JNCIA-MistAI free practice test

All questions and explanations

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1. Question 1

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   What does Mist AI primarily help IT teams achieve?

   1. Automated management and insights for wired and wireless networks

   2. Hardware design for data center switches

   3. Firewall policy optimization

   4. On-premises server virtualization

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   • Automated management and insights for wired and wireless networks

   Mist AI provides cloud-driven insights and automation for network operations, simplifying wired and wireless management. The other options describe unrelated functions.

2. Question 2

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   Which connectivity method is commonly used to link on-premises devices to the Mist cloud?

   1. Outbound HTTPS from the appliance to the cloud

   2. Inbound SSH initiated from the cloud

   3. Direct physical serial connection

   4. Unencrypted HTTP for performance

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   • Outbound HTTPS from the appliance to the cloud

   The Mist system typically uses an outbound HTTPS connection from the local appliance to establish secure communication with the cloud. Inbound connections from the cloud are generally not used for this purpose.

3. Question 3

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   What is a common use case for AI-driven anomaly detection in Mist AI?

   1. Identifying sudden changes in network performance or client behavior

   2. Automatically ordering new network hardware

   3. Configuring VLANs on edge routers

   4. Replacing RADIUS servers for authentication

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   • Identifying sudden changes in network performance or client behavior

   AI-driven anomaly detection helps identify unusual patterns that may indicate issues such as interference, rogue devices, or configuration problems. The other choices are not typical functions of anomaly detection.

4. Question 4

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   What does a high client retry rate typically indicate in Mist AI monitoring?

   1. Strong signal coverage and high throughput

   2. Interference or connectivity issues affecting wireless clients

   3. Successful authentication via external RADIUS

   4. Optimal application performance for video traffic

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   • Interference or connectivity issues affecting wireless clients

   A high client retry rate often points to wireless interference, signal degradation, or client configuration problems. Mist AI surfaces this metric to help troubleshoot connectivity issues.

5. Question 5

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   Which feature allows Mist AI to simplify the deployment of new access points?

   1. Zero Touch Provisioning

   2. Manual CLI configuration on each device

   3. Static IP assignment via DHCP reservation

   4. Physical installation by a certified technician

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   • Zero Touch Provisioning

   Zero Touch Provisioning enables new access points to automatically connect to the Mist system and retrieve configuration, reducing manual setup. This is a core workflow in Mist deployments.

6. Question 6

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   What is a typical outcome of enabling application visibility in Mist AI?

   1. Identification and classification of user applications and traffic

   2. Automatic blocking of all non-approved applications

   3. Replacement of network switches with wireless-only devices

   4. Reduction in the number of required access points

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   • Identification and classification of user applications and traffic

   Application visibility allows Mist AI to recognize and report on different types of traffic, helping teams understand usage patterns and troubleshoot issues. It does not enforce policies on its own.

7. Question 7

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   Which component is responsible for storing configuration and providing the user interface in Mist AI?

   1. Mist Cloud organization and dashboard

   2. Local access point firmware

   3. On-premises database server

   4. External third-party controller

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   • Mist Cloud organization and dashboard

   The Mist Cloud organization and dashboard serve as the central control plane, storing configurations and offering a web-based interface for management. Access points act as edge devices reporting telemetry.

8. Question 8

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   What does site health in Mist AI help administrators monitor?

   1. Overall performance and issues across locations and devices

   2. Employee satisfaction and office environment conditions

   3. Software license usage for third-party applications

   4. Physical security status of data center racks

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   • Overall performance and issues across locations and devices

   Site health provides a centralized view of network performance, alerts, and device status across branches or campuses. It helps in proactive issue identification.

9. Question 9

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   Which protocol is often used by Mist AI devices for secure communication with the cloud?

   1. HTTPS

   2. FTP

   3. Telnet

   4. SNMPv1

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   • HTTPS

   Mist AI devices typically use HTTPS for encrypted communication with the cloud platform, ensuring data integrity and confidentiality. Other listed protocols are either insecure or not primarily used for cloud telemetry.

10. Question 10

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    What is a common use of location analytics in Mist AI?

    1. Tracking client device movement trends for business insights

    2. Physically locating lost mobile devices on a map

    3. Routing packets across wide-area networks

    4. Encrypting data at the application layer

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    • Tracking client device movement trends for business insights

    Location analytics can provide insights into device presence and movement patterns, useful for understanding space utilization and client behavior. It does not physically pinpoint devices or handle routing.

11. Question 11

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    Which action is typically performed using the Mist dashboard?

    1. Viewing network health, configuring policies, and monitoring alerts

    2. Physically replacing failed hardware in data centers

    3. Conducting penetration tests against external networks

    4. Writing low-level firmware for access points

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    • Viewing network health, configuring policies, and monitoring alerts

    The Mist dashboard is the central interface for managing configurations, reviewing network health, and responding to alerts. Physical hardware tasks and security testing are outside its scope.

12. Question 12

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    What does client profiling in Mist AI enable?

    1. Identification of client device types, operating systems, and usage patterns

    2. Automatic firmware updates for all connected devices

    3. Direct access to cloud storage for end users

    4. Replacement of network authentication protocols

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    • Identification of client device types, operating systems, and usage patterns

    Client profiling helps identify device types and usage behaviors, which supports troubleshooting and policy decisions. It does not perform updates or replace authentication mechanisms.

13. Question 13

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    Which best practice aligns with secure Mist system deployment?

    1. Use strong authentication and role-based access control

    2. Disable all logging to reduce cloud storage usage

    3. Allow open access to the Mist dashboard from any network

    4. Configure access points with default credentials for simplicity

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    • Use strong authentication and role-based access control

    Implementing strong authentication and role-based access control helps protect the Mist system and data. The other options introduce significant security risks.

14. Question 14

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    What does a radio health report in Mist AI provide?

    1. Performance metrics for individual radios, such as noise and channel utilization

    2. Historical weather conditions affecting the site

    3. User training recommendations for network staff

    4. Financial usage summaries for cloud services

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    • Performance metrics for individual radios, such as noise and channel utilization

    Radio health reports offer insights into wireless radio performance, including noise levels and channel usage, aiding in optimization and troubleshooting. Other options are unrelated to radio metrics.

15. Question 15

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    What is a key benefit of using Mist AI for network operations?

    1. Reduced need for manual configuration and troubleshooting

    2. Increased dependency on on-premises servers

    3. Higher latency for wireless clients

    4. Limited visibility into application performance

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    • Reduced need for manual configuration and troubleshooting

    Mist AI automates many network operations, reducing manual effort and improving efficiency.