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(iii) It is a question-answering machine that combines artificial intelligence (AI) and sophisticated analytical software. It
answers the questions posed in natural languages. Companies use it for analysing the data, predicting the future
growth prospects and automating some tedious and complex processes. About which of the following machines we
are talking about? 1
a) Google’s Driverless car b) IBM Watson
c) Sophia d) None of these
(iv) Name any one disadvantage of AI. 1
a) Increased Automation b) Increased Productivity
c) Smart Decision Making d) Expensive Technology
(v) In classification, you teach the machine to perform with what kind of data? 1
a) Labelled b) Large
c) Complex d) Continuous
(vi) Which of the following carries the signal from the brain or spinal cord to the organs, glands or muscles to carry out
voluntary or involuntary movement? 1
a) Sensory neuron b) Motor neuron
c) Interneuron d) Neuron
4. Answer any 5 out of the given 6 questions. (1 × 5 = 5 marks)
(i) Identify which of the following is incorrect about the unsupervised learning-based model. 1
a) We can provide a very large data set.
b) The algorithm itself analyzes the data set and determines relationships within that data.
c) The labelled data is fed with some rules by the developers.
d) It lets make predictions and improves the algorithms on its own.
(ii) Data features refer to the ………………………. of data you want to collect. 1
a) Relevance b) Size
c) Type d) None of these
(iii) ………………………. is a rule-based AI model which helps the machine in predicting what an element is with the help of
various decisions (or rules) fed to it. 1
a) Decision Trees b) Machine learning
c) Deep learning d) Regression
(iv) Artificial Intelligence (AI) is a discipline that aims to create robots that are intelligent enough to do jobs that are typically
performed by humans only. Identify which of the following aspects is still beyond the capabilities of artificial intelligence. 1
(i) Numerical ability (ii) High processing power
(iii) Emotional intelligence (iv) Speech recognition 1
a) (i) and (iii) only b) (ii) and (iii) only
c) (i), (ii) and (iii) d) Only (iii)
(v) ………………………. are loosely modelled after how neurons in the human brain behave. 1
a) Neural networks b) Biological networks
c) Artificial networks d) Wireless networks
(vi) Autonomous Weapons are also known as ………………………. . 1
a) Killer Robots b) Automatic Robots
c) Micro Robot d) All of these
Model Test Paper-1 385

