JN0-253 Exam Dumps - Juniper JNCIA-MistAI Questions and Answers

Thesession policy settingsin theJuniper Mist Clouddefine how long a user session remains active and how the system manages session expirations due to inactivity. These configurations help ensure bothsecurityandefficient resource managementacross the Mist Cloud portal and API sessions.

According to theJuniper Mist Cloud Administration and Security Configuration Guide:

“Session policy defines session timeout and inactivity timeout parameters, controlling how long users can remain logged into the Mist Cloud portal or API before re-authentication is required.”

Session Timeout:Specifies the maximum duration a session can remain active, regardless of activity.

Inactivity Timeout:Defines how long a session can remain idle before automatic logout.

These policies help maintain strong access security by reducing the risk of unauthorized access through stale sessions.

Other options such as password complexity (A, C) and two-factor authentication (D) are configured underauthentication and access policies, not session policies.

Therefore, the correct answer isB. The duration for session timeout and inactivity timeout.

A self-driving AI network is comprised of two foundational components: actions and telemetry. According to Juniper’s own communications, "Marvis AI analyzes telemetry across the wired, wireless, WAN and data center domains, and creates automated workflows to simplify operations and lower costs. Agentic AI: Accelerating self-driving operations." Telemetry provides real-time continuous data and metrics from the network, including client, device, and application health, enabling the AI engine to build a current, actionable state model. Actions refer to proactive, automated tasks performed by the AI, such as remediating misconfigured ports, resolving anomalies, optimizing performance, and self-healing operations—"Expanded Self-Driving Actions… the Marvis Actions dashboard now supports the autonomous remediation of more network issues." Human interface and support tickets are beneficial for management and support, but the core capabilities of a self-driving AI network are telemetry (data/observability) and actions (automation/remediation).​

In theJuniper Mist SD-WANsolution,device-specific WAN Edge templatesare used to streamline the deployment and configuration ofJuniper SRX or SSR (Session Smart Router)devices serving as WAN Edge nodes. These templates ensure consistent and accurate configurations across a distributed WAN environment while accounting for differences in hardware models and interface types.

According to theJuniper Mist WAN Assurance and SD-WAN Configuration Guide, device-specific templates:

“Automatically generate configuration elements tailored to the hardware platform, including interfaces, ports, and device capabilities.”

They are part of Mist’scloud-managed SD-WAN automation framework, which combines WAN Assurance and AI-driven insights to manage branch connectivity. The templates simplify provisioning by populating device-level parameters such as:

Interface naming and mapping based on the device model.

Hardware-specific configurations like tunnel endpoints, IP addressing, and routing settings.

Security and performance policies consistent with the organization’s SD-WAN design.

OptionsA,C, andDare incorrect because:

A(WLAN template automation) pertains to wireless network configuration, not WAN edge devices.

C(traffic inspection) relates to firewall or security policies handled by SRX’s UTM features, not templates.

D(monitoring and attack prevention) falls under Mist’s security or analytics capabilities, not the template function.

Therefore, the correct answer isB. To automatically generate configuration elements specific to device models.

InJuniper Mist Wireless Assurance,Service Level Expectations (SLEs)are key metrics that measure different aspects of the end-user experience. Each SLE focuses on a distinct area of network performance such asConnection,Roaming,Throughput, andCoverage.

TheCoverage SLEspecifically measures whether wireless clients are receiving adequate signal strength (RSSI) and signal quality (SNR) from access points. According to theJuniper Mist AI Operations and SLE Analytics Guide, this metric is defined as:

“The Coverage SLE quantifies the percentage of client sessions that meet the required signal strength and quality thresholds. Low coverage indicates areas with weak or inconsistent RF signal levels.”

When users experienceweak signal or dead zones, theCoverage SLEprovides insight into where and why these issues occur. Mist AI identifies sub-classifiers such asSignal Quality,Wi-Fi Interference, orAirtime Utilization, allowing administrators to isolate the cause of poor signal conditions.

Therefore, in the exhibit shown, an administrator would investigate theCoverage SLE (79%), as it directly relates to signal weakness or RF coverage problems.

In theJuniper Mist Cloud architecture, data is collected and streamed from variousedge devicesto the Mist Cloud platform, whereAI-driven analytics,automation, andtelemetry correlationoccur. OnlyMist-managed devicesthat are cloud-connected contribute operational telemetry data to Mist AI for analysis.

According to theJuniper Mist Cloud Architecture and Operations Guide:

“Access Points, Juniper Mist Edge devices, and Session Smart Routers (SSR) communicate directly with the Mist Cloud, sending telemetry, configuration, and analytics data in real time.”

Access Points (B):Provide wireless client telemetry, RF statistics, and user SLE (Service Level Expectation) data.

