Quiz 2025 JN0-251: Trustable New Mist AI, Associate (JNCIA-MistAI) Dumps
Quiz 2025 JN0-251: Trustable New Mist AI, Associate (JNCIA-MistAI) Dumps
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The JN0-251 exam is a 65-question, multiple-choice exam that can be taken at any Pearson VUE testing center worldwide. JN0-251 exam has a time limit of 90 minutes, and candidates must score at least 65% to pass. JN0-251 exam includes questions on various topics, including wireless access points, controllers, Junos OS fundamentals, and network automation using Juniper Mist AI technology. Passing the JN0-251 exam validates the candidate's understanding of Juniper Mist AI technology, and it can help professionals advance their careers in the networking field.
Juniper JN0-251: Mist AI, Associate (JNCIA-MistAI) is a certification exam that is ideal for network administrators, engineers, and architects who want to validate their expertise in Juniper's Mist AI technology. JN0-251 Exam covers essential topics such as Mist AI fundamentals, design considerations, deployment and management, and troubleshooting. Mist AI, Associate (JNCIA-MistAI) certification is an entry-level certification and can be a valuable asset to your career in the IT industry, leading to higher-paying job opportunities, job security, and career advancement.
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Juniper JN0-251 certification exam covers a wide range of topics, including Juniper Mist AI architecture, access point deployment, wireless LAN configuration, and troubleshooting. JN0-251 exam also tests the candidate's understanding of various network services such as authentication, security, and quality of service (QoS). Passing the JN0-251 Certification Exam demonstrates the candidate's proficiency in deploying and managing Juniper Mist AI wireless networks, making them a valuable asset to any organization that relies on wireless networking technology.
Juniper Mist AI, Associate (JNCIA-MistAI) Sample Questions (Q47-Q52):
NEW QUESTION # 47
Which two statements are correct about microservices? (Choose two.)
- A. A microservice can be added without system downtime.
- B. A microservice can be updated without system downtime.
- C. All microservices can be updated at the same time without downtime.
- D. Each microservice uses the same virtual hardware.
Answer: A,B
Explanation:
A microservice can be added without system downtime. This is because microservices are independent and loosely coupled components that communicate over well-defined APIs. Adding a new microservice does not affect the functioning of other existing microservices or the overall application. The new microservice can be deployed and integrated seamlessly with the rest of the system1.
A microservice can be updated without system downtime. This is because microservices allow each service to be developed, tested, and deployed independently of other services. Updating a microservice does not require changing or restarting the entire application. The updated microservice can be rolled out gradually or reverted easily if needed2.
NEW QUESTION # 48
Referring to the exhibit, what do you determine about the site's Time to Connect SLE metric?
- A. Successful connect averaged 1.6 seconds.
- B. All clients cannot connect to the Internet.
- C. Time to Connect Association DHCP failures impacted 80% of users.
- D. Eighty percent of the Time to Connect failures are related to DHCP failures
Answer: D
Explanation:
The correct answer is B. Eighty percent of the Time to Connect failures are related to DHCP failures. This is what you can determine about the site's Time to Connect SLE metric from the exhibit. The exhibit shows a root cause analysis chart that displays the Service Level Metrics and the Classifiers for the site. The Service Level Metrics section shows the percentage of time to connect, which is the time it takes for a client device to connect to the wireless network. The Classifiers section shows the percentage of authorization, association, internet services, and DHCP, which are the steps involved in the connection process. The blue line connects the two sections and shows the correlation between them.
The exhibit shows that the site has a Time to Connect SLE metric of 20%, which means that only 20% of the client devices were able to connect to the wireless network within the expected time. The exhibit also shows that 80% of the Time to Connect failures are related to DHCP failures, which means that 80% of the client devices were not able to obtain an IP address from the DHCP server. This indicates that there is a problem with the DHCP service or configuration at the site.
NEW QUESTION # 49
Which Mist location-based feature would be used for wayfinding?
- A. Wi-Fi 6
- B. vBLE Engagement
- C. Asset Visibility
- D. Wi-Fi Location
Answer: B
Explanation:
The Mist location-based feature that would be used for wayfinding is the vBLE Engagement. This feature leverages the directional virtual Bluetooth Low Energy (vBLE) arrays in the Mist Access Points to provide accurate and scalable indoor location services. The vBLE Engagement feature enables use cases such as wayfinding, proximity notifications, asset tracking, and analytics.
Wayfinding is the ability to guide users to their desired destination within an indoor environment, such as a mall, airport, hospital, or campus. Wayfinding requires a mobile app that integrates the Mist SDK and a floor plan that defines the wayfinding paths. The app can show the user's current location as a blue dot on the map and provide turn-by-turn navigation instructions based on the user's destination.
NEW QUESTION # 50
In a Mist deployment, the Radio Resource Management feature is an example of which type of machine learning?
- A. unsupervised learning
- B. supervised learning
- C. visual learning
- D. reinforcement learning
Answer: D
Explanation:
In a Mist deployment, the Radio Resource Management (RRM) feature is an example of reinforcement learning. Reinforcement learning is a type of machine learning that works on the principle that an agent takes an action which is either penalized or rewarded based on the result in order to reinforce the optimal behavior1.
RRM is a feature that optimizes the wireless network performance and user experience by dynamically adjusting the radio frequency (RF) settings, such as channel, bandwidth, and power, of the access points (APs) based on the changing environmental conditions, such as interference, traffic, or user density2. RRM uses reinforcement learning to learn from the feedback and data collected by the APs and the Mist cloud and to make decisions that improve the network quality of service (QoS) and service level expectations (SLEs)3.
NEW QUESTION # 51
What happens when Mist subscriptions expire?
- A. Devices retain their configurations for 90 days; if the subscriptions are not renewed, the configuration is deleted and the devices are reset to factory default.
- B. Devices retain their configurations but Mist management GUI functionality related to expired subscriptions are not configurable by the user.
- C. Devices retain their configurations and all Mist management GUI functionality remains available to the user.
- D. Devices retain their configurations but the Mist user is prevented from accessing the Mist management GUI.
Answer: B
NEW QUESTION # 52
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