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| Section | Weight | Objectives |
|---|---|---|
| Site Deployment | 20% | - Describe the site deployment workflow - Describe Virtual Network (VN) concepts - Describe WLAN configuration - Describe AAA server concepts and configuration - Perform site creation and configuration - Describe SSID and security configuration - Perform AP assignment and configuration |
| Troubleshooting and Analytics | 20% | - Analyze wireless coverage and capacity - Describe event and alarm management - Troubleshoot connectivity issues using Mist portal - Describe Marvis AI capabilities - Describe client troubleshooting tools - Troubleshoot wireless performance issues |
| Security and Authentication | 15% | - Describe RADIUS integration - Describe BYOD and device onboarding - Configure 802.1X authentication - Describe captive portal configuration - Describe wireless security concepts (WPA2/WPA3) |
| Access Points and Antennas | 15% | - Describe AP power options (PoE, DC) - Describe AP deployment considerations - Describe AP model families and capabilities - Describe AP mounting options - Describe antenna types and selection criteria |
| Advanced Features and API | 0% | - Describe location services and features - Describe webhook and third-party integrations - Describe Bluetooth Low Energy (BLE) and IoT integration - Describe Mist API structure and capabilities |
| 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 benefits of AI-driven operations - Describe the Mist cloud architecture and portal |
| WLAN Configuration | 15% | - Describe Access Category (AC) and QoS concepts - Configure radio settings and RF profiles - Describe RRM and Radio Resource Management - Configure band steering and client load balancing - Configure rate limiting and traffic shaping |
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NEW QUESTION # 24
Which two statements are correct about the radio frequency rule of 10s and 3s? (Choose two.)
Answer: A,C
Explanation:
Text Description automatically generated with low confidence
NEW QUESTION # 25
Which 802.11 amendment, also known as Wi-Fi 6, introduced Orthogonal Frequency-Division Multiple Access (OFDMA) to improve efficiency in high-density environments?
Answer: D
NEW QUESTION # 26
Which statement is true about how RF Templates, Device Profiles, and individual AP settings are applied?
Answer: C
NEW QUESTION # 27
An administrator is designing a large-scale wireless deployment across hundreds of retail stores.
Each store has an identical set of AP models and requires the same WLANs, security policies, and radio settings. The goal is to automate the initial deployment and simplify ongoing management, ensuring that a single change to the corporate security policy can be pushed to all stores simultaneously. Which combination of Mist objects should be used to create the most scalable and maintainable configuration? (Select all that apply.)
Answer: A,D,E,F
NEW QUESTION # 28
Administrators need to gather information regarding client dwell time and how clients move through a location. In this scenario, which real-time location service provides this capability?
Answer: A
Explanation:
In the Juniper Mist AI ecosystem, Zone Analytics is the specific real-time location service component designed to provide deep business intelligence regarding how users and devices interact with a physical space.
While the Mist platform offers various location services-such as Wayfinding for turn-by-turn navigation and Asset Tracking for locating specific tagged equipment-Zone Analytics focuses on the aggregate behavior of clients within defined boundaries on a floor plan.
Zone Analytics allows administrators to define virtual areas, known as zones, on their facility maps. The Mist Location Engine then uses its patented virtual Bluetooth Low Energy (vBLE) antenna array and machine learning algorithms to track the presence of mobile devices (via the Mist SDK) and Wi-Fi clients within these zones. This service calculates two primary metrics required by the scenario:
* Dwell Time: This measures the duration a specific client remains within a defined zone. Administrators can set minimum and maximum dwell thresholds to categorize visitors (e.g., "passersby" vs. "engaged customers").
* Movement Patterns: By analyzing transitions between different zones, the service generates "motion flows" or "visitor journey" maps. This helps organizations identify common paths taken through a building, popular entry/exit points, and areas of high congestion.
These insights are typically presented through the Engagement Analytics or Premium Analytics dashboards. For example, a retailer might use Zone Analytics to determine if a new product display is successfully increasing the "dwell time" of shoppers in a specific aisle, or an office manager might use it to optimize "workflow" by seeing how employees move between different departments. By leveraging these real- time data sets, businesses can make informed decisions about staffing, floor layouts, and resource allocation based on actual user behavior patterns.
NEW QUESTION # 29
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