IOT IoT Data Analytics

Question 1

What is 'time-series data' in the context of IoT analytics?

Accepted Answer

Sequential data points collected over time from IoT sensors, indexed by timestamp

Answer

Data sorted alphabetically by device name

Answer

Data organized by geographic location

Answer

Encrypted data streams from IoT devices

Question 2

Which type of IoT analytics uses historical data to identify what happened and why?

Accepted Answer

Descriptive analytics

Answer

Predictive analytics

Answer

Prescriptive analytics

Answer

Cognitive analytics

Question 3

What is anomaly detection in IoT data analytics used for?

Accepted Answer

Identifying data points that deviate significantly from expected patterns, indicating potential failures or security threats

Answer

Compressing IoT data for storage

Answer

Encrypting sensor readings

Answer

Scheduling device maintenance manually

Question 4

Which database type is most commonly used to store and query large volumes of IoT time-series sensor data?

Accepted Answer

Time-series database (TSDB)

Answer

Relational SQL database

Answer

Document store

Answer

Graph database

Question 5

What does 'data aggregation' mean in an IoT analytics pipeline?

Accepted Answer

Combining data from multiple IoT devices or sensors into a unified dataset for analysis

Answer

Deleting redundant IoT data

Answer

Encrypting data before transmission

Answer

Routing data to different cloud regions

Question 6

Which machine learning technique is commonly used in IoT predictive maintenance to forecast equipment failure?

Accepted Answer

Regression analysis and classification models

Answer

K-means clustering

Answer

Reinforcement learning

Answer

Generative adversarial networks (GANs)