When a customer requests a subscription renewal for Juniper Mist services via e-mail, the process is handled through a coordinated workflow between the Juniper Mist Cloud licensing system and Juniper Support . The renewal request ensures that existing service entitlements—such as Wireless Assurance , Wired Assurance , WAN Assurance , Marvis AI , or Premium Analytics —continue without interruption.

According to the Juniper Mist Cloud Licensing and Subscription Management Guide , the renewal workflow is described as follows:

“When a renewal request is submitted via e-mail, Juniper Mist support receives and validates the request, initiates processing for the selected subscriptions, and issues a new activation code once the renewal is completed.”

Here’s what happens after the renewal request:

B. The Juniper Mist system sends a confirmation e-mail acknowledging the renewal request and routes it to support for processing .

C. Once processed, Juniper Mist generates and delivers an activation code via e-mail that must be entered into the Mist portal to activate the renewed subscription(s).

Incorrect options:

A: No promotional materials or physical packages are sent.

D: A cancellation notice is not sent for renewal requests; it applies only to expired or terminated subscriptions.

Therefore, the correct answers are B. Juniper Mist e-mails the support request for the selected subscriptions and C. Juniper Mist processes the order and sends an activation code.

Among Juniper Mist’s Location-Based Services , Asset Visibility provides the most accurate location tracking capabilities. This is achieved through the use of vBLE (virtual Bluetooth Low Energy) technology, which leverages a patented 16-element BLE antenna array integrated into Mist Access Points for Angle of Arrival (AoA) calculations.

According to the Juniper Mist Location-Based Services Technical Overview :

“Asset Visibility delivers sub-meter location accuracy by using BLE-based triangulation combined with Mist AI’s machine learning algorithms for continuous calibration.”

While Wi-Fi location offers approximate device tracking based on signal strength and triangulation, and Proximity Detection identifies nearby devices, Asset Visibility provides precise real-time tracking of BLE-tagged objects and devices.

User Engagement , on the other hand, focuses on customer-facing mobile interactions, not accuracy optimization.

Therefore, the correct answer is C. Asset Visibility.

In the Juniper Mist Cloud licensing model , subscriptions represent service entitlements that enable specific features such as Wireless Assurance , Wired Assurance , WAN Assurance , Marvis Virtual Network Assistant , and Premium Analytics . These subscriptions are managed at the organization level and are not permanently tied to individual hardware units.

According to the Juniper Mist Licensing and Subscription Management Guide , subscriptions are:

“Cloud-based entitlements associated with an organization, not bound to specific device serial numbers. Devices draw from the subscription pool dynamically.”

This design allows flexibility and simplifies device replacement or scaling:

When a new device (for example, an access point or switch) is added to the organization, the subscription is automatically assigned to it from the available pool.

If a device is removed or fails , the subscription is automatically released and reassigned to a replacement unit—no manual transfer is required.

Therefore:

A is correct because subscriptions are not linked to a single device’s serial number.

D is correct because subscriptions automatically reapply when replacement devices are onboarded.

Options B and C are incorrect because Juniper Mist subscriptions are organization-based, not hardware-bound, and require no manual reassignment after device failure or replacement.

Within the Juniper Mist Wireless Assurance dashboard , the Capacity SLE (Service Level Expectation) provides visibility into how well the network can handle concurrent users and traffic loads. It identifies the contributing factors, or classifiers , responsible for degraded capacity performance such as Wi-Fi interference, network issues, Ethernet problems, or authorization delays .

According to the Juniper Mist AI Operations and SLE Analytics Guide , the platform:

“Uses classifiers to break down SLE metrics and identify which network factors most heavily contribute to sub-threshold performance.”

In the exhibit, the Wi-Fi interference classifier has the longest bar reaching the full 17% , clearly showing it as the largest contributor to capacity degradation. Wi-Fi interference occurs when multiple APs or nearby wireless networks overlap on the same channel, resulting in increased contention, collisions, and reduced airtime availability — all of which impact overall capacity.

Therefore, the correct answer is D. Wi-Fi Interference.

The Juniper Mist Asset Visibility service provides real-time tracking and visibility for important devices and objects within indoor environments such as hospitals, offices, or warehouses. It uses Bluetooth Low Energy (BLE) technology and Mist vBLE-enabled access points to determine the precise location of tagged assets.

According to the Juniper Mist Location Services Guide , the feature is defined as:

“Asset Visibility leverages virtual Bluetooth LE technology and BLE tags to locate and track assets on floor plans in real time, providing actionable location-based intelligence.”

Key functionalities include:

Tracking BLE-tagged assets such as medical equipment, IT devices, or inventory.

Displaying live location information on floor maps.

Integrating with external asset management or workflow systems.

While User Engagement focuses on customer-facing location experiences (e.g., navigation or proximity marketing), Asset Visibility is designed specifically for internal asset monitoring and operational efficiency.

Therefore, the correct answer is C. Asset Visibility.

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.

In Juniper Mist AI , various machine learning (ML) techniques are applied across the platform to analyze network telemetry and improve performance insights. Among these, unsupervised learning plays a critical role in identifying patterns, trends, and anomalies in unlabeled datasets—data that has not been pre-classified or annotated.

According to the Juniper Mist AI and Machine Learning Overview :

“Unsupervised learning enables Mist AI to automatically detect abnormal patterns or clusters in large volumes of unlabeled network data, allowing the system to identify anomalies and optimize network behavior without human labeling.”

This method allows Mist AI to autonomously recognize deviations in user experience, traffic behavior, or radio performance without prior definitions, helping to enhance predictive analytics and anomaly detection.

By contrast:

Supervised learning requires labeled training data.

Reinforcement learning learns through trial-and-error feedback loops.

Cognitive learning is not a formal ML category—it refers to human-inspired reasoning.

Therefore, the correct answer is D. Unsupervised learning.

The Predictive Analytics and Correlation Engine (PACE) is the core AI and data analytics component of 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 the Juniper 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 is A. Predictive Analytics and Correlation Engine (PACE).

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.

The Juniper Mist Cloud portal provides a user-friendly interface that supports multiple languages to enhance accessibility for global users. The language preference determines the display language for menus, dashboards, and configuration pages across the Mist UI.

According to the Juniper Mist Cloud Administration Guide , the portal’s language can be modified as follows:

“Users can change the display language of the Mist portal using the Change Language drop-down list located in the upper-right corner of the interface.”

This option allows users to immediately switch the UI language without affecting other users in the organization or requiring administrative permissions. The change is applied per user profile and is stored for future sessions.

Other listed options are invalid:

A: The Alerts page does not include language settings.

B: The My Account page shows personal info but not display language options.

C: Organization templates are unrelated to UI preferences.

Therefore, the correct answer is D. Use the Change Language drop-down list of the Juniper Mist portal.