Session Smart Routers (C):Supply WAN Assurance and routing analytics, including path and session health data.

Juniper Mist Edge (D):Acts as an on-premises gateway that forwards data and enables local breakout for Mist Cloud services.

Syslog ServersandRADIUS Serversare external systems and do not send native telemetry to the Mist Cloud—they only interact through authentication or logging integrations.

TheJuniper Mist Cloud platformis built on amicroservices-based architecture, where individual software components perform specific functions and communicate using well-definedApplication Programming Interfaces (APIs).

According to theJuniper Mist Cloud Architecture and Operations Guide:

“Microservices communicate through secure APIs, allowing independent services to interact seamlessly while maintaining modularity and isolation.”

This architectural design provides major operational benefits, including:

Independent scalability– each service can scale based on workload demand.

Fault isolation– failures in one service do not affect others.

Continuous deployment– updates can be made to one service without impacting the rest of the platform.

Incorrect options:

B:Juniper Mist microservices are independently updated, not deployed as one suite.

C:They are independent, not dependent on one another.

D:Each microservice maintains its own data model; they do not rely on a single shared database.

Thus, the correct answer isA. Microservices communicate with each other using APIs.

According to the official Juniper Mist documentation on the configuration hierarchy, the platform uses a three-tier model: Organization → Site → Device. At the organization level, you manage administrator accounts, subscriptions, and organization-wide settings. Then:

“An organization can include one or more sites. A site can represent a physical location or a logical subdivision of your enterprise or campus.”

Also, in the simpler case explanation:

“Each customer is created as a separate organization. Within that organization multiple sites can be created.”

Mist

These statements make clear that the correct relationship is: one organization may have multiple sites under it. The inverse — that a site might contain multiple organizations — is not supported in the documented hierarchy. Therefore option B is correct.

Dynamic Port Configuration (DPC)inJuniper Mist Wired Assuranceallows EX Series switches to automatically assign port profiles, VLANs, and policies to connected devices based on their unique identifiers. This automation simplifies switch management and ensures consistent configurations across distributed networks.

According to theJuniper Mist Wired Assurance Configuration and Dynamic Port Management Guide:

“Dynamic Port Configuration matches connected endpoints using identifiers such as LLDP chassis ID and MAC address to assign the appropriate port profile or VLAN automatically.”

LLDP Chassis ID (C):Identifies the connected device by its LLDP advertisement, often representing a switch, phone, or AP.

MAC Address (D):Provides unique device identification, ensuring precise port and VLAN assignment even when LLDP data is unavailable.

OptionsA (Serial Number)andB (IP Address)are not used for port configuration matching in DPC because they are not always available at the time of link establishment.

Therefore, the correct answers areC. LLDP Chassis IDandD. MAC Address.

TheJuniper Mist Wired Assuranceplatform uses ahierarchical configuration modelto manage switch settings efficiently across organizations and sites. This hierarchy provides flexibility by allowing administrators to applyglobal configurationsthrough templates at theorganization level, while also permitting site-specific customizations.

According to theJuniper Mist Wired Assurance Configuration and Template Management Guide, the configuration hierarchy functions as follows:

“Switch templates can be created at both the organization and site levels. Organization-level templates define global configurations, while site-level templates provide location-specific customization that overrides the organization-level settings where applicable.”

This structure enables consistent policy deployment while preserving site autonomy for unique configurations. For example, global VLAN or QoS configurations can be managed at the organization level, and local templates can adjust settings for switch ports or device groups at specific sites.

Switch-specific overrides are allowed within the hierarchy, ensuring flexibility in cases where unique port or feature configurations are required.

Therefore:

Bis correct because switch templates exist at theorganization levelfor global use.

Cis correct because switch templates also exist at thesite levelfor localized adjustments.

InJuniper Mist AI, the concept of aBad User Minute (BUM)is a core metric used withinService Level Expectations (SLEs)and theAI-driven analytics engineto quantify negative user experience.

According to theJuniper Mist AI Operations and SLE Analytics Guide, a “bad user minute” is defined as:

“A normalized measure that represents one minute of degraded user experience for one user.”

Mist AI calculates this by multiplying the number of affected users by the number of minutes they experience poor performance. This allows administrators to understand the impact of network issues not just in duration, but in terms of total user experience degradation.

For example, if ten users experience poor connectivity for one minute, the system records10 bad user minutes. This normalization helps Juniper Mistprioritize incidents based on impact, rather than duration alone, allowing administrators to focus on issues that affect the greatest number of users.

Therefore:

Bis correct — it’s a way to normalize a user’s negative experience.

Dis correct — it’s calculated asnumber of affected users × number of minutes affected.