CWISA-103日本語版試験勉強法、CWISA-103関連資格知識

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CWNP CWISA-103 Exam Syllabus Topics:

SectionWeightObjectives
Implementing Wireless Solutions25%- Security and Integration
  • 1. RESTful APIs
  • 2. Automation and integration
  • 3. Encryption
  • 4. MQTT and WebSockets
  • 5. Monitoring and onboarding
  • 6. Authentication and authorization
- Deployment and Configuration
  • 1. Installation and staging
  • 2. Cloud connectivity
  • 3. Pilot testing and proof-of-concept
  • 4. Container-based applications
  • 5. Wireless and wired connectivity configuration
  • 6. Video, voice and telemetry features
Supporting Wireless Solutions25%- Programming and Architecture
  • 1. Single-tier and multi-tier architectures
  • 2. Database systems
  • 3. Python and JavaScript basics
  • 4. HTTP, HTTPS and MQTT
  • 5. JSON, XML, YAML and YANG
  • 6. IPv4 and IPv6
- Administration and Troubleshooting
  • 1. Firmware and driver issues
  • 2. Security misconfiguration
  • 3. Interference troubleshooting
  • 4. Performance monitoring
  • 5. Signal strength analysis
  • 6. Wireless solution administration
Radio Frequency Communications15%- RF Components and Technologies
  • 1. RF cabling and connectors
  • 2. Antennas
  • 3. Transmitters and receivers
  • 4. Point-to-point and mesh links
  • 5. EIRP and ERP
- RF Fundamentals
  • 1. Signal propagation
  • 2. Interference and attenuation
  • 3. RF measurements
  • 4. RF bands and frequencies
Planning Wireless Solutions20%- Wireless Solution Design
  • 1. LoRaWAN and Sigfox
  • 2. LAN and WAN networking requirements
  • 3. Location tracking technologies
  • 4. Wi-Fi HaLow
  • 5. 802.15.4 protocols
  • 6. Bluetooth and BLE
  • 7. Cloud and edge computing requirements
  • 8. Frequency coordination
  • 9. APIs and integration protocols
- Requirements and Constraints
  • 1. Use cases and applications
  • 2. Stakeholder identification
  • 3. Security and monitoring requirements
  • 4. Regulatory compliance
  • 5. Capacity planning
  • 6. Budget and technical constraints
Wireless Technologies15%- Wireless IoT Technologies and Applications
  • 1. ISA100.11a and WirelessHART
  • 2. Thread and 6LoWPAN
  • 3. Common wireless technologies and communication protocols
  • 4. Research and lab testing skills
  • 5. Sigfox
  • 6. Zigbee
  • 7. Bluetooth Low Energy (BLE)
  • 8. IoT and M2M communications
  • 9. LoRa and LoRaWAN
  • 10. Location services
- Industry Standards and Regulatory Organizations
  • 1. LoRa Alliance
  • 2. ITU
  • 3. 3GPP
  • 4. FCC, IC, CE and regulatory agencies
  • 5. IEEE
  • 6. Connectivity Standards Alliance
  • 7. Bluetooth SIG
  • 8. IETF
  • 9. Wi-Fi Alliance

>> CWISA-103日本語版試験勉強法 <<

CWISA-103関連資格知識 & CWISA-103復習範囲

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CWNP Certified Wireless IoT Solutions Administrator(2025 Edition) 認定 CWISA-103 試験問題 (Q79-Q84):

質問 # 79
Which of the following is a characteristic of 802.15.4 networks such as Zigbee?

正解:D

解説:
Zigbee supports mesh networking for extended coverage and reliability. It offers low throughput, typically operates at 2.4 GHz, and is not long-range.


質問 # 80
Which layer of the OSI model includes encryption protocols such as TLS used in IoT cloud communication?

正解:B

解説:
TLS typically runs over TCP at the Transport Layer (Layer 4), securing communication sessions between devices and cloud services.


質問 # 81
How does OFDMA differ from OFDM?

正解:B

解説:
* OFDM vs. OFDMA:
* OFDM (Orthogonal Frequency-Division Multiplexing): Divides a channel into multiple subcarriers for data transmission.
* OFDMA (Orthogonal Frequency-Division Multiple Access): Extends OFDM by allowing multiple users to share subcarriers simultaneously, improving efficiency and spectral utilization.
References
* OFDM: https://en.wikipedia.org/wiki/Orthogonal_frequency-division_multiplexing
* OFDMA: https://en.wikipedia.org/wiki/Orthogonal_frequency-division_multiple_access


質問 # 82
How does OFDMA differ from OFDM?

正解:B


質問 # 83
Which one of the following is NOT a typical Smart City application?

正解:D

解説:
Smart City Focus: Smart city initiatives mainly address infrastructure, environmental monitoring, and optimization of public services.
Ride-sharing Context: While self-driving technology could contribute to future smart city transportation, it's primarily a private-sector innovation, not a core municipal service like the other options.


質問 # 84
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