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Cisco 350-101 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Wireless Network Operation: Covers initial configuration of Cisco wireless infrastructure, AP discovery and join processes, AP modes, WLAN setup, and client management policies across platforms like Catalyst Center, ISE, and Spaces.
Topic 2
  • Wireless Monitoring and Management: Covers network maintenance tasks, client monitoring configuration, troubleshooting client connectivity issues, and integrating with external devices and platforms.
Topic 3
  • Automation and AI: Covers Python scripting basics, NETCONF
  • YANG, wireless API interpretation, and AI-driven analytics, operations, and radio resource management within Catalyst Center.
Topic 4
  • 802.11 Technology Fundamentals: Covers Wi-Fi governance bodies, regional channel and power regulations, and the core technical principles of 802.11 including modulation, channel width, MIMO, topologies, and frame types.

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Cisco Implementing and Operating Cisco Wireless Core Technologies Sample Questions (Q71-Q76):

NEW QUESTION # 71
A wireless engineer must manage scheduled maintenance for a guest WLAN that uses Cisco Catalyst Center as the primary monitoring solution. The engineer must coordinate downtime and verify that all services resume as intended after planned tasks are complete. How does viewing trend deviation in Cisco Catalyst Center AI Analytics benefit wireless operation?

Answer: B

Explanation:
Cisco Catalyst Center AI Analytics provides predictive and proactive insights into wireless network behavior. Viewing trend deviation allows network administrators to identify abnormal patterns or shifts in network performance compared to historical baselines. This capability enables earlier detection of potential issues such as unusual client disconnections, spikes in interference, or unexpected throughput degradation. By monitoring deviations, administrators can proactively troubleshoot and resolve problems before they impact user experience.


NEW QUESTION # 72
Refer to the exhibit. The Catalyst 9800 WLC logs show when a client with MAC address
9C:4E:36:8A:2B:F1 fails to connect to a WLAN configured for Wi-Fi Protected Access 3- Enterprise with 802.1X. Which action must the engineer take to resolve the issue?

Answer: D

Explanation:
The log is a Layer 2 802.1X authentication failure, not an AP join or WLAN encryption mismatch.
In WPA3-Enterprise, the client authenticates with 802.1X/EAP through the configured AAA path.
Cisco's Catalyst 9800 WPA3 Enterprise configuration requires the necessary RADIUS or AAA servers and authentication lists before enabling WPA3 Enterprise, and the WLAN must reference the dot1x authentication list. Therefore, a Cred Fail reason points directly at the user/device credential validation path: the supplicant credentials, Active Directory identity source, RADIUS policy match, or RADIUS reachability.
Cisco's 9800 802.1X configuration workflow also shows the controller defining a RADIUS server, adding it to a RADIUS group, creating a dot1x AAA authentication method list, and applying that list to the WLAN. It further recommends checking whether the RADIUS server is alive and using ISE RADIUS Live Logs to inspect authentication requests and results. Option A is wrong because the AP is not the supplicant in this WLAN client authentication event. Option B downgrades the security model and avoids 802.1X rather than fixing it. Option D addresses NAC behavior, not a credential authentication failure.


NEW QUESTION # 73

Refer to the exhibit. A network engineer must create a PSK WLAN that will be anchored to the DMZ. After this WLAN is created, users cannot connect to it. Based on the output from the RA trace, which action must the engineer take to resolve the issue?

Answer: D

Explanation:
The failure is occurring during WPA/WPA2 key management, not during mobility anchoring. The radioactive trace showsFailed to validate eapol mic. MIC mismatchfollowed byFailed to validate eapol key m2, which means the authenticator and supplicant derived different key material during the PSK handshake. Cisco's Catalyst 9800 client-connectivity troubleshooting maps this log pattern directly to a wrong password condition and lists the corrective actions as fixing the password on the endpoint or on the SSID/WLAN.
The11r MIC validation failedphrase does not automatically make 802.11r the root cause; it only shows that the failed MIC validation occurred while Fast Transition key logic was in use. Disabling 802.11r would be a workaround only for client capability or FT interoperability issues, but the trace points to PSK mismatch.
Removing the anchor WLC would break the intended DMZ anchoring design, and matching WLANs on foreign and anchor is required for anchor deployments, but it would not produce this EAPOL M2 MIC failure.
The correct remediation is to ensure the client-entered PSK matches the WLAN PSK. Reference topics: WPA
/WPA2-PSK authentication, EAPOL 4-way handshake, Catalyst 9800 radioactive trace analysis, and client connectivity troubleshooting.


NEW QUESTION # 74
Refer to the exhibit.
import requests
import json
API_ENDPOINT = "https://your-api-server.com/api/v1/devices/wireless"
AUTH_TOKEN = "YOUR_SECRET_API_TOKEN"
headers = {
"Accept": "application/json",
"Authorization": f"Bearer {AUTH_TOKEN}"
}
print("Fetching wireless inventory from the API...")
try:
response = requests.get(API_ENDPOINT, headers=headers, timeout=10)
response.raise_for_status()
wireless_inventory_list = response.json()
print("Successfully retrieved and parsed device data.\n")
print("--- Wireless Device Summary ---")
if isinstance(wireless_inventory_list, list) and wireless_inventory_list:
for device in wireless_inventory_list:
mac = device.get("macAddress", "N/A")
ip = device.get("ipAddress", "N/A")
print(f"Device Found - > MAC: {mac}, IP: {ip}")
else:
print("No wireless devices were found in the inventory.")
except requests.exceptions.RequestException as e:
print(f"Error during API request: {e}")
except json.JSONDecodeError:
print("Error: Failed to parse the response from the API. It is not valid JSON.") A Cisco engineer is analyzing how a dictionary interacts with key-value pairs in a Python script that processes device records collected from a wireless controller. The engineer reviews the construction of the script to interpret the sequence used for data extraction. Which element performs the interaction within the script?

Answer: A

Explanation:
The correct element is theget() method. In the script, each device object is treated as a Python dictionary created from parsed JSON API output. The lines device.get("macAddress", "N/A") and device.get ("ipAddress", "N/A") perform direct key-based lookup against the dictionary and return the associated value when the key exists. Python documentation defines dictionaries as key-value mappings and states that get() is used to avoid a KeyError by returning None or a specified default value when the key is absent.
This behavior is exactly what automation scripts need when consuming controller or wireless inventory APIs, because returned device records may not always contain every field. Cisco API inventory models commonly return structured device objects containing properties such as MAC address, model, network ID, product type, and wireless-related inventory attributes, which are then parsed by automation code. The pop operation would remove a dictionary key, not safely read it. The import function only loads modules such as requests and json.
The format expression only builds the printed output string. Reference topics:Automation and AI - Python scripting, REST API consumption, JSON parsing, and wireless inventory automation.


NEW QUESTION # 75
What is a benefit of network adaptability in terms of improved operational outcomes when using AI-RRM in Cisco Catalyst Center?

Answer: D

Explanation:
The correct answer is reduction of co-channel interference. AI-RRM in Cisco Catalyst Center is designed for RF optimization, not IP addressing, software scheduling, or user identity classification. Cisco describes AI-enhanced RRM as applying artificial intelligence and machine learning to optimize RF environments and automate/adapt RF parameter tuning for Cisco wireless networks. This is directly tied to operational RF outcomes such as improved channel planning, transmit power behavior, channel width decisions, and better spectrum utilization.
Co-channel interference occurs when multiple AP radios operate on the same channel within hearing range, forcing devices to share airtime and increasing contention. AI-RRM uses telemetry, analytics, and learned RF behavior to recommend or apply more optimal RF configurations. Cisco specifically states that AI-enhanced RRM optimization can produce improvements such as up to a 40 percent reduction in co-channel interference and SNR gains for wireless clients. Cisco's AI-RRM deployment guidance also identifies AP radio distribution and utilization analysis as critical for minimizing co-channel interference and optimizing wireless performance.
Therefore, option B is the only operational outcome aligned with AI-RRM's purpose.


NEW QUESTION # 76
......

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