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WorksheetsRevision on Artificial Intelligence
Total questions: 50
Worksheet time: 25mins
What are machines fed with to make them intelligent?
Data and algorithm
Data
Human brain
None of these
Is automatic dishwasher example of A.I ? If not why?
Yes
No, coz it is example of automation
No, coz it requires human input
Both b and c
Which technology is used to extract every minute detail from image by using deep neural networks ?
Deep learning
Hyper analysis
Detail viewing
Artificial detailing
Artificial intelligence allows machines to model, and even improve upon, the capabilities of the human mind.
True
False
Is Doraemon an Artificial Intelligence?
YES
NO
I don't no
What is not an application of Artificial Intelligence?
Self-driving cars
Recipes and cooking
Psychotherapy
Voice Assistants
What is AI?
Having human intelligence
Global information sharing system
The intellect is programmed by humans
Help computers can automate smart behaviors like humans
Tesla car is an example strong AI.
True
False
Which of the following is an application of AI?
Face Recognition
Vision systems
Expert systems
All of the above
Which of the following is not an example of AI machine.
An AI agent perceives and acts upon the environment using sensors.
True
False
In computer science,AI research is defined as what?
The study of computer
The study of Machine
The study of animal kingdom
The study of Intelligent agents
Chatbot is an example of AI smart machine.
True
False
The study of algorithms that enable the machine to learn from data and to make decisions without the help of humans.
Machine Learning
Artificial Intelligence
Which one of these is not an area of AI?
computer vision/image recognition
voice recognition
web design
robotics
Which of these languages is used for AI programming?
Cobol
Fortran
C++
Python
In this model, the machine is trained with huge amounts of data which helps it in training itself around the data. Such machines are intelligent enough to develop algorithms for themselves.
AI
ML
DL
Which one of the following is not an application of Natural Language Processing?
Smart assistants
Sentiment Analysis
Price Comparison Websites
Email filters
An air conditioner can be turned on and off remotely with the help of internet is an example of:
Augmented Reality
Automation
Internet of Things
Which of the following is not an AI application?
Google Maps
Writing suggestion in gmail
Face Recognition
Kahoot
Reinforcement learning is the process of learning in an environment through feedback from an AI’s behaviors.
True
False
Learning from labeled data.
Supervised Learning
Unsupervised Learning
Reinforcement Learning
All of the following are types of AI except.
Natural Language Processing
Machine Learning
Internet of Things
Speech Recognition
Machine Learning is the autonomous acquisition of knowledge through the use of manual programs.
True
False
Which of these would be a good use of machine learning?
Adding big numbers together
Counting the number of times a button is pressed
Recognizing if an email is spam
Which one of these statements is correct?
Machine learning is a technique where computers can be trained to perform tasks instead of needing to be given an explicit set of steps to follow
Machine learning is magic
Machine learning means we don’t need to think about problems any more because computers will think for us
Machine learning has replaced the need for us to learn how to code
Alice and Bob want to train a machine learning system to recognise if text is happy/positive or sad/negative. Which of them will probably train the best system?
Alice. She has collected 10 varied examples of happy text, and 10 varied examples of sad text.
Bob. He has collected 1000 examples of happy writing and 10 examples of sad writing.
What is OAV stands for?
Object-Attitude-Value
Object-Attribute-Value
Onset-Attitude-Value
Onset-Attribute-Value
Is this an OAV representation?
True
False
The advantage of frames compared to OAV are:
Has value controlling parameter like type and default
Allow inheritance
can represent sequence
doesn't allow subclass
Terms associated with frames are:
slot
value
instance
class
According to this decision tree, What is your spec prescription would be if your tears are normal, no astigmatism but have myope?
hard
soft
none
Which of these is FALSE for rules?
Rules can generate decision tree
Decision tree can generate rules
Rules do not allow contradiction
Rules are good in representing sequence
Which knowledge representation is best to show this fury's family tree and the physical inheritance?
OAV
Semantic Network
Frames
Rules
Why knowledge representation is important?
filters facts and non-facts
capture correct procedures
to map the facts
to formalise the knowledge engineering process
____________ are the truths in the real world which we would like to present.
Facts
Representation
knowledge level
symbol level
____________ can be considered an example of an algorithm
answer to a question
name of a person
favorite subjects
a recipe for making pancake
An algorithm is a set of __________ followed to complete a task.
values
points
scores
instructions
What is state space?
The whole problem
Your Definition to a problem
Problem you design
Representing your problem with variable and parameter
A space where You know the solution.
Which search method takes less memory?
(a) Depth-First Search
(b) Breadth-First search
(c) Both (a) and (b)
(d) Linear Search.
(e) Optimal search.
Which is true regarding BFS?
(a) BFS will get trapped exploring a single path
(b)
The entire tree so far been generated must be stored in BFS
(c)
BFS is not guaranteed to find a solution, if exists
(d)
BFS is nothing but Binary First Search
(e)
BFS is one type of sorting.
To build a AI system or to solve a particular problem which things have to be done.
a. Define the problem precisely.
b. Analyze the problem
c. Isolate and represent the task knowledge that is necessary to solve the problem
d. Choose the best solving technique and apply it to the particular problem.
e. Design and implement the problem.
a, b, c, d
a, b , d, e
a, b , c ,e
a , b , c , d ,e
hill climbing may fail to find a solution when it enters.
a. Local Maxima
b. Local Minima
c. Plateau
d. Ridge
a and b
a and c
a, b and c
a c and d
What are the components of an intelligent agent? [you can pick more than one option]
Environment
Sensor
Agent Function -> Agent Program
Actuator
Performance Measure
The perspective which views AI as the science of making intelligent agent is close to the following AI definition...
AI = Thinking Humanly
AI = Acting Humanly
AI = Thinking Rationally
AI = Acting Rationally
When google map formulate the route recommendation to a client, which algorithm will likely to be most suited to be used when the terrain is heterogeneous (consists of land, water, etc.)
Depth First Search Algorithm
Breadth First Search Algorithm
Cost Sensitive Search Algorithm
Uniform Cost Search Algorithm
In the google translate case, the google translate agent's sensors are ...
keyboard
internet
monitor pixels
natural language processing algorithm
In the google translate case, the most fundamental "performance measure" is ...
number of correct translation
number of website hits
number of available language offering
the speed of translation
