Students find these Class 9 AI MCQ Chapter 1 Introduction to AI Class 9 MCQ Online Test with Answers helpful for self-assessment and preparation.
Class 9 Introduction to AI MCQ
MCQ on Introduction to AI Class 9
Class 9 Introduction to AI MCQ – Introduction to AI MCQ Class 9
Multiple Choice Questions
Question 1.
Which of the following intelligence types have been implemented through Artificial Intelligence?
(a) Ability to use language for conversing
(b) Ability to recognise objects
(c) Ability to learn from experience
(d) All of the above
Answer:
(d) All of the above
Question 2.
When was the term “Artificial Intