Data Analytics in IoT

Which process is essential for accurate analysis and meaningful insights in IoT data?

• a) Data Encryption

• b) Data Visualization

• c) Data Compression

• d) Data Preprocessing

What is the primary role of data analytics in IoT?

• a) Generating more data

• b) Managing and extracting valuable insights from IoT data

• c) Limiting the amount of data collected

• d) Reducing IoT device capabilities

What type of analytics allows for immediate insights and responses from IoT data as it arrives?

• a) Predictive Analytics

• b) Batch Analytics

• c) Real-Time Analytics

• d) Descriptive Analytics

Which of the following is NOT a benefit of predictive analytics in IoT?

• a) Forecasting future trends

• b) Detecting anomalies

• c) Increasing manual interventions

• d) Optimizing processes

What is a key metric in descriptive analytics for IoT?

• a) Device Count
  

• b) Security Breaches

• c) Network Traffic

• d) AI Integration

Which technology helps IoT analytics scale storage, processing, and analytics capabilities as needed?

• a) Distributed Computing

• b) Edge Computing

• c) Cloud Computing

• d) Quantum Computing

Which sector benefits from IoT analytics through improved resource management and crop monitoring?

• a) Healthcare

• b) Smart Cities

• c) Agriculture

• d) Manufacturing

Which future trend in IoT analytics aims to reduce network traffic by processing data closer to the devices?

• a) Cloud Computing

• b) Edge Computing

• c) Quantum Computing

• d) Predictive Analytics

What does anomaly detection in IoT analytics help with?

• a) Identifying unusual or unexpected behavior

• b) Optimizing cloud storage

• c) Increasing data size

• d) Improving battery life of IoT devices

How does business intelligence and decision support benefit from IoT analytics?

• a) By increasing manual processing

• b) By limiting customer interaction

• c) By reducing the need for IoT devices

• d) By providing data-driven insights for strategic decision-making