In which of the following applications would the M2M (Machine-to-Machine) communication model be most prevalent?
- E-commerce websites connecting customers and vendors.
- Healthcare devices monitoring patient vital signs.
- Home automation systems controlling lighting, heating, and security.
- Social media platforms for users to share photos and messages.
The M2M (Machine-to-Machine) communication model is most prevalent in applications such as home automation systems where machines (devices) communicate with each other to control various functions like lighting, heating, and security. This model is designed for seamless communication between machines to automate tasks and processes.
Which early technology played a significant role in the development of IoT concepts?
- Artificial Intelligence (AI)
- Blockchain
- Internet Protocol (IP)
- Radio Frequency Identification (RFID)
RFID technology played a significant role in the early development of IoT concepts. RFID tags and sensors allowed physical objects to be uniquely identified and tracked, which was a crucial foundation for the Internet of Things.
During the ________ phase of the IoT project lifecycle, the system's performance is evaluated against the defined objectives.
- Deployment
- Implementation
- Planning
- Testing
During the Testing phase of the IoT project lifecycle, the system's performance is evaluated against the defined objectives to ensure that it meets the requirements and functions correctly.
In a smart city project, it was found that street lights were not adapting to the changing environment despite having sensors. This issue might be related to:
- Connectivity issues
- Lack of data analysis
- Sensor calibration errors
- Software bugs
Street lights not adapting to the environment could be due to sensor calibration errors. If the sensors are not correctly calibrated, they may not accurately perceive the changing environmental conditions and, consequently, may not trigger the desired adjustments in the street lights. Regular calibration and maintenance are essential.
When considering power management for IoT devices, which factor is often the most critical?
- Battery life
- Memory size
- Network connectivity
- Processor speed
Battery life is often the most critical factor when considering power management for IoT (Internet of Things) devices. IoT devices are frequently deployed in locations where it is impractical to replace or recharge batteries frequently. Therefore, maximizing battery life is crucial to ensuring the longevity and reliability of IoT deployments.
Early IoT was primarily focused on:
- Industrial Automation and Monitoring
- Mobile App Development
- Online Gaming
- Social Media Integration
Early IoT was primarily focused on industrial automation and monitoring. It was used to improve processes, gather data from sensors in manufacturing and logistics, and increase efficiency in various industries. IoT's roots can be traced back to applications like remote monitoring and control of industrial equipment.
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.