IOT & Data Science Quiz

A futuristic classroom filled with IoT devices and data science visualizations, with students engaged in a quiz session.

IOT & Data Science Mastery Quiz

Test your knowledge in the fascinating fields of Internet of Things (IoT) and Data Science! This quiz is designed for students and enthusiasts to challenge their understanding and application of crucial concepts.

Participants can expect to cover a range of topics including:

  • Machine Learning Techniques
  • IoT Challenges
  • Model Statistics
  • Data Selection
14 Questions4 MinutesCreated by LearningWave234
Name:
College mail id
USN
Semester
3
5
7
1. Which of the following function tracks the changes in model statistics?
VarImp
FindTrack
VarImpTrack
None of the mentioned
2.Which of the following curve analysis is conducted on each predictor for classification?
NOC
COC
ROC
All of the mentioned
3.Which Internet of Things (IoT) challenge involves the difficulty of developing and implementing protocols that allow devices to communicate in a standard fashion?
Security
Privacy
Interoperability
Compliance
4.Which challenge comes under IoT devices, reliable bidirectional signaling.
Signaling
Security
Presence detection
Power consumption
5.SBC stands for?
Standard Building Center
Smart Business Center
Standard Business Center
Smart Building Center
6.Adaptive system management is
Computational procedure that takes some value as input and produces some value as output
Science of making machines performs tasks that would require intelligence when performed by humans
It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
None of these
7. Bias is
A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory
Any mechanism employed by a learning system to constrain the search space of a hypothesis
An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation
None of these
8.Background knowledge referred to
Additional acquaintance used by a learning algorithm to facilitate the learning process
A neural network that makes use of a hidden layer
It is a form of automatic learning.
None of these
9. Data selection is
The actual discovery phase of a knowledge discovery process
The stage of selecting the right data for a KDD process
A subject-oriented integrated time variant non-volatile collection of data in support of management
None of these
10.What is the full form of IaaS?
Internet as a Software
Internet as a Service
Infrastructure as a Software
Infrastructure as a Service
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