Juniper JN0-251 Mist AI, Associate Exam JNCIA-MistAI Exam Practice Test

Answer : C

The Juniper Mist cloud delivers a modern microservices cloud architecture to meet your digital transformation goals for the AI-Driven Enterprise1.Machine learning is one of the key technologies that enables the cloud to automate key tasks and proactively address networking issues before they impact the quality-of-service levels2.Microservices are a way of designing software applications as a collection of independently deployable, small, modular services, each running a unique process and communicating through APIs3. This allows for faster and more scalable development, deployment, and maintenance of cloud services.

Answer : A

Referring to the exhibit, the Marvis language that you would use to query Mist about an issue isnatural language. Natural language is the language that humans use to communicate with each other, such as English, Spanish, or Hindi. Natural language is different from formal or programming languages, such as SQL, Python, or query language, which have strict rules and syntax.

Marvis is a virtual network assistant that allows you to interact with the Mist network using natural language commands. You can type or speak your queries to Marvis in plain English and get answers in a conversational manner. For example, you can ask Marvis questions like ''Why is my Wi-Fi slow?'' or ''How many devices are connected to AP1?'' or ''Show me the throughput of SSID2''. Marvis will understand your intent and provide relevant information, insights, and actions.

Marvis uses natural language processing (NLP) to analyze and interpret your queries. NLP is a branch of artificial intelligence that deals with the interaction between computers and human languages. NLP involves various tasks, such as speech recognition, natural language understanding (NLU), natural language generation (NLG), sentiment analysis, machine translation, etc.

Answer : C

According to the Cisco Content Hub1, Wi-Fi is half duplex, meaning we can either transmit (Tx) or receive (Rx) on the medium, the clients and the network take turns accessing the medium. Wi-Fi is contention based, meaning there are rules for stations trying to access the medium and collisions (due to two or more stations simultaneously accessing the medium) are worked out fairly so everyone gets a chance.

Answer : B

the Persistently Failing Clients report can be found inMarvis Actionsunder theOther Actionssection.This report shows clients that are continuously failing to connect due to a client specific issue2.You can also download the full list of your Persistently Failing clients in an organized .CSV file format1.

Answer : B

According to the web search results, the Mist Location Engine is a service that provides location-based services (LBS) for wireless networks, such as indoor positioning, wayfinding, or asset tracking1.The Mist Location Engine uses a patented dynamic BLE array that consists of 16 directional antennas that transmit BLE signals in eight different directions2.The user device, such as a smartphone or a tablet, can receive these signals and send the signal information, such as the RSSI and the device sensor data, back to the Mist Location Engine via Wi-Fi or cellular2.

The Mist Location Engine then processes the signal information and uses machine learning and probability surfaces to determine the location of the user device2.The location is expressed as an x,y coordinate on a floor plan map that represents the highest probability of where the user device is located2.The Mist Location Engine can also provide other information, such as the location accuracy, the location history, and the location events of the user device2.

Answer : A, B

According to the [Service Level Expectations] page, Service Level Expectations (SLEs) are a set of metrics that measure the quality and performance of the wireless network from the user's perspective. SLEs can help network administrators monitor, troubleshoot, and optimize their network by providing real-time and historical data and analytics. SLEs can also help network administrators identify and resolve issues before they impact the user experience.

There are seven SLEs that are supported by Mist: Successful Connects, Time to Connect, Capacity, Coverage, Throughput, Roaming, and WAN. Each SLE has a target value and a threshold value that can be customized according to the network requirements. The SLE score is calculated as the percentage of clients that meet or exceed the target value for each SLE.

Two SLEs that report DHCP problems are Successful Connects and Time to Connect. DHCP (Dynamic Host Configuration Protocol) is a protocol that assigns IP addresses and other network configuration parameters to devices on a network. DHCP problems can occur when a device fails to obtain an IP address from the DHCP server or when the DHCP server is slow or unreachable.

Successful Connects is an SLE that measures the percentage of clients that successfully connect to the wireless network within a specified time frame. Successful Connects can report DHCP problems by showing the number of clients that fail to connect due to DHCP errors, such as DHCP timeout, DHCP NAK, or DHCP decline. Successful Connects can also show the root cause analysis and recommended actions for resolving DHCP problems.

Time to Connect is an SLE that measures the average time it takes for a client to connect to the wireless network from the moment it sends a probe request to the moment it receives an IP address from the DHCP server. Time to Connect can report DHCP problems by showing the breakdown of the connection time into different stages, such as probe, auth, assoc, EAPOL, and DHCP. Time to Connect can also show the outliers and trends for each stage and identify if there are any delays or failures in the DHCP process.

Answer : A

The protocol that is used by Mist access points to discover third-party switches isLLDP. LLDP stands for Link Layer Discovery Protocol and is a vendor-neutral protocol that allows devices to advertise and discover information about their identity, capabilities, and neighbors on a local area network. LLDP operates on the data link layer (Layer 2) of the OSI model and uses multicast frames to exchange information.

Mist access points use LLDP to discover the switch name, model, firmware version, port number, VLAN ID, and PoE status of the connected third-party switches. This information is then sent to the Mist cloud, where it is processed and displayed in the Mist portal.You can view the switch details and topology in the Switches tab of the Mist portal1. You can also use the Marvis virtual network assistant to query the switch information using natural language commands.