Which technology provides a decentralized ledger for transactions, making it a potential solution for IoT security?

  • Artificial Intelligence (AI)
  • Blockchain
  • Machine Learning
  • Wi-Fi
Blockchain technology offers a decentralized ledger for secure and transparent transactions, making it a potential solution for enhancing IoT security. It provides immutable and auditable records of transactions, improving trust and security.

The integration of IoT with cloud services is often facilitated by which development tool?

  • AWS IoT Core
  • Apache Kafka
  • Docker
  • MQTT
The integration of IoT with cloud services is often facilitated by AWS IoT Core, which is a managed service for IoT that provides secure and scalable connectivity to the cloud. MQTT, Docker, and Apache Kafka are relevant technologies but do not provide the same level of cloud integration as AWS IoT Core.

The combination of IoT and Big Data has led to the rise of ________ analytics, enabling real-time decision-making.

  • Descriptive
  • Predictive
  • Prescriptive
  • Streaming
The combination of IoT and Big Data has given rise to streaming analytics, which processes and analyzes data in real-time. This enables immediate decision-making based on the data generated by IoT devices.

The integration of blockchain in IoT can particularly enhance security in:

  • Data Integrity
  • Device Availability
  • Energy Efficiency
  • Real-time Data Processing
Blockchain integration in IoT is especially beneficial for maintaining data integrity. Blockchain's tamper-proof nature ensures that data remains unaltered, enhancing the trustworthiness of information in IoT applications. Device Availability, Real-time Data Processing, and Energy Efficiency are important but not the primary focus of blockchain integration in IoT.

The integration of IoT in agriculture, where sensors monitor soil moisture and automatically turn on irrigation systems, is an example of:

  • Edge Computing
  • M2M (Machine-to-Machine) Communication
  • IoT Data Analytics
  • Fog Computing
The integration of IoT in agriculture, where sensors monitor soil moisture and trigger irrigation systems, is an example of Edge Computing. In this scenario, IoT sensors at the "edge" (in the field) collect data, analyze it locally, and make real-time decisions (turning on irrigation) without sending all data to a centralized server. Edge computing enhances efficiency and reduces latency in agriculture applications.

RTOS stands for:

  • Rapid Transfer Operating System
  • Real Test of Speed
  • Real-Time Operating System
  • Reliable Technical Operating System
RTOS stands for Real-Time Operating System. It's an operating system intended to serve real-time applications, where processing must be done within specific time constraints.

A common security challenge faced by IoT devices is:

  • High device compatibility
  • Inadequate authentication
  • Strong encryption
  • Weak connectivity
A common security challenge faced by IoT devices is inadequate authentication. Many IoT devices lack robust authentication mechanisms, making them vulnerable to unauthorized access and potential security breaches. Proper authentication is essential for protecting IoT devices and the data they handle.

________ attacks exploit vulnerabilities in IoT devices to gain unauthorized access.

  • DDoS
  • Firmware
  • IoT
  • Zero-Day
Zero-Day attacks target vulnerabilities in IoT devices that are not yet known to the manufacturer or the public. Exploiting these undisclosed weaknesses can lead to unauthorized access or compromise of the device, making it a significant security concern.

________ is a type of RTOS kernel which is event-driven, primarily used for embedded systems.

  • FreeRTOS
  • Java Virtual Machine
  • Linux Kernel
  • Windows 10
FreeRTOS is a real-time operating system (RTOS) kernel that is event-driven and widely used in embedded systems due to its low resource requirements and real-time capabilities.

When considering advanced IoT applications, which communication model would be most suitable for enabling autonomous vehicles to interact with traffic signals?

  • Point-to-Point (P2P) Communication
  • Publish-Subscribe Communication (Pub/Sub)
  • Client-Server Communication
  • Mesh Network Communication
In advanced IoT applications involving autonomous vehicles and traffic signals, a Publish-Subscribe (Pub/Sub) communication model is most suitable. This model allows multiple devices (vehicles) to publish information (their status, location) to a central hub (traffic signals) and subscribe to updates from others. It's a scalable and efficient way for real-time interaction, enabling vehicles to receive timely traffic information.