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CertNexus ITP-110 - Certified Internet of Things Practitioner

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ITP-110 Braindumps VCE
  • Exam Code: ITP-110
  • Exam Name: Certified Internet of Things Practitioner

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CertNexus ITP-110 Exam Syllabus Topics:

SectionWeightObjectives
Security, Privacy, and Safety28%- Common IoT Safety Concerns
  • 1. Biological and Medical Risks
    • Water supply contamination
    • Failure or hacking of diagnostic and treatment devices
  • 2. Supply Chain Disruption
    • Food supply contamination
    • Counterfeit or substandard components
    • Logistics interruption
  • 3. Infrastructure Outages
    • Mass power outages
    • Mass Internet outages
  • 4. Physical Accidents and Loss of Life
    • Autonomous vehicle and aircraft accidents
    • Transportation and workplace accidents
    • Industrial disasters
- Common IoT Security and Privacy Threats
  • 1. Other Security Threats
    • Privilege escalation
    • Fuzzing
    • Cross-site scripting
    • Code injection and SQL injection
    • Buffer overflow
  • 2. Malware
    • Trojan horses and backdoors
    • Keyloggers and ransomware
    • Spyware, worms, and viruses
  • 3. Social Engineering
    • Phishing and spearphishing
    • Shoulder surfing and dumpster diving
    • Impersonation
  • 4. Password Attacks
    • Password cracking
    • Password sniffing
  • 5. Network Attacks
    • Denial-of-service and distributed denial-of-service attacks
    • Botnets and man-in-the-middle attacks
    • Wireless attacks and spoofing
    • Pharming
- IoT Security and Privacy Countermeasures
  • 1. Data Anonymization
    • 2. Firmware and Software Security
      • Secure firmware updates
      • Operating system hardening
      • Secure coding
      • Code review and scanning
      • Application security
    • 3. Vulnerability Assessment and Penetration Testing
      • 4. Physical Security
        • 5. Authentication, Authorization, and Accounting
          • 6. Confidentiality, Integrity, and Availability
            • Confidentiality and data encryption
            • Integrity, blockchain, and nonrepudiation
            • Availability, DoS/DDoS defense, and high availability
          - Safety Risk Management Approaches
          • 1. Root cause analysis
            • 2. Quality management systems
              • 3. Corrective and preventive action
                • 4. Safety certification
                  • 5. Hazard classification and analysis
                    IoT Ecosystems46%- Physical and Edge/Fog Computing Elements
                    • 1. Input and Output
                      • Analog-to-digital converters
                      • Digital-to-analog converters
                      • Input/output modules
                    • 2. Hardware Platforms
                      • Arduino, Raspberry Pi, and BeagleBone
                      • ARM and x86 processors
                    • 3. Power Sources
                      • Backup generators and alternators
                      • Batteries and renewable energy sources
                      • Power grid
                    • 4. Edge and Fog Computing Capabilities
                      • Application and real-time processing
                      • Human-machine interfaces and monitoring
                      • Storage and device management
                      • Safety, security, analytics, and artificial intelligence
                    • 5. Actuators
                      • Solenoids, motors, and servos
                      • Relays, switches, and stepper motors
                    • 6. Sensors
                      • Position, proximity, and motion sensors
                      • Sound, temperature, humidity, and pressure sensors
                      • Accelerometers, gyroscopes, and magnetometers
                      • Infrared sensors and cameras
                      • Voltage, current, ambient light, radiation, and chemical sensors
                    • 7. Programming Languages and Frameworks
                      • Java, Python, C/C++, Swift, Rust, Go, Assembly, JavaScript, and C#
                      • Node.js, .NET, and Angular
                    • 8. Computing Elements and IoT Gateways
                      • Endpoint devices and sensor/actuator integration
                      • Device data collection and cloud connectivity
                      • Gateway data aggregation and analysis
                      • Hardware and software gateway implementations
                    • 9. Location Awareness
                      • GPS, Galileo, GLONASS, and BeiDou
                    • 10. Operating Systems
                      • Linux and FreeRTOS
                      • Contiki and Wind River VxWorks
                      • Android Things, ARM Mbed OS, and Apple iOS
                    - Cloud and Cloud Platforms
                    • 1. IoT Data Analytics
                      • Streaming analytics
                      • Predictive analytics
                      • Prescriptive analytics
                      • Analytics tools: Spark, Hadoop, and Cassandra
                    • 2. Cloud Deployment Models
                      • On-premises deployment
                      • Public and private cloud
                      • Hybrid cloud
                    • 3. Cloud Platforms
                      • Microsoft Azure
                      • Amazon Web Services
                      • Google Cloud Platform
                      • IBM Cloud and Oracle Cloud
                      • SAP Cloud Platform and Huawei FusionSphere
                    • 4. IoT Platform Functions
                      • Device management
                      • Security management
                      • Data management
                    • 5. Artificial Intelligence
                      • Machine learning and cognitive computing
                      • Computer vision
                      • Natural language processing
                      • AI tools: TensorFlow, Caffe, Theano, and Torch
                    • 6. Virtualization Technologies
                      • Hypervisors
                      • Containers
                    • 7. Cloud Service Models
                      • Software as a Service
                      • Platform as a Service
                      • Infrastructure as a Service
                    - IoT Networks and Connectivity
                    • 1. Wireless Protocols and Technologies
                      • Near-range connectivity: NFC and passive/active RFID
                      • Medium-range connectivity: IEEE 802.15.4, Zigbee, Thread, Z-Wave, Bluetooth/BLE, and Wi-Fi
                      • Long-range connectivity: Cellular, satellite, Sigfox, LoRa/LoRaWAN, and RPMA
                    • 2. Application and Messaging Protocols
                      • MQTT and AMQP
                      • HTTP/HTTPS and CoAP
                    • 3. IoT Networking
                      • IPv4 and IPv6 addressing
                      • Routing and quality of service
                      • Network encryption
                      • Software-defined networking and network function virtualization
                      • Encapsulation and bridging
                    • 4. Wired Protocols and Technologies
                      • Industrial Ethernet: PROFINET, EtherNet/IP, EtherCAT, IEEE 1588 v2, and TSN
                      • Legacy field buses: PROFIBUS, Modbus, and HART
                    - Common IoT Terminology
                    • 1. Artificial intelligence and machine learning
                      • 2. Things and connected devices
                        • 3. IoT gateways
                          • 4. Machine-to-machine communication
                            • 5. Edge and fog computing
                              • 6. Cloud computing and data analytics
                                • 7. Industrial Internet of Things
