Exam JN0-252 topic 1 question 8 discussion

A: Because: Juniper Mist determines indoor client location using a technique called "Probability Surfaces" rather than traditional triangulation. This method leverages data from Access Points (APs) to create a probabilistic model of where clients are likely to be based on their signal strengths. The Mist SDK on a device listens for directional beams from the APs and sends the RSSI data to the Mist Cloud. The cloud then uses this data to build probability surfaces, effectively creating a map where each point on the map has a probability of being the client's location.

C. Trilateration Explanation: Mist AI determines the location of clients in an indoor environment using trilateration, a method that calculates the position of a device based on its distance from multiple access points (APs). This technique is more accurate than triangulation for indoor environments and is widely used in Wi-Fi and Bluetooth-based location services. In Mist's AI-driven Real-Time Location Services (RTLS), access points measure the Received Signal Strength Indicator (RSSI) and Time of Flight (ToF) of signals from client devices. These distance measurements from multiple APs are then used to compute the device's location using trilateration algorithms.

Correction: Probability Surfaces Previous answer was for using WiFi while this is most likely referring to the indoor location service using bluetooth. https://www.juniper.net/documentation/us/en/software/mist/location-services/topics/concept/mist-loc-svcs-overview.html

B. triangulation there is no such thing as probability surface

B. triangulation