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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Implementing and Operating Cisco Wireless Core Technologies |
| Exam Number: | 350-101 WLCOR |
| Exam Duration: | 120 minutes |
| Exam Price: | $400 USD |
| Certificate Validity Period: | 3 years |
| Related Certifications: | Cisco Certified Specialist - Wireless Core Cisco Certified Internetwork Expert (CCIE) Wireless Cisco Certified Network Professional (CCNP) Wireless |
| Passing Score: | Pass/Fail |
| Available Languages: | Japanese, English |
| Exam Format: | Multiple Response, Drag and Drop, Simulation, Multiple Choice |
| Real Exam Qty: | 90-110 |
| Sample Questions: | Cisco 350-101 Sample Questions |
| Exam Way: | Online or Pearson VUE test center |
| Pre Condition: | No formal prerequisites. Candidates are recommended to have 3-5 years of experience implementing enterprise wireless networks. |
| Official Syllabus URL: | https://www.cisco.com/site/us/en/learn/training-certifications/exams/wlcor.html |
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NEW QUESTION # 86
Which solution enables a seamless user experience when roaming in a wireless network?
Answer: C
Explanation:
Fast transition is the correct solution because it refers to IEEE 802.11r Fast BSS Transition, which reduces the authentication delay when a wireless client roams from one AP to another. Cisco describes 802.11r Fast Transition as a feature for seamless wireless roaming and states that, after configuration, the WLAN supports faster client roaming between access points. Cisco's Catalyst 9800 roaming documentation also identifies
802.11r as the mechanism focused on seamless transition between APs, while 802.11k and 802.11v assist with neighbor reporting and network-assisted roaming decisions.
The core advantage is that key negotiation and authentication preparation occur before or during the roam, reducing the interruption experienced by latency-sensitive applications such as voice, video, collaboration tools, and real-time enterprise applications. Static VLAN policy only controls segmentation and does not accelerate roaming. Optimized roaming can help discourage sticky clients from remaining associated to poor- quality APs, but it is not the primary fast-roam authentication mechanism. A redundant RF profile is not an
802.11 roaming solution. Reference topics:802.11r Fast BSS Transition, client roaming, WLAN mobility behavior, Catalyst 9800 WLAN security, and seamless roaming design.
NEW QUESTION # 87
Which Cisco technology leverages machine learning methods and a cloud learning platform that helps to identify critical issues?
Answer: A
Explanation:
The correct Cisco technology is AI Network Analytics. Cisco describes Cisco AI Network Analytics as a Catalyst Center capability that uses machine learning and machine reasoning to generate deployment-specific insights, identify operational issues, and accelerate troubleshooting. Cisco's official Catalyst Center Assurance documentation states that Cisco AI Network Analytics uses advanced machine learning techniques and an advanced cloud learning platform with deidentified network event data to identify critical issues in the network.
This makes option D the only precise match. Catalyst Center Assurance is the broader assurance and monitoring framework where AI Network Analytics is surfaced, but it is not the specific technology named in the question. Network Services is a generic platform function area, not the AI/ML analytics feature. Catalyst Center LLM Insights is not the established Cisco wireless assurance feature associated with cloud-based machine learning for issue detection. AI Network Analytics provides AI- driven baselining, anomaly detection, root-cause assistance, trends, insights, and comparative benchmarking. Cisco also documents that the AI Network Analytics cloud runs machine learning models using deidentified network event data and returns issues and insights back into Catalyst Center.
NEW QUESTION # 88
What is the main benefit of using AI Enhanced RRM on the Cisco Catalyst 9800 wireless controller?
Answer: C
Explanation:
AI Enhanced RRM is not a static-threshold tuning feature and it is not designed to simply raise AP transmit power. Cisco defines AI Enhanced RRM as a radio resource management technology that applies artificial intelligence and machine learning to optimize RF environments, uses distributed data collection from Cisco wireless controllers with cloud-based analytics, and automates adaptive RF parameter tuning for Cisco wireless networks.
The operational model is telemetry-driven. RF telemetry is collected from APs by the Catalyst 9800 WLC, sent through Cisco Catalyst Center to the Cisco AI Analytics Cloud, analyzed by RRM algorithms, and then configuration-change information is returned through Catalyst Center toward the managed wireless infrastructure. Cisco's AI-Enhanced RRM deployment guide further identifies DCA, TPC, FRA, and DBS as examples of optimizations performed, meaning the feature enhances dynamic RF control rather than disabling it.
Therefore, option D is the only correct answer. Options A, B, and C describe either legacy/static behavior, harmful power-only logic, or a fixed RF design model that contradicts Cisco AI Enhanced RRM. Reference topics:Automation and AI - AI/ML-driven RF optimization, Catalyst Center assurance, RRM telemetry, DCA, TPC, FRA, and DBS.
NEW QUESTION # 89
A managed service is rolling out advanced wireless infrastructure to support an expanding organization with diverse device types. The implementation requires integration of dynamic endpoint profiling for secure access and device classification. According to the baseline deployment with ISE policy sets, the engineering group must enforce access parameters based on device category rules. Which configuration action must be taken to fulfill the initiative?
Answer: B
Explanation:
Dynamic endpoint profiling in Cisco wireless networks is used to classify devices based on type, behavior, and attributes, enabling policy enforcement that adapts to device posture. In a deployment integrated with Cisco ISE, profiling groups are created to define rules and categories for device types such as smartphones, laptops, printers, and IoT devices. These profiling groups allow the wireless controller to map devices to the correct ISE policy sets dynamically, ensuring that security policies, VLAN assignments, and access controls are applied according to the device profile.
NEW QUESTION # 90
Which hierarchy in a YANG data modeling approach describes a relationship in the context of NETCONF device configuration?
Answer: A
Explanation:
YANG represents network configuration and operational state as a hierarchical data model. In Cisco model- driven programmability, YANG is used with NETCONF to model configuration and state data so that client applications can programmatically retrieve, edit, and manage device configuration. Cisco states that YANG is used with NETCONF for automated and programmable network operations, and that YANG primarily models the configuration and state data used by NETCONF operations.
The correct hierarchy is thetree and leaf-based structure. Cisco's YANG model structure description defines it as a hierarchical framework that organizes data into a tree with top-level nodes and nested child nodes, and groups related data through containers, lists, and leaves. In this model, containers and lists create structure, while leaf nodes hold actual values such as interface names, VLAN IDs, descriptions, IP addresses, or policy parameters. Option B describes a relationship inside the hierarchy, but it is not the full YANG modeling hierarchy. Options A and C are not valid YANG/NETCONF structural models. Reference topics:Automation and AI - model-driven programmability, NETCONF, YANG data models, configuration/state data, and Cisco IOS XE programmability.
NEW QUESTION # 91
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