assigned a public IP address
  2. Whether the switch port is set to full duplex
  3. Whether the AP's LED is a specific color
  4. Whether the AP has outbound internet access to reach the Mist cloud Correct answer.

Explanation

For an AP to appear in inventory, it must reach the Mist cloud over outbound HTTPS. Verifying DNS and internet egress from the AP's VLAN is the logical first check in the cloud architecture. LED color, duplex settings, and a public IP are not prerequisites for cloud onboarding.

Question 26Mist Cloud and Architecture Fundamentals

Which Mist cloud component is responsible for storing device configuration and pushing it to access points?

  1. The Mist AI engine
  2. The Mist Edge appliance
  3. The Mist data plane
  4. The Mist cloud management plane Correct answer.

Explanation

The Mist cloud management plane handles configuration storage and distribution to devices. It is the central point for orchestrating and pushing config changes, while the data plane handles user traffic and Mist Edge extends data plane functions on-premises.

Question 27Mist Cloud and Architecture Fundamentals

An administrator wants to ensure that a new WLAN configuration is applied consistently across all sites in an organization. Which Mist feature should be used?

  1. Per-AP overrides
  2. Organization-level WLAN templates Correct answer.
  3. Site-level WLAN templates
  4. Device-level configuration

Explanation

Organization-level WLAN templates allow reusable settings to be defined once and applied across multiple sites, ensuring consistency. Site-level templates are scoped to individual sites, and device-level or per-AP overrides are not designed for organization-wide consistency.

Question 28Mist Cloud and Architecture Fundamentals

Which statement best describes how the Mist cloud supports role-based access control (RBAC) for administrators?

  1. Administrators are assigned roles that define permissions at the organization or site level. Correct answer.
  2. Administrators are granted full access by default and must be manually restricted per device.
  3. RBAC is enforced only through integration with an external LDAP server.
  4. RBAC is limited to read-only or read-write access for the entire organization.

Explanation

Mist RBAC allows roles to be assigned with permissions scoped to either the organization or specific sites, enabling granular control. This lets organizations restrict administrative actions based on role and scope.

Question 29Mist Cloud and Architecture Fundamentals

In a Mist deployment, what is the primary function of the Mist Edge appliance?

  1. To host the Mist cloud management plane on-premises
  2. To act as a firewall for all guest traffic
  3. To provide local data plane termination and tunneled traffic for specific services Correct answer.
  4. To replace the need for Mist access points

Explanation

Mist Edge extends the data plane on-premises, allowing local termination of tunneled traffic such as guest or corporate traffic that must break out locally. It does not host the management plane or replace APs.

Question 30Mist Cloud and Architecture Fundamentals

A network engineer needs to ensure that a specific site's configuration is not accidentally changed by administrators who should only manage other sites. Which Mist feature should be configured?

  1. Site-level admin roles with restricted scope Correct answer.
  2. Organization-level admin roles with full access
  3. Device-level admin passwords
  4. API tokens with read-only access

Explanation

Site-level admin roles allow permissions to be scoped to specific sites, preventing administrators from modifying other sites. Organization-level roles grant broader access, and device passwords or API tokens do not control UI-based configuration changes.

Question 31Mist AI and Machine Learning Concepts

In Mist AI, which term describes the baseline behavior learned from historical network telemetry that is used to detect anomalies?

  1. Service level expectation
  2. RF template
  3. Dynamic baseline Correct answer.
  4. Sleep score

Explanation

A dynamic baseline is the learned model of normal behavior built from historical telemetry such as throughput, client counts, and success rates. Mist compares live measurements against this baseline so that deviations can be flagged as anomalies rather than judged against fixed static thresholds.

Question 32Mist AI and Machine Learning Concepts

Which Mist capability classifies client devices into categories such as iPhone, Windows laptop, or IoT sensor so that policies and analytics can be applied per device type?

  1. Device fingerprinting Correct answer.
  2. Site survey
  3. Packet capture
  4. Rogue AP containment

Explanation

Device fingerprinting examines attributes from traffic and DHCP/HTTP user agents to identify the operating system and device family behind a MAC address. This classification feeds into SLEs, policy, and reporting so behavior can be analyzed per device type rather than per anonymous MAC.

Question 33Mist AI and Machine Learning Concepts

What is the primary purpose of a Marvis action in the Mist AI portfolio?

  1. To provide a recommended remediation step for a detected network issue Correct answer.
  2. To encrypt management traffic between access points and the cloud
  3. To generate RF heatmaps for a floor plan
  4. To schedule automatic firmware upgrades for all access points

Explanation

Marvis actions surface detected problems together with a recommended remediation, and in many cases the action can be executed directly from the Mist dashboard. They translate AI-driven insights into concrete operational steps for administrators.

Question 34Mist AI and Machine Learning Concepts

A wireless engineer wants a single percentage that summarizes whether clients at a site are achieving successful connectivity over the last day. Which Mist metric should be used?

  1. The capacity SLE
  2. The AP uptime counter
  3. The successful connect SLE Correct answer.
  4. The coverage SLE

Explanation

The successful connect SLE measures the proportion of client connection attempts that succeed, expressed as a percentage over a selected time window. It is the SLE that directly answers whether clients are able to join the network successfully.

Question 35Mist AI and Machine Learning Concepts

Which statement best describes how Mist AI uses supervised learning in the context of client experience?

  1. It only stores raw telemetry without building any model
  2. It clusters unlabeled telemetry into groups without any outcome labels
  3. It replaces all configuration templates with manually written rules
  4. It trains models on labeled historical outcomes to predict classifications such as whether a client will connect successfully Correct answer.

Explanation

Supervised learning uses historical data paired with known outcomes as labels so the model can learn to predict those outcomes on new data. In Mist, labeled connection outcomes can train classifiers that estimate whether a client will connect successfully.

Question 36Mist AI and Machine Learning Concepts

What does the Mist term 'wireless client' refer to in the context of SLE calculations?

  1. Only devices connected through an Ethernet switch port
  2. Any device that associates to an SSID over Wi-Fi Correct answer.
  3. Only access points managed by the organization
  4. Only guest users authenticated through a captive portal

Explanation

Mist classifies a client as wireless when it associates to an SSID through a Wi-Fi access point, and SLEs such as coverage and roaming are computed for that population. Wired clients are tracked separately because their experience depends on switch ports rather than RF conditions.

Question 37Mist AI and Machine Learning Concepts

Which Mist feature provides a natural-language chat interface that answers questions about the network and can explain why a client is experiencing problems?

  1. Webhook
  2. Wired assurance
  3. Marvis Correct answer.
  4. RF template

Explanation

Marvis is the Mist AI virtual assistant that accepts natural-language questions and returns explanations about client, device, and network issues. It draws on telemetry and learned models to give conversational troubleshooting answers.

Question 38Mist AI and Machine Learning Concepts

An administrator wants Mist to notify a third-party ticketing system automatically when an SLE falls below its threshold. Which mechanism is designed for this?

  1. A site survey
  2. An RF template
  3. A webhook alert Correct answer.
  4. A DHCP option set

Explanation

Webhooks let Mist push event and alert data to an external HTTP endpoint, which can be a ticketing or incident system. When an SLE crosses its configured threshold, the resulting alert can be delivered through the webhook.

Question 39Mist AI and Machine Learning Concepts

A site's successful connect SLE drops sharply for one building while other buildings remain stable. Which approach best reflects Mist AI-driven troubleshooting?

  1. Increase the transmit power on every AP in the organization
  2. Disable the SLE so it stops generating alerts
  3. Immediately replace all access points in the building
  4. Use the SLE drill-down to identify affected clients and APs, then review Marvis actions for a recommended cause Correct answer.

Explanation

Mist troubleshooting starts by drilling into the failing SLE to see which clients and APs are affected, then using Marvis insights and actions to identify a likely root cause. This targeted approach avoids disruptive blanket changes before the cause is understood.

Question 40Mist AI and Machine Learning Concepts

What distinguishes an anomaly detected by Mist AI from a simple static threshold alarm?

  1. An anomaly is generated only for wired switches
  2. An anomaly only triggers when a device reboots
  3. An anomaly requires a manual threshold configured for every client
  4. An anomaly is based on deviation from a learned baseline that accounts for time-of-day and historical patterns Correct answer.

Explanation

Mist anomaly detection compares current behavior to a dynamic baseline that reflects historical and time-of-day patterns, so it can flag unusual conditions without a fixed number for every metric. Static threshold alarms fire on a single configured value regardless of context.

Question 41Mist AI and Machine Learning Concepts

A client repeatedly roams between APs and the roaming SLE shows failures. Which explanation of the SLE is most accurate?

  1. The roaming SLE measures the latency of the management cloud
  2. The roaming SLE measures DHCP pool utilization on the VLAN
  3. The roaming SLE measures the percentage of successful roams between APs for wireless clients Correct answer.
  4. The roaming SLE measures the number of access points deployed per floor

Explanation

The roaming SLE quantifies how often wireless clients complete a roam from one AP to another successfully. Failures point to issues such as insufficient overlap, mismatched security, or sticky clients.

Question 42Mist AI and Machine Learning Concepts

Which Mist concept groups client and device telemetry so that AI models can compare a site against peer sites with similar characteristics?

  1. Static VLAN assignment
  2. Port mirroring
  3. Spanning tree topology
  4. Peer comparison within the same site grouping Correct answer.

Explanation

Mist can compare a site's metrics against peer sites in a comparable grouping, which helps separate site-specific problems from broader trends. This peer context makes anomaly interpretation more meaningful than looking at a single site in isolation.

Question 43Mist AI and Machine Learning Concepts

What role does reinforcement learning play in Marvis-driven network operations as described by Mist?

  1. It learns from outcomes of actions taken so recommendations can improve over time Correct answer.
  2. It replaces the need for any telemetry collection
  3. It permanently disables all manual configuration
  4. It converts wireless frames into wired Ethernet frames

Explanation

Reinforcement learning uses feedback from the results of actions to refine future recommendations, allowing the system to learn which remediations tend to resolve particular issues. Telemetry collection and manual configuration remain necessary inputs and controls.

Question 44Mist AI and Machine Learning Concepts

An administrator notices the capacity SLE is degraded during large meetings. Which interpretation is most consistent with Mist SLE semantics?

  1. The DHCP server has run out of addresses for the entire site
  2. The access points have all lost their cloud connection
  3. The organization's WAN link is down
  4. Clients may be experiencing reduced performance because demand exceeds available RF or network resources Correct answer.

Explanation

The capacity SLE reflects whether the network has enough resources, such as airtime and bandwidth, to serve client demand. Degradation during high-density events points to resource contention rather than to a total outage.

Question 45Mist AI and Machine Learning Concepts

Which statement correctly describes how Mist uses unsupervised learning?

  1. It guarantees that every detected pattern is a fault
  2. It requires a human to label every packet before analysis
  3. It only applies to firmware version comparison
  4. It groups similar telemetry patterns without predefined labels to reveal structure in the data Correct answer.

Explanation

Unsupervised learning finds structure in unlabeled data by grouping similar observations, which can reveal clusters or patterns that were not anticipated. It does not require per-packet human labeling and does not guarantee that every pattern represents a fault.

Question 46Mist AI and Machine Learning Concepts

A help desk analyst asks Marvis why a specific user's laptop keeps disconnecting. What is the most appropriate use of the Marvis conversational interface?

  1. Reboot every access point on the floor
  2. Change the SSID password for all users
  3. Query the client by identifier and review the returned explanation of likely causes Correct answer.
  4. Run a full site survey before answering

Explanation

Marvis can be queried about a specific client and returns an explanation of the likely causes based on that client's telemetry. This lets the analyst address the individual case without disruptive organization-wide changes.

Question 47Mist AI and Machine Learning Concepts

Which Mist capability helps an operator understand whether a problem is isolated to one client, one AP, or an entire site?

  1. Static ARP entries
  2. BGP route reflectors
  3. SLE drill-down with scope filters Correct answer.
  4. Firmware checksum verification

Explanation

SLE drill-down lets the operator filter by client, AP, band, or site to determine the scope of a problem. This scoping is essential for deciding whether remediation should target a device, a location, or a broader configuration.

Question 48Mist AI and Machine Learning Concepts

What is the relationship between an SLE threshold and Mist alerting?

  1. The threshold is ignored by Marvis
  2. The threshold only applies to wired clients
  3. When the SLE value crosses the configured threshold, Mist can generate an alert and trigger notifications Correct answer.
  4. The threshold permanently disables the SLE once reached

Explanation

An SLE threshold defines the target level of performance, and when the measured value falls below it Mist can raise an alert. Alerts can then be delivered through notification channels such as webhooks or email.

Question 49Mist AI and Machine Learning Concepts

Which description best captures the Mist data pipeline from telemetry to insight?

  1. APs compute all AI models locally without any cloud involvement
  2. Only manual log uploads by administrators feed the models
  3. Insights are generated from configuration files alone
  4. APs and switches send telemetry to the Mist cloud, where models compute SLEs and surface insights Correct answer.

Explanation

Mist devices stream telemetry to the cloud, where AI models process it to compute SLEs, detect anomalies, and generate insights and Marvis actions. The cloud-based pipeline aggregates data across sites so models benefit from broader context.

Question 50Mist AI and Machine Learning Concepts

A network team wants to reduce mean time to repair by letting Mist automatically identify and in some cases resolve common issues. Which combination of Mist features best supports this goal?

  1. Manual syslog review together with static thresholds only
  2. Packet captures together with port mirroring only
  3. Marvis actions together with SLE-driven alerting Correct answer.
  4. Site surveys together with RF templates only

Explanation

Marvis actions provide AI-recommended or automated remediation, while SLE-driven alerting surfaces problems as they emerge. Together they shorten the detect-and-resolve cycle compared with manual log review.