CAMBRIDGE INSTITUTE OF TECHNOLOGY
K.R. PURAM, BENGALURU - 560 036.
Department of Artificial Intelligence and Machine Learning
Subject name: Introduction to IOT Semester: I
Subject code: BETCK105H Section: P1 to P6
QUESTION BANK FOR PREPARATORY EXAM
Sl. RBT
QUESTIONS COs Marks
No. Levels
1 Explain with a neat diagram of offsite processing topology. CO3 L2 10M
2 Explain IoT device selection consideration. CO3 L2 10M
Explain with diagram the different layers and its communication in processing
3 CO3 L2 10M
offloading.
4 Explain with a neat diagram of onsite processing topology. CO3 L2 10M
5 What are the different data formats found in IoT network traffic streams? CO3 L2 10M
6 Differentiate between structured and unstructured data. CO3 L2 10M
7 Explain in brief the factors to be considered while deciding on the data offload CO3 L2 10M
Define Virtualization. Explain its advantages from end user and service
8 CO4 L2 10M
provider point of view, and types of virtualizations.
9 Explain with a neat diagram of Architecture of a sensor-cloud platform. CO4 L2 10M
10 Summarize the case study related to Smart irrigation management system. CO4 L2 10M
11 Explain with a neat diagram of Components of an agricultural IoT. CO4 L2 10M
12 Differentiate among different cloud deployment models. CO4 L2 10M
13 Explain the features of CloudSim, Cloud Analyst and GreenCloud. CO4 L2 10M
14 Explain the Architecture of Agricultural IoT with a neat sketch . CO4 L2 10M
15 Explain the Architecture of vehicular IoT with a neat sketch . CO5 L2 10M
16 Explain the different types of Machine learning with neat block diagram. CO5 L2 10M
17 Explain with a neat diagram of Architecture of healthcare IoT. CO5 L2 10M
18 Define Machine learning and explain the advantages of ML. CO5 L2 10M
19 Explain different types of machines learning. CO5 L2 10M
20 Explain advantages and risk factor in healthcare IoT. CO5 L2 10M
21 Explain smart transportation system which help in crime assistance. CO5 L2 10M
22 What is unstructured data? CO3 L1 01M
23 Depending on the urgency of data processing, how are IoT data classified? CO3 L1 01M
24 What is collaborative Processing CO3 L1 01M
25 What is cloud computing? CO4 L1 01M
26 What is an SLA? Why it is important in cloud computing? CO4 L1 01M
27 What is machine learning? CO5 L1 01M
28 What is a AmbuSens? C5 L1 01M
29 What is RSU? C5 L1 01M
30 What is Agricultural Food chain? C$ L1 01M
K.R. PURAM, BENGALURU - 560 036.
Department of Artificial Intelligence and Machine Learning
Subject name: Introduction to IOT Semester: I
Subject code: BETCK105H Section: P1 to P6
QUESTION BANK FOR PREPARATORY EXAM
Sl. RBT
QUESTIONS COs Marks
No. Levels
1 Explain with a neat diagram of offsite processing topology. CO3 L2 10M
2 Explain IoT device selection consideration. CO3 L2 10M
Explain with diagram the different layers and its communication in processing
3 CO3 L2 10M
offloading.
4 Explain with a neat diagram of onsite processing topology. CO3 L2 10M
5 What are the different data formats found in IoT network traffic streams? CO3 L2 10M
6 Differentiate between structured and unstructured data. CO3 L2 10M
7 Explain in brief the factors to be considered while deciding on the data offload CO3 L2 10M
Define Virtualization. Explain its advantages from end user and service
8 CO4 L2 10M
provider point of view, and types of virtualizations.
9 Explain with a neat diagram of Architecture of a sensor-cloud platform. CO4 L2 10M
10 Summarize the case study related to Smart irrigation management system. CO4 L2 10M
11 Explain with a neat diagram of Components of an agricultural IoT. CO4 L2 10M
12 Differentiate among different cloud deployment models. CO4 L2 10M
13 Explain the features of CloudSim, Cloud Analyst and GreenCloud. CO4 L2 10M
14 Explain the Architecture of Agricultural IoT with a neat sketch . CO4 L2 10M
15 Explain the Architecture of vehicular IoT with a neat sketch . CO5 L2 10M
16 Explain the different types of Machine learning with neat block diagram. CO5 L2 10M
17 Explain with a neat diagram of Architecture of healthcare IoT. CO5 L2 10M
18 Define Machine learning and explain the advantages of ML. CO5 L2 10M
19 Explain different types of machines learning. CO5 L2 10M
20 Explain advantages and risk factor in healthcare IoT. CO5 L2 10M
21 Explain smart transportation system which help in crime assistance. CO5 L2 10M
22 What is unstructured data? CO3 L1 01M
23 Depending on the urgency of data processing, how are IoT data classified? CO3 L1 01M
24 What is collaborative Processing CO3 L1 01M
25 What is cloud computing? CO4 L1 01M
26 What is an SLA? Why it is important in cloud computing? CO4 L1 01M
27 What is machine learning? CO5 L1 01M
28 What is a AmbuSens? C5 L1 01M
29 What is RSU? C5 L1 01M
30 What is Agricultural Food chain? C$ L1 01M
