wayground logo

Free Printable Worksheets

NEW

Font size

S
M
L
XL
Worksheets

Introductio to AI and Its Applications(1BAIA103/203))

Total questions: 30

Worksheet time: 15mins

Name
Class
Date
1.

Select a language that is not used to code AI applications.

a)

R

b)

Python

c)

Java

d)

C++

2.

The CEO of which company said ‘AI First’?

a)

Microsoft

b)

Google

c)

Amazon

d)

Twitter

3.

Choosing the right algorithm to reach the desired outcome is a part of which process?

a)

Learning

b)

Reasoning

c)

Self-correction

d)

AI

4.

In 1958, John McCarthy developed the AI programming language _____.

a)

Lisp

b)

Prolog

c)

R

d)

Python

5.

Which company made the first self-driving car that could pass a state driving test?

a)

Microsoft

b)

Google

c)

Amazon

d)

Twitter

6.

Google search, image recognition software, self-driving cars and IBM’s Watson are some examples of which systems?

a)

Weak

b)

Strong

c)

Both of these

d)

None of these

7.

IBM’s Deep Blue is an example of _____.

a)

Limited memory

b)

Reactive machines

c)

Theory of mind

d)

Self-awareness

8.

Which machine makes decisions keeping in view the feelings experienced through self-reflection and determination?

a)

Reactive

b)

Limited memory

c)

Theory of mind

d)

Self-awareness

9.

_____ robots are designed to perform tasks in open environments that do not require constant human supervision.

a)

Reactive robots

b)

Limited memory robots

c)

Supervised robots

d)

Autonomous robots

10.

Drones are examples of ______ robots.

a)

Pre-programmed

b)

Tele-operated

c)

Augmenting

d)

Autonomous

11.

______ intelligence is the ability to perceive visual or spatial information, change it and recreate visual images.

a)

Bodily-kinesthetic

b)

Spatial

c)

Logical-mathematical

d)

Musical

12.

______ is the set of processes used in making decisions and prediction.

a)

Reasoning

b)

Learning

c)

Perception

d)

Problem solving

13.

______ learning triggers learning by watching and imitating others.

a)

Perceptual

b)

Relational

c)

Observational

d)

Stimulus-response

14.

Identify the incorrect statement.

a)

Agent can be anything that is capable of perceiving its environment.

b)

Agents acts upon their environment using sensors.

c)

An agent must perform all the actions to maximize its performance measure with respect to the percept sequence and the knowledge base that it has.

d)

Rationality empowers the agent to perform expected actions after perceiving.

15.

______ agents work using Condition-Action Rule that maps a state to an action.

a)

Simple reflex

b)

Model-based reflex

c)

Goal-based

d)

Utility-based

16.

______ element of the learning agent provides feedback.

a)

Performance

b)

Learning

c)

Critic

d)

Problem generator

17.

A ______ environment has a finite number of percepts.

a)

Continuous

b)

known

c)

observable

d)

discrete

18.

______ learning is extensively applied in an unknown environment.

a)

Reinforcement

b)

Machine

c)

Deep

d)

Transfer

19.

An environment with sensors can be partially observable because of ______.

a)

noise

b)

inaccuracy of the sensors

c)

states are missing from the sensor data

d)

All of these

20.

Crossword puzzle is an example of ______ environment.

a)

Static

b)

dynamic

c)

Semi-dynamic

d)

None of these

21.

A series of one-shot actions, and only the current percept is required for the action.

a)

episodic

b)

non-episodic

c)

deterministic

d)

non-deterministic

22.

_____ represents information and facts about actions which occur in the real world.

a)

Objects

b)

Events

c)

Performance

d)

Meta-knowledge

23.

_____ knowledge helps us to describe a particular concept, fact, object and its attributes.

a)

Meta

b)

Procedural

c)

Declarative

d)

Structural

24.

_____ component retrieves data from the environment, discovers the source(s) of noise, checks if the AI was damaged by anything and defines response to be given when any sense has been detected.

a)

Perception

b)

Learning

c)

Planning and Execution

d)

Knowledge representation and reasoning

25.

With _____ component, the system focuses on self improvement through knowledge acquisition, inference, acquisition of heuristics, faster searches, etc.

a)

Perception

b)

Learning

c)

Planning and execution

d)

Knowledge representation and reasoning

26.

Which of the following is not a function planning and execution component?

a)

Select an initial state

b)

Enumerate preconditions and effects

c)

Enumerate a sequence of actions to achieve the goal state

d)

Reasoning and suggestions for self-improvement

27.

_____ manipulates the representational structures to produce new knowledge corresponding to the existing structure.

a)

Representational accuracy

b)

Inferential adequacy

c)

Inferential efficiency

d)

Acquisitional efficiency

28.

_____ derives new sentences from old ones and also facilitates addition of new sentence(s) to the knowledge base.

a)

Knowledge representation system

b)

Knowledge base system

c)

Inference engine

d)

Knowledge-based agent

29.

_____ operation informs the knowledge base which action was selected and performed by the agent.

a)

ASK

b)

TELL

c)

PERFORM

d)

Any of these

30.

Sentences are encoded into different logics at _____ level.

a)

Knowledge

b)

Logical

c)

Implementational

d)

All of these