                                  - IoT Market Sectors and Applications
                                  • 1. Security and Public Safety
                                    • Traffic management and control
                                    • Public safety and environmental monitoring
                                    • Emergency services
                                    • Cameras, traffic sensors, drones, detectors, communication systems, and connected vehicles
                                  • 2. Transportation and Logistics
                                    • Fleet, fuel, and engine management
                                    • Operations, diagnostics, and predictive maintenance
                                    • Regulatory compliance and telematics
                                    • Aircraft, vehicles, locomotives, ships, radar systems, GPS, and engines
                                  • 3. Defense
                                    • Cost efficiency and warfighter effectiveness
                                    • Command and control, intelligence, surveillance, and reconnaissance
                                    • Intracommunications and unmanned systems
                                    • Human performance, logistics tracking, and medical tracking
                                    • Tanks, aircraft, drones, ships, submarines, connected warfighters, and satellites
                                  • 4. Healthcare, Medical, and Life Sciences
                                    • Telemedicine, remote care, and remote monitoring
                                    • Connected hospitals and robotic surgery
                                    • Patient monitoring and drug supply chain monitoring
                                    • Laboratory sample tracking and cold chain monitoring
                                    • Surgical robots, sleep monitors, pacemakers, insulin pumps, glucose monitors, CPAP machines, and laboratory equipment
                                  • 5. Buildings
                                    • Automated lighting and waste management
                                    • Building management systems and surveillance
                                    • Occupancy management and air quality management
                                    • Card readers, cameras, toll gates, HVAC systems, power distribution systems, monitoring devices, elevators, and escalators
                                  • 6. Energy and Utilities
                                    • Smart grids and energy management
                                    • Supervisory control and data acquisition
                                    • Automatic meter reading and power distribution automation
                                    • Inspection, preventive maintenance, flow control, and energy trading
                                    • Protection relays, connected meters, solar panels, wind turbines, and utility pipelines
                                  • 7. Retail
                                    • Access control and security
                                    • Inventory management, vending, and payment systems
                                    • Location-based monitoring, advertising, directions, and crowd control
                                    • Warehouse, transportation, and distribution systems
                                    • Customer analytics, real-time pricing, and energy management
                                    • Card readers, point-of-sale systems, kiosks, beacons, mobile devices, and digital signage
                                  • 8. Smart Cities
                                    • Route optimization and smart parking
                                    • Smart lighting and traffic management
                                    • Security, threat detection, and noise management
                                    • Air quality control and waste management
                                    • Structural integrity monitoring and public transportation
                                    • Connected waste receptacles, streetlights, traffic lights, vehicles, manholes, cameras, and rail systems
                                  • 9. Consumer and Home
                                    • Home automation and home security
                                    • Water, gas, and electricity management
                                    • Connected appliances
                                    • Thermostats, smart hubs, surveillance cameras, garage door openers, refrigerators, and wearables
                                  • 10. Agriculture
                                    • Fuel and fleet management
                                    • Crop and livestock management
                                    • Weather forecasting, soil optimization, and water management
                                    • Agricultural machinery, drones, irrigation systems, and livestock monitors
                                  • 11. Manufacturing
                                    • Factory, process, and machine automation
                                    • Robotics and collaborative robots
                                    • Asset, inventory, and supply chain management
                                    • Predictive maintenance and augmented reality
                                    • Programmable controllers, motor drives, and machine vision cameras
                                  The IoT System Development Life Cycle8%- Planning
                                  - Requirements analysis
                                  - Implementation
                                  - Integration and testing
                                  - Disposition
                                  - Operations and maintenance
                                  - Design
                                  - System concept development
                                  - Initiation
                                  - Development
                                  The Impact of IoT18%- Benefits of IoT
                                  • 1. Increase productivity, agility, and operational efficiency
                                    • 2. Reduce costs and natural resource consumption
                                      • 3. Create new revenue streams and enter new markets
                                        • 4. Increase safety and improve competitive position
                                          • 5. Increase business intelligence and enhance existing revenue streams
                                            • 6. Decrease time to market
                                              • 7. Increase innovation and improve customer experience
                                                - Challenges of IoT
                                                • 1. Organizational and cultural transformation
                                                  • Innovation and technology adoption
                                                  • Human resource practices, training, and skill development
                                                  • Management commitment
                                                • 2. Connectivity and coverage concerns
                                                  • 3. Transition from product-oriented businesses to everything-as-a-service models
                                                    • 4. Security, privacy, and safety concerns
                                                      • 5. Automation applicability and scalability of legacy solutions
                                                        • 6. Transition costs and digital disruption
                                                          • 7. Immaturity of standards, regulations, and oversight
                                                            • 8. Retrofitting modern designs into existing infrastructure

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