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| Section | Weight | Objectives |
|---|---|---|
| WLAN Configuration | 15% | - Describe Access Category (AC) and QoS concepts - Configure band steering and client load balancing - Describe RRM and Radio Resource Management - Configure radio settings and RF profiles - Configure rate limiting and traffic shaping |
| Advanced Features and API | 0% | - Describe location services and features - Describe Mist API structure and capabilities - Describe Bluetooth Low Energy (BLE) and IoT integration - Describe webhook and third-party integrations |
| Troubleshooting and Analytics | 20% | - Describe client troubleshooting tools - Describe event and alarm management - Analyze wireless coverage and capacity - Troubleshoot connectivity issues using Mist portal - Troubleshoot wireless performance issues - Describe Marvis AI capabilities |
| Site Deployment | 20% | - Describe WLAN configuration - Perform AP assignment and configuration - Describe Virtual Network (VN) concepts - Describe AAA server concepts and configuration - Perform site creation and configuration - Describe SSID and security configuration - Describe the site deployment workflow |
| Mist AI and the Wired to Wireless Enterprise | 15% | - Describe the components of Mist AI for wireless - Describe the challenges of traditional wireless architectures - Describe the Mist cloud architecture and portal - Describe the benefits of AI-driven operations |
| Security and Authentication | 15% | - Configure 802.1X authentication - Describe RADIUS integration - Describe captive portal configuration - Describe BYOD and device onboarding - Describe wireless security concepts (WPA2/WPA3) |
| Access Points and Antennas | 15% | - Describe AP model families and capabilities - Describe AP deployment considerations - Describe AP power options (PoE, DC) - Describe AP mounting options - Describe antenna types and selection criteria |
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NEW QUESTION # 22
What does Mist's patented 16-element vBLE Antenna Array do when "engagement" is enabled?
Answer: B
Explanation:
Reference: https://www.mist.com/resources/ap61-access-point/
NEW QUESTION # 23
Which statement is true about passive scanning for access point (AP) discovery?
Answer: B
Explanation:
In 802.11 wireless networking and the Juniper Mist ecosystem, Passive Scanning is one of the two primary methods a client station (STA) uses to discover available wireless networks.4 In this mode, the client radio does not transmit any data to find an Access Point. Instead, it "waits and listens" on each supported channel for a specific period of time to hear Beacon Frames.5 Beacons are management frames sent periodically by an AP (typically every 100ms) to announce the presence and capabilities of a Basic Service Set (BSS).6 These frames contain critical information such as the SSID (Network Name), supported data rates, security protocols (RSN), and PHY requirements.7 Because the client only needs to keep its receiver active and does not have to power up its transmitter to send probe requests, passive scanning is significantly more power-efficient than active scanning, making it ideal for battery- constrained IoT devices.
However, the trade-off for this power efficiency is time. Since a client must stay on each channel long enough to guarantee it hears a beacon (at least one full beacon interval), scanning the entire 2.4 GHz, 5 GHz, and 6 GHz spectrum can take several seconds. In contrast, Active Scanning (options B, C, and D) involves the client sending Probe Requests (either wildcard/null or directed to a specific SSID) and waiting for a much shorter period for a Probe Response.8 From a Mist AI perspective, the dedicated scanning radio in Mist APs (like the AP43/AP45) performs its own version of passive and active scanning to build a complete map of the RF environment. This data is used by Marvis to detect "Neighbor" and "Honeypot" APs. While most modern mobile clients prefer active scanning to speed up the discovery and roaming process, passive scanning remains a fundamental requirement- especially on DFS channels where regulatory rules prohibit a client from transmitting until it has first
"listened" to confirm no radar is present.
NEW QUESTION # 24
Which signal modulation scheme provides the highest data rate level for 802.11ax devices?
Answer: B
Explanation:
In Juniper Networks Mist AI Wireless, understanding modulation schemes is essential for designing and operating high-performance Wi-Fi 6 (802.11ax) networks. Modulation directly affects how much data can be transmitted per symbol, and therefore determines the maximum achievable data rates under optimal RF conditions.
802.11ax introduces 1024-QAM (Quadrature Amplitude Modulation) as its highest supported modulation scheme. With 1024-QAM, each symbol encodes 10 bits of data, which represents a significant increase compared to earlier standards. For reference:
* 64-QAM (used in earlier standards) carries 6 bits per symbol
* 256-QAM (introduced in 802.11ac) carries 8 bits per symbol
* 1024-QAM increases this to 10 bits per symbol
This higher bit density allows Wi-Fi 6 devices to achieve higher peak throughput, especially in environments with excellent signal quality. However, 1024-QAM requires very high Signal-to-Noise Ratio (SNR) and low interference to function reliably. As a result, it is typically achieved only when clients are close to the access point and RF conditions are clean.
Mist AI Wireless continuously monitors client RSSI, SNR, retransmissions, and modulation rates through advanced telemetry. Using this data, Mist can determine whether clients are successfully operating at higher modulation levels like 1024-QAM or are falling back to lower schemes due to RF impairments. This insight directly feeds into SLEs and AI-driven recommendations for RF tuning, AP placement, and channel planning.
The incorrect options are explained as follows:
* 64-QAM and 256-QAM are valid modulation schemes but do not provide the highest data rates in
802.11ax.
* 4096-QAM is not supported by the 802.11ax standard and is therefore invalid.
Thus, 1024-QAM is the modulation scheme that provides the highest data rate level for 802.11ax devices.
NEW QUESTION # 25
Which pair of Wireless Assurance SLEs have a classifier on DHCP?
Answer: D
Explanation:
InJuniper Networks Mist AI Wireless, Service Level Expectations (SLEs) are used to measure and assure real user experience across the wireless network. Each SLE is built on specificclassifiers, which break down failures into root causes such as DHCP, DNS, authentication, RF conditions, or application issues.
Understanding which SLEs rely on DHCP classification is essential for accurate troubleshooting.
The two Wireless Assurance SLEs that include aDHCP classifierareSuccessful ConnectsandTime to Connect.
TheSuccessful Connects SLEmeasures whether client devices are able to complete the full connection process successfully. This process includes association, authentication, and critically,DHCP address assignment. If a client fails to obtain an IP address, the connection is considered unsuccessful, and the failure is explicitly classified as a DHCP issue within this SLE.
TheTime to Connect SLEmeasures how long it takes for a client to connect from the moment it initiates association until it is fully usable on the network. One of the key components of this timeline is theDHCP transaction time. Slow DHCP responses, retransmissions, or server delays directly increase the overall connection time, and Mist classifies these delays under DHCP within the Time to Connect SLE.
The other options are incorrect for the following reasons:
* Roaming SLEfocuses on re-association, authentication, and mobility events, not DHCP, since IP addressing is typically retained during roaming.
* Coverage SLEevaluates RF signal strength, SNR, and cell overlap, with no dependency on DHCP.
* Throughput SLEmeasures data transfer performance after connectivity is established and does not analyze DHCP behavior.
Therefore, the correct answer isSuccessful Connects and Time to Connect, as both SLEs directly depend on and classifyDHCP-related performance and failureswithin Mist Wireless Assurance.
NEW QUESTION # 26
You are viewing the "Successful Connects" Service Level Expectation (SLE) dashboard. Which metric is NOT part of the classifiers for this SLE?
Answer: D
NEW QUESTION # 27
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