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| Certification Vendor: | Juniper Networks |
|---|---|
| Exam Name: | Mist AI, Associate (JNCIA-MistAI) Exam |
| Exam Number: | JN0-253 |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple choice, Scenario-based questions |
| Real Exam Qty: | 65 |
| Passing Score: | 65% - 70% |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Related Certifications: | Mist AI Wired, Specialist (JNCIS-MistAI-Wired) Mist AI Wireless, Specialist (JNCIS-MistAI-Wireless) Mist AI, Professional (JNCIP-MistAI) |
| Exam Price: | $200 USD |
| Recommended Training: | Juniper Mist AI Fundamentals |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Juniper JN0-253 Sample Questions |
| Exam Way: | Online remote proctored or onsite at authorized Pearson VUE test centers |
| Pre Condition: | No prerequisite exams or certifications required |
| Official Syllabus URL: | https://www.juniper.net/gb/en/training/certification/tracks/mist-ai/jncia-mistai.html |
>> JN0-253 Advanced Testing Engine <<
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NEW QUESTION # 97
Which two statements correctly describe the provisioning of greenfield and brownfield switches using the Mist UI? (Choose two.)
Answer: A,B
Explanation:
Greenfield switches: These are new switches that have not been previously configured or managed. They are typically provisioned using the "Claim Switches" button, as they need to be initially claimed and added to the Mist environment.
Brownfield switches: These are existing switches that have been configured and managed using a different system. They are typically provisioned using the "Adopt Switches" button, as they need to be adopted into the Mist environment while preserving their existing configuration.
NEW QUESTION # 98
How does Marvis detect a bad cable problem?
Answer: B
Explanation:
Marvis detects bad cable problems by analyzing interface statistics (such as errors, drops, or CRC issues) and identifying patterns that indicate cable faults, rather than actively testing or probing cables.
NEW QUESTION # 99
Which statement correctly describes the Juniper Mist Marvis Virtual Network Assistant (VNA)?
Answer: A
Explanation:
Marvis is the Virtual Network Assistant within Juniper Mist that leverages AI/ML and natural language processing, allowing administrators to type conversational queries (such as "why are clients failing to connect at Site X") and receive actionable insights and troubleshooting guidance derived from the underlying AI engine.
NEW QUESTION # 100
You are asked to create a real time visualization dashboard which displays clients on a map.
Which two Juniper Mist functions would you use in this scenario? (Choose two.)
Answer: B,D
Explanation:
WebSocket provides a real-time data stream, which is essential for continuously updating the dashboard.
Live View in Juniper Mist allows real-time visualization of clients on a map, making it the direct feature used for this requirement.
NEW QUESTION # 101
Which machine learning method uses unlabeled data sets?
Answer: D
Explanation:
InJuniper Mist AI, variousmachine learning (ML)techniques are applied across the platform to analyze network telemetry and improve performance insights. Among these,unsupervised learningplays a critical role in identifying patterns, trends, and anomalies in unlabeled datasets-data that has not been pre-classified or annotated.
According to theJuniper 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 learningrequires labeled training data.
* Reinforcement learninglearns through trial-and-error feedback loops.
* Cognitive learningis not a formal ML category-it refers to human-inspired reasoning.
Therefore, the correct answer isD. Unsupervised learning.
References:- Juniper Mist AI and Machine Learning Overview- Juniper Mist Cloud Architecture and AI Engine Guide- Juniper Mist Predictive Analytics and Correlation Engine (PACE) Documentation
NEW QUESTION # 102
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