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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: RF Fundamentals | 15% | - RF characteristics
|
| Topic 2: Wireless Monitoring and Management | 25% | - Monitoring and troubleshooting
|
| Topic 3: Automation and AI | 10% | - Automation technologies
|
| Topic 4: 802.11 Technology Fundamentals | 20% | - Wireless standards and operations
|
| Topic 5: Wireless Client Connectivity | 30% | - Client access and security
|
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NEW QUESTION # 111
A retail store is setting up guest Wi-Fi on a Cisco 9800 WLC. The IT team has these requirements:
When a guests associates, they are prompted for web authentication.
After login, traffic is restricted to internet-only access.
Guest WLAN must be available throughout all sales floors.
Guest WLAN must not impact the existing corporate WLAN.
Guest SSID must not require a password.
Which set of configurations must the IT team deploy to meet the requirements?
Answer: B
Explanation:
For a retail guest WLAN deployment, Cisco best practices dictate using central web authentication (web-auth) combined with access control lists (ACLs) to enforce network segmentation and restrict guest traffic to internet-only access. Central web authentication allows all guest devices to be redirected to a captive portal for login without requiring a pre-shared key or WPA2-Enterprise credentials, satisfying the "no password" requirement. Applying an ACL that blocks access to internal subnets ensures that guest traffic cannot interfere with corporate networks while still permitting internet connectivity. Option A is unsuitable because WPA2- Enterprise and dynamic VLAN assignment are designed for employee or secure networks, not open guest access. Option B provides local web-auth, which is limited to a single WLC and does not scale across multiple floors effectively. Option D (MAC filtering) only enforces device-level access but does not provide web-based login or segmentation, failing the requirement for captive portal and internet-only access. Cisco Wireless Core Technologies recommend central web authentication with ACL enforcement for guest networks to provide consistent coverage, network isolation, and compliance with security policies across multiple APs and WLCs. Reference topics:Client Connectivity Configuration - Guest WLAN deployment, central web-auth, ACL enforcement, segmentation from corporate WLAN.
NEW QUESTION # 112
Which role does a fabric edge node perform in a Cisco wireless fabric architecture?
Answer: D
NEW QUESTION # 113
What happens when a radio wave bends around objects?
Answer: B
Explanation:
When a radio wave bends around an obstacle in its path, this phenomenon is called diffraction.
Diffraction allows the RF signal to reach areas that are not in the direct line of sight of the transmitter, such as behind walls, corners, or other obstructions. The amount of bending depends on the wavelength of the signal relative to the size of the obstacle--longer wavelengths (lower frequencies) diffract more effectively than shorter wavelengths.
NEW QUESTION # 114
Refer to the exhibit.
import requests
import json
API_ENDPOINT_URL = "https://your-network-platform.com/api/v1/wireless-
clients"
AUTH_TOKEN = "YOUR_SECRET_AUTH_TOKEN"
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {AUTH_TOKEN}"
}
print("Requesting wireless client data from the API...")
try:
response = requests.get(API_ENDPOINT_URL, headers=headers, timeout=10)
response.raise_for_status()
client_data = response.json()
print("Successfully retrieved and parsed data.\n")
print("--- Wireless Client Details ---")
if isinstance(client_data, list) and client_data:
for client in client_data:
mac_address = client.get("macAddress", "N/A")
ip_address = client.get("ipAddress", "N/A")
ssid = client.get("ssid", "N/A")
print(f"Client MAC: {mac_address}, IP: {ip_address}, SSID: {ssid}")
else:
print("No client data found or the data format is unexpected.")
except requests.exceptions.RequestException as e:
print(f"An error occurred during the API request: {e}")
except json.JSONDecodeError:
print("Failed to parse the API response. It may not be valid JSON.")
A network engineer is investigating how json library is used within a Python script designed to access response content from a Cisco wireless network API endpoint. The engineer wants to better understand how the script uses these elements to process device information. Which approach does the script use to achieve its data extraction goal?
Answer: B
Explanation:
The correct answer is loads function because the script's extraction goal depends on deserializing JSON response data into native Python objects that can be indexed and queried.
Cisco Catalyst Center APIs use REST methods and require payloads to and from the REST interface to be in JSON format, including wireless and client information workflows. In the exhibit, the call client_data = response.json() decodes the HTTP response body into Python data structures. That behavior is functionally aligned with json.loads(): JSON objects become Python dictionaries, JSON arrays become Python lists, and strings/numbers become Python-native equivalents. Python's JSON decoder documentation shows this JSON-to-Python conversion model explicitly, including object-to-dict and array-to-list mappings.
After decoding, the script validates that client_data is a list, iterates through each client record, and uses dictionary .get() to extract macAddress, ipAddress, and ssid. The Requests library documents that Response.json() decodes a JSON response body as a Python object and may return a dictionary or list, which is exactly what the script consumes. dumps performs the opposite operation, split only tokenizes strings, and to_dict is not used here.
NEW QUESTION # 115
How does viewing trend deviation in Cisco Catalyst Center AI Analytics benefit wireless operation?
Answer: D
Explanation:
The correct answer isCbecause trend deviation in Cisco Catalyst Center AI Analytics is designed to identify behavior that differs from expected network baselines. Cisco AI Network Analytics uses machine learning to establish baselines that are specific to the network and site, then compares live operational telemetry against those learned expectations. Cisco states that AI-driven issues are triggered based on deviations from the predicted baseline for the specific network environment.
For wireless operations, this is valuable because deviations in onboarding, association, DHCP, AAA, radio throughput, AP performance, client experience, retries, SNR, or similar KPIs can surface before they become broad user-impacting incidents. Cisco also describes Trend Deviations as a Trends and Insights function that determines global patterns and deviations to provide system-generated insights. This gives operations teams earlier awareness of abnormal wireless behavior and allows proactive investigation rather than waiting for help-desk tickets or hard threshold alarms.
The other options are unrelated. Time synchronization is handled by NTP, threshold export is not the core function of trend deviation, and log backup is a separate operational process. Reference topic:Wireless Monitoring and Management - Catalyst Center Assurance, AI Network Analytics, trend deviation, anomaly detection, wireless baselining, and proactive operations.
NEW QUESTION # 116
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