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WorksheetsAi new
Total questions: 168
Worksheet time: 2hrs 42mins
Why is ai important
Why is ai important
Alexa recognize
Speech
Robot
Image
Alan Turing coin ai in 1957
False
True
__Is subset of machine learning
Deep learning
Artificial learning
Ai is recent
No
Yes
Maybe
Which of following activity is not part of evaluation and deployment stage
Evaluation
Tuning
Review
Exploration
How is ai project cycle different from normal it project cycle
Defend ai in your response
Which of following steps come first
Problem scope
Identify
Goals
Stakeholders identify
Are u bored
Yes
No
Don't bother
Ded
Data acquisition vs data exploring
Ai cannot __ data
Sort
Classify
Understand
Analysis
Normal it projects end with __
Evaluation
Deployment
Modelling
Testing
What technology enables thinking capability in computers?
Deep Learning
Artificial Intelligence
AGI
None of the above
Which of the following is an example of Turing Test?
Conversation between man and machine
Bot chat
CAPTCHA
all of the above
Who was of the view that there will always be something that the computer cannot understand?
Alan Turing
Gary Kasparov
John Searle
Roger Penrose
True Intelligence is another name for ___
UTM
Weak AI
Consciousness
AGI
Strong AI attributes consciousness to computers
True
False
Captcha can be cracked by a computer
True
False
Do you think one day humans may become irrelevant due to advanced technology?
Yes definitely
May be
Not sure
Not at all
Weak AI is designed for a specific task
true
false
The G in 5G stands for?
Gigabit
Gigahertz
Generation
Good to Go
(Multiple Choose) Choose AI Factors
Data
Sophia
Machine Learning
Natural Language Processing
Robotics
Autonomous Vehicles are one example of AI Future
True
False
This language is easy to learn and is one of the most popular language for AI today:
C++
Python
Ruby
Java
Voice- based command systems use (a) to understand and interpret the commands.
What does NLP stand for in AI?
Neutral Learning Projection
Neuro-Linguistic Programming
Natural Language Processing
Neural Logic Presentation
This language is easy to learn and is one of the most popular language for AI today:
C++
Python
Ruby
Java
Google Assistant has passed the Turing Test.
True
False
Amazon Go uses (a) to capture product details and their prices in a cashier less store environment.
My Laptop
True
False
Artificial Intelligence [Ai] is the science of making machines that ... [you can pick more than one option]
think like human
act like human
think rationally
act rationally
Artificial Intelligence [Ai] is the science of making machines that ... [you can pick more than one option]
think like human
act like human
think rationally
act rationally
If you have to pick one best definition that reflect the current state of artificial intelligence [AI] body of knowledge, AI can be defined as the science of making machines that ... [you can pick more than one option]
think like human
think rationally
act like human
act rationally
What is the oldest definition of artificial intelligence [AI]? AI is the science of making machines that ...
think like human
think rationally
act like human
act rationally
The Turing Test ultimately tests the AI ability to ...
think like human
think rationally
act like human
act rationally
Out of the following options, which AI approach came first?
Boolean Circuit Model of the Brain
Knowledge Based AI
Statistical Approach AI + Subtle Expertise
Big Data and Deep Neural Nets
In the video, which applications field of AI were discussed? [you can pick more than one option]
Natural Language Processing
Computer Vision
Gaming
Robotics
The following body of knowledge is always needed in building an AI-based robot... [you can pick more than one option]
Computer Science
Mechanical Engineering
Electronics
Industrial Engineering
If you have to to pick the most important technique that will contribute in the autonomous car's ability to sense its surrounding it will be ...
Natural Language Processing
Robotics
Computer Vision
Gaming
The following points are discussed in the lecture video... [you can pick more than one option]
The AI Course Prerequisite
AI Definition
The History of AI
Machine Learning
Machine learning only restricted rules
true
False
AI can enhance network security by learning the patterns of network traffic and recommending both security policies and functional workload grouping.
True
false
This language is easy to learn and is one of the most popular language for AI today
C++
JAVA
RUBY
PYTHON
1. Which one of the following is an application of AI?
Remote controlled Drone
Self-Driving Car
Self-Service Kiosk
. Self-Watering Plant System
What does NLP stand for in AI?
NATURAL LEARNING PROCESS
NEUTRAL LEARNING PROJECTION
NATURAL LANGUAGE PROCESSING
NEURAL LOGIC PRESENTATION
what is full form of AI
artficial improvement
artificial input
artificial intelligence
application intelligence
This is a program that allows the computer to simulate conversation with a human
being:
Chat bot
Speech Application Program Interface
speech recognisation
Rock paper scissor game was on domain
data for AI
computer vision
natural language processing
Mystery animal game was based on
natural language processing
computer vision
data for AI
The ability of a computer to understand
images and videos
computer vision
robotics
Natural Language Processing
Human face recognition:………………
computer vision
robotics
Natural Language Processing
What is AR?
Augmented Reality
Argumentative Reality
Augmented Response
All of the above
The following statements describe Artificial Intelligence EXCEPT
AI is very useful in the present generation increasing its productivity.
Al is a threat if mismanaged or used for bad intentions.
AI replaces humans as it is more efficient than humans.
All of the above
Which of the following is not the type of AI?
Reactive machines
Unlimited memory
Self-awareness
What are the main goals of AI?
To Create Expert Systems
To Implement Human Intelligence in Machines
Both A and B
None of the Above
Which of the following is not the type of AI?
Reactive machines
Unlimited memory
Self-awareness
Neural network is associated to
machine learning
deep learning
both
Face detection is a limitation of
deep learning
machine learning
none of these
Data evaluation has two parts
training and targeting
targeting and testing
training and testing
Select correct sequence of AI Project cycle stages
Data Acquisition, Data Exploration, Modelling, Problem Scoping, Evaluation
Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation
Problem Scoping, Data Acquisition, Data Exploration, Evaluation, Modelling
Humans can understand the trends and patterns out of the data acquired because of
Data Collection
Data Exploration
Data Mining
Data is a complex entity- to analyze the data it is required:
To visualize all data
To print all data
To add all data
Data visualization is part of the stage:
Evaluation
Problem scoping
Data Exploration
The stage which do calculate the efficiency and performance of the model:
Evaluation
Modelling
Exploration
Problem scoping helps in ________.
setting the goal
identifying the problem
a deeper understanding of the problem
All of these
Problem scoping helps in ________.
setting the goal
identifying the problem
a deeper understanding of the problem
All of these
Which of the following is not an authentic source for data acquisition?
Sensors
Surveys
Web Scraping
System Hacking
Which of the following is not an authentic source for data acquisition?
Sensors
Surveys
Web Scraping
System Hacking
The beginning part of the decision tree is called _______.
Leaves
Root
Nodes
Branches
______can be collected from various sources like newspapers, cameras, observations, surveys, questionnaires and so on.
Elements
Connectors
Data
Relations
__________ data is used to assess the AI machine for its efficiency and performance.
Testing data
Training data
Data features
System
__________refers to the method of designing a model of real system.
Evaluation
Modelling
Data acquisition
Data exploration
In rule-based approach the data is _______and in learning-based approach it is _________.
Unlabeled, unlabeled
Labelled , unlabeled
Unlabeled, labelled
Labelled, labelled
In___________________, the machine is trained with huge amounts of data which helps it in training itself around the data.
Classification
Supervised Learning
Unsupervised Learning
Deep Learning
What are the people facing a problem called?
Activators
Infulencers
Stakeholders
Actors
Which of the following is not an application of NLP
Spam filtering
Alexa
Voice to text translator
Writing suggestions
How many SDGs have been announced by the United nations?
20
17
2030
2020
Which of the following are the visual representation of data?
Graphs
Maps
AI Models
Flowchart
Codes
For any AI project to be efficient, the training data should be __________ and relevant to the
problem statement scoped.
outsourced
free-sourced
authentic
All of these
Data features refer to the___________________________
type of data you want to collect.
set of data you want to collect.
source of data you want to collect.
Which of these are open-sourced Govt. portals ?
data.gov.in
cbse.nic.in
wikipedia.org
india.gov.in
___________ is a complex entity – it is full of numbers and if anyone wants to make some sense out of it, they have to work some patterns out of it.
Relation
Data
Instruction
Information
1.Which one of the following is the second stage of AI project cycle?
Data Exploration
Data Acquisition
. Modelling
Problem Scoping
1.Which one of the following is the second stage of AI project cycle?
Data Exploration
Data Acquisition
. Modelling
Problem Scoping
2.Which of the following comes under Problem Scoping?
. System Mapping
4Ws Canvas
. Data Features
Web scraping
what is the first step in AI project cycle ?
Analytics approach to the project
Business or project requirements
Data requirements
Data collection
The stage deals with validating or verification of the concerned data ?
Model selection
System tuning
Exploratory data analysis
Data preparation
Which step involves testing the system to see how the system respond to the data , check if there any errors .
Data requirement
Project deployment
Project review
Project evaluation
Explain the Identification of Stakeholders.
what are the steps of problem scoping ?
Goal setting
HR department
Identifying the existing measures
Identifying the ethical concern
what are the three parameters of big data ?
volume
verifiability
velocity
variety
This is the first step after identifying the problem in developing AI projects .
Problem identification
Goal setting
Problem scoping
Ethical concern
what is the term used for describing the judgmental or commonsense part of problem solving ?
Heuristic
Critical
Value based
none of the above
What are the Types of Data Weak Ai Systems?
If a robot can alter its own trajectory in response to external conditions ,it is considered to be :
mobile
non servo
open loop
intelligent
What are the other data classification
Time Stamped data
Unstructured data
Open data
Real time data
Machine data
This data is the collection of facts and statistics which is used for reference or analysis
Numeric data
Big data
Text data
Data acquisition
Which is true?
All formal languages are like natural language
Not all formal language are context free
State the steps of Problem Scoping
One of the leading American robotics centres is the robotics Institute located at
RAND
MIT
CMU
SRI
How many phases in IT project cycle?
2
5
6
4
What is the uses of big data?
Product Development
Velocity
Variety
Volume
What is velocity?
The Speed at which the data is received
Development of IOT
Emergency of big data sets
Twitter data feed or data from sensor enabled equipment
Explain Predictive Maintenance.
The output at each node is called --------- .
axons
neurons
weight
node value
What kind of planning consists of successive representation of different levels of a plan?
project planning
non-hierarchical planning
All of the mentioned
hierarchical planning
The IT project cycle will have four distinct phases:
Design - ________ - Test - Deploy
What is the second distinct phase in the IT project cycle?
Advance
Evolve
Develop
Thrive
What are the stages of the AI project cycle in order?
1. evaluation
2. data
3. modeling
4. planning
1. data
2. planning
3.evaluation
4. modeling
1. planning
2.data
3.modeling
4. evaluation
Data exploration lies in which stage?
1 st stage
2nd stage
3rd stage
4th stage
Problem scoping helps in ________.
setting the goal
identifying the problem
a deeper understanding of the problem
All of these
Which of the following W of 4Ws canvas problem helps in analysing the affected people directly or indirectly?
Who
What
Where
Why
The beginning part of the decision tree is called _______.
Leaves
Root
Nodes
Branches
_________ block helps in focuses on the situation or context the problem is located.
Who
What
Where
Why
______can be collected from various sources like newspapers, cameras, observations, surveys, questionnaires and so on.
Elements
Connectors
Data
Relations
__________ data is used to assess the AI machine for its efficiency and performance.
Testing data
Training data
Data features
System
__________refers to the method of designing a model of real system.
Evaluation
Modelling
Data acquisition
Data exploration
In ________ stage of AI project cycle, the data is put in a meaningful form to analyse data.
Data Acquisition
Data exploration.
Modelling
Evaluation
In rule-based approach the data is _______and in learning-based approach it is _________.
Unlabeled, unlabeled
Labelled , unlabeled
Unlabeled, labelled
Labelled, labelled
________________________ refers to the AI modelling where the machine learns by itself.
Learning Based
Rule Based
Machine Learning
Data Sciences
What are the people facing a problem called?
Activators
Infulencers
Stakeholders
Actors
In __________approach the relationships or patterns in data are defined by the developer.
Learning based
Rule-based
Decision based
System maps
Which of the following refers to “Where” block of 4Ws canvas?
nature of the problem
context/situation/location
solution or benefits to the stakeholders
stakeholders
____________ is a method helps to comprehend information quickly and communicate the story to others.
Data visualization
Data acquisition
Data feature
Evaluation
_______ is used to frame the 4Ws into a consolidated template to define the problem and its location, stakeholders and how the problem is solved.
Data visualization
Survey
Problem Statement Template
Data set
Which of these is not a visualization technique?
System maps
Neural network
Pie chart
Decision tree
What is the first stage of AI project cycle?
Evaluation
Data Acquisition
Problem Scoping
Modelling
Data evaluation has two parts
training and targeting
targeting and testing
training and testing
Select correct sequence of AI Project cycle stages
Data Acquisition, Data Exploration, Modelling, Problem Scoping, Evaluation
Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation
Problem Scoping, Data Acquisition, Data Exploration, Evaluation, Modelling
Humans can understand the trends and patterns out of the data acquired because of
Data Collection
Data Exploration
Data Mining
Data is a complex entity- to analyze the data it is required:
To visualize all data
To print all data
To add all data
The stage which do calculate the efficiency and performance of the model:
Evaluation
Modelling
Exploration
Which of the following is not an stage of AI Project Cycle?
Modelling
Problem Solving
Data Exploration
Data Acquisition
Evaluation
How many SDGs have been announced by the United nations?
20
17
2030
2020
Under which block of 4Ws Problem Canvas, you also gather evidence to prove that the problem you have selected actually exists.
What
Why
Where
Who
What is termed as the Problem Statement Template?
the template summaries all the cards of 4Ws Problem Canvas
Data set collected to extract the key elements of a problem
The template provides the prediction of the data set
None of these
Testing Data and Training Data are same.
True
False
Statement:1 At the same time, we should keep in mind that the data which we collect is open-sourced and not someone’s property.
Statement 2: Extracting private data can be an offence.
Statement 1 is True
Statement 2 is True
Statement 1 and 2 both are True
None of these statements are True
What is SDG #11?
Clean Water & Sanitation
Sustainable Cities & Communities
Life Below Water
Partnerships for the Goals
Equality issues are specifically mentioned in how many of the Sustainable Development Goals?
SDGs 4, 5 and 10
SDGs 4, 10 and 15
SDGs 4, 5 and 9
SDGs 5, 10 and 15
How can you tell that someone is living in poverty?
The person does not have a smartphone.
The person is not able to fulfill their basic needs including food health care and education among others.
The person is not well dressed.
Spot the wrong answer: Clean Energy can be produced with _____
Coal
Waves
Sun
Wind
What is a sustainable factory?
A factory that has been built long ago and you still functioning.
A factory that produces toxic waste.
A factory that causes no damage to the environment.
What is a renewable energy?
A brand of energy drink.
Energy generated from natural resources such as sunlight and wind.
A source of energy which is renewable subscription fee.
What is over fishing?
Eating too much fish and getting sick .
Taking more fish out of the sea than can be replaced naturally.
Overfeeding fish so they get bigger
What does "Economic Growth" mean?
You save more money every month
Prices are increasing
An increase in the value of goods and services produced by a country
What is the target year for the SDG's?
2040
2035
2030
2025
Who created the SDG's?
The United States
The United Nations
The United Kingdom
The European Union
What is the main, generalized purpose of the SGDs?
Make a plan of action for people, planet, and prosperity
Develop a plan to make the world free of all wars
Make a new world power ruled by the United States
Develop a new strategy to combat food waste
Which of the following is not a SDG?
Zero Hunger
No Poverty
Quality Education
No Racism
When were the Sustainable Development Goals signed?
2005
2009
2015
2020
Which SDG is about Climate Change?
17
13
7
3
What is SDG #11?
Clean Water & Sanitation
Sustainable Cities & Communities
Life Below Water
Partnerships for the Goals
Which of the following is not type of learning?
Semi-unsupervised Learning
Unsupervised Learning
Supervised Learning
Reinforcement Learning
The data is split according to certain requirements
SVM
Sentimental Analysis
Decision Tree
Logistic Regression
It is a process of dividing a node into two or more sub-nodes.
Un Splitting
Splitting
Pruning
Gini
When a sub-node splits into further sub-nodes, then it is called
Decision Node
Splitting
Pruning
Terminal Node
Nodes that can't be splitted are
Decision Nodes
Terminal Nodes
_________ type of model, the algorithm learns from a dataset which is labelled, and the algorithm uses the answer keys to evaluate its accuracy on the training data.
Supervised learning
UnSupervised learning
Reinforcement learning
In this type of model, the algorithms work towards accomplishing the goal or try to improve the performance in a particular task. This is used in gaming.
Reinforcement learning
Supervised Learning
UnSupervised Learning
•In this type of model, the algorithm learns and makes sense by extracting features/patterns from the unlabelled dataset provided (The system will evaluate by itself)
Unsupervised learning
supervised learning
Reinforcement learning
Every Artificial Neural must have at least ______
two layers.
three layers.
four layers.
Neural Network is type of ........... which is type of machine learning
natural language processing
deep learning
speech
robotics
Neural network is inspired by .......
Human heart
Human lungs
Human brain
human eyes
Normal it projects end with __
Evaluation
Deployment
Modelling
Testing
