One of the primary concerns regarding IoT devices is:

  • Battery life
  • Data encryption
  • Device provisioning
  • Interoperability
One of the primary concerns with IoT devices is ensuring interoperability. IoT devices often come from different manufacturers and need to work together seamlessly to provide value. Ensuring that devices can communicate and share data across different platforms and ecosystems is crucial for the success of IoT.

In the context of IoT security, ________ ensures that a device can perform only the actions it's permitted to.

  • Authentication
  • Authorization
  • Encryption
  • Firmware
IoT security relies on both authentication, which verifies the identity of the device, and authorization, which specifies what actions the device is allowed to perform. Authorization ensures that devices only perform permitted actions.

A ________ attack can disrupt the service of an IoT device by overwhelming it with traffic.

  • DDoS
  • DNS
  • HTTPS
  • Malware
A DDoS (Distributed Denial of Service) attack can disrupt the service of an IoT device by overwhelming it with a massive volume of traffic from multiple sources, causing it to become unreachable to legitimate users. DNS, HTTPS, and Malware are not types of attacks but rather components or protocols used in networking and security.

The ultra-reliable low latency communication (URLLC) feature of 5G is crucial for which type of IoT application?

  • Agricultural Sensors
  • Autonomous Vehicles
  • Industrial Automation
  • Smart Home Devices
URLLC in 5G is essential for applications that require extremely low latency, such as autonomous vehicles, where split-second decisions are critical for safety.

An advantage of using predictive analytics in IoT for energy management is:

  • Improved data encryption
  • Increased device connectivity
  • Real-time data sharing
  • Reduced energy consumption
One advantage of using predictive analytics in IoT for energy management is reduced energy consumption. By analyzing data from various sensors and devices, predictive analytics can optimize energy usage, helping to reduce energy waste and lower operational costs.

Machine Learning in IoT is primarily used for:

  • Data Storage
  • Data Transmission
  • Device Connectivity
  • Predictive Analytics
Machine Learning in IoT is primarily used for predictive analytics. It involves using historical data to make predictions and decisions, a key aspect of IoT applications.

A company is developing a medical wearable device that requires immediate response times for critical functions. They should likely choose which type of operating system?

  • General-Purpose Operating System
  • Mobile Operating System
  • Network Operating System
  • Real-time Operating System (RTOS)
For a medical wearable device requiring immediate response times, an RTOS is the best choice. RTOS is designed to handle real-time applications, making it ideal for critical functions. General-purpose, mobile, and network operating systems may not meet the stringent timing requirements of medical wearables.

________ 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.

How does predictive analytics in IoT benefit industries such as manufacturing?

  • Ensures data encryption at rest
  • Identifies production issues early
  • Increases device connectivity
  • Provides real-time data sharing
Predictive analytics in IoT can help manufacturing by identifying production issues early. It can detect anomalies and trends, allowing manufacturers to address problems before they cause significant disruptions. This results in improved production efficiency and reduced downtime.

Which of the following is a low-power wireless protocol specifically designed for short-range communication in IoT devices?

  • 5G
  • Bluetooth
  • Wi-Fi
  • Zigbee
Zigbee is a low-power wireless communication protocol designed for short-range communication in IoT (Internet of Things) devices. It is known for its energy efficiency, making it suitable for battery-operated IoT devices with limited power resources. Zigbee is often used for home automation, industrial control, and other IoT applications that require reliable, low-power communication.