As IoT devices proliferate, the need for ________ in data storage becomes critical to ensure data integrity and quick retrieval.
- Compression
- Latency
- Scalability
- Security
As the number of IoT devices grows, ensuring data integrity and quick retrieval is crucial. Security measures become critical to protect the data from various threats and vulnerabilities.
Advanced visualization tools in IoT are crucial for:
- Reducing data storage costs.
- Enhancing the aesthetics of IoT dashboards.
- Gaining insights from complex data.
- Managing IoT device firmware.
Advanced visualization tools in IoT are crucial for gaining insights from complex data. With the enormous volume of data generated by IoT devices, visualizations help in presenting the data in a comprehensible manner. This is vital for analyzing trends, anomalies, and making informed decisions in IoT applications.
How can blockchain technology enhance the security of IoT devices?
- Data immutability
- Decentralized control
- Improved battery life
- Real-time data analysis
Blockchain enhances IoT security through data immutability. Blockchain's distributed ledger ensures that once data is recorded, it cannot be altered, making it ideal for securing the integrity of IoT data, such as sensor readings and device logs.
Devices connected via ________ are known for their ability to connect directly without requiring a central hub or router.
- Bluetooth
- Thread
- Wi-Fi
- Zigbee
Devices connected via the Thread wireless protocol are known for their ability to create self-healing mesh networks and connect directly with one another. Thread allows devices to communicate in a decentralized manner, eliminating the need for a central hub or router.
After a series of unauthorized data breaches from its IoT devices, a company decided to implement a system where each device had to present a unique digital certificate to communicate. This approach emphasizes:
- Data Encryption
- Data Storage
- Firewall Protection
- Identity and Authentication
Requiring unique digital certificates for each device emphasizes Identity and Authentication. It ensures that each device is who it claims to be, adding a layer of security to prevent unauthorized access or data breaches.
Which protocol is designed for scenarios where minimal code footprint is required and the network's bandwidth is limited?
- CoAP
- HTTP
- MQTT
- REST
The Constrained Application Protocol (CoAP) is specifically designed for IoT scenarios where resources, code footprint, and bandwidth are limited. It's a lightweight protocol that enables efficient communication between IoT devices and applications. CoAP is designed for constrained networks and devices.
To automate the process of inventory management, many retail stores have started using ________.
- Barcodes
- Drones
- GPS
- RFID
Many retail stores have adopted Radio-Frequency Identification (RFID) technology to automate and improve inventory management. RFID tags are attached to products, making it easier to track, manage, and update inventory in real time.
To ensure device integrity in the IoT landscape, manufacturers often employ ________ mechanisms.
- Authentication
- Authorization
- Data Mining
- Encryption
Manufacturers employ "Encryption" mechanisms to ensure device integrity in the IoT landscape. Encryption helps secure data and communication, preventing unauthorized access and tampering.
Which of the following was a precursor to the modern IoT?
- Blockchain
- Quantum Computing
- RFID (Radio-Frequency Identification)
- Virtual Reality (VR)
RFID (Radio-Frequency Identification) technology served as a precursor to the modern IoT. RFID allows objects to be identified and tracked using radio waves. It was one of the early technologies that demonstrated the concept of interconnected devices communicating over a network, which is a fundamental aspect of the IoT.
The convergence of Big Data and IoT has led to the emergence of which computing paradigm?
- Cloud Computing
- Edge Computing
- Fog Computing
- Quantum Computing
The convergence of Big Data and IoT has given rise to "Fog Computing." Fog Computing extends cloud computing capabilities to the edge of the network, closer to where data is generated, thus enabling faster processing and real-time decision-making in IoT systems.