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| Certification Vendor: | Juniper Networks |
|---|---|
| Exam Name: | Juniper Networks Certified Associate - Mist AI (JNCIA-MistAI) JN0-253 |
| Exam Number: | JN0-253 |
| Exam Format: | Multiple-choice, Scenarios-based questions |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Related Certifications: | JNCIA-Junos JNCIS-ENT |
| Exam Price: | $200 USD |
| Recommended Training: | Juniper Mist AI Official Training Juniper Networks Training & Certification |
| Exam Registration: | Pearson VUE Juniper Exams Juniper Certification Portal |
| Sample Questions: | Juniper JN0-253 Sample Questions |
| Exam Way: | Online proctored or test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required; basic networking knowledge recommended |
| Official Syllabus URL: | https://www.juniper.net/us/en/training/certification/certification-tracks/mist-ai.html |
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NEW QUESTION # 104
Which two statements are correct about Juniper Mist's use of machine learning for Anomaly Detection? (Choose two.)
Answer: A,C
Explanation:
Juniper Mist's Anomaly Detection uses machine learning to establish a baseline of normal network behavior over time and then automatically flags deviations from that baseline, such as unusual spikes or drops in client counts or throughput, without requiring administrators to manually configure static thresholds for every metric.
NEW QUESTION # 105
Which statement is correct about Service Level Expectations (SLEs) in Juniper Mist?
Answer: D
Explanation:
Service Level Expectations (SLEs) in Juniper Mist are AI-driven metrics that quantify the end-user network experience across dimensions such as Time to Connect, Successful Connects, Throughput, Roaming, and Coverage. Each SLE can be broken down into classifiers and sub- classifiers to help pinpoint the root cause of any degradation.
NEW QUESTION # 106
In the context of Juniper Mist, which two statements describe a bad user minute? (Choose two.)
Answer: C,D
Explanation:
A bad user minute normalizes a user's negative network experience into a measurable metric.
It is calculated as the number of affected users multiplied by the number of minutes they are affected, giving a quantifiable measure of user impact.
NEW QUESTION # 107
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: A,C
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 # 108
In the context of Juniper Mist, which two statements describe a bad user minute? (Choose two.)
Answer: C,D
Explanation:
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.
References:- Juniper Mist AI Operations and Analytics Guide- Juniper Mist Wireless Assurance and SLE Overview- Juniper Mist AI Insight Metrics and KPI Definitions
NEW QUESTION # 109
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