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Juniper NetworksCertified Associate, Mist AI

Domain 6Objective 1

Juniper Mist vBLE Concepts (Asset Visibility, vBLE Engagement) JN0-253 Practice Questions (Page 1)

Part of the Location-Based Services domain, which makes up ~5% of our current practice bank. Juniper Networks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~2–3 in this domain), expect 2–3 from this objective — we provide 36 practice questions to prepare you well beyond it. (estimate)

36questions here
8free pages
10concepts

Questions 1–5

  1. 1expert · hard

    A large retail warehouse has a mix of BLE tags: some are new and some are older models. The administrator has onboarded all tags and assigned them to assets. The location accuracy for the older tags is significantly worse than for the new tags, even though they are in the same environment. What is the most likely cause of this difference?

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  2. 2application · easy

    A hospital is using Mist vBLE to track wheelchairs. The administrator has onboarded the tags and assigned them to the wheelchairs. The staff want to quickly find a wheelchair on a specific floor. What is the most efficient way for the staff to locate a wheelchair using the Mist dashboard?

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  3. 3foundation · easy

    Which scenario is a common use case for asset visibility with Juniper Mist vBLE?

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  4. 4expert · hard

    A museum wants to use Mist vBLE for both asset tracking (protecting artifacts) and visitor engagement (providing audio guides). The artifacts are in glass cases, and the visitor path is narrow with many reflective surfaces. The administrator has completed the initial calibration. During testing, the asset tags are located accurately, but visitor engagement notifications are often triggered in the wrong gallery. What is the most effective way to improve the engagement accuracy without degrading the asset tracking?

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  5. 5foundation · easy

    Which capability is provided by Juniper Mist vBLE for asset visibility?

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