IOT IoT Data Analytics 2

Question 1

What is 'edge analytics' in an IoT deployment?

Accepted Answer

Processing and analyzing IoT data at or near the device rather than sending it all to the cloud

Answer

Analytics performed only in the cloud

Answer

Analytics at the network's geographic boundary

Answer

Analysis of network edge security threats

Question 2

Which concept describes the practice of processing only significant IoT data changes rather than transmitting every reading?

Accepted Answer

Delta transmission or exception reporting

Answer

Data replication

Answer

Data deduplication

Answer

Data normalization

Question 3

What is the purpose of a 'digital twin' in IoT data analytics?

Accepted Answer

A virtual model of a physical IoT device or system, updated with real-time sensor data for simulation and analysis

Answer

A backup copy of IoT device firmware

Answer

A duplicate device for redundancy

Answer

A secondary cloud region for data backup

Question 4

Which streaming analytics platform is commonly used to process high-volume, real-time IoT data streams?

Accepted Answer

Apache Kafka with Kafka Streams or Apache Flink

Answer

MySQL

Answer

SQLite

Answer

MongoDB Atlas

Question 5

What does 'data normalization' mean when preparing IoT sensor data for analytics?

Accepted Answer

Scaling data values to a standard range to remove bias due to different measurement units

Answer

Deleting duplicate sensor readings

Answer

Encrypting data for secure storage

Answer

Converting data to JSON format

Question 6

In IoT analytics, what does 'data labeling' refer to in the context of supervised machine learning?

Accepted Answer

Annotating historical IoT sensor data with known outcomes to train predictive models

Answer

Adding metadata tags to IoT device configurations

Answer

Labeling physical IoT devices with asset tags

Answer

Naming data streams in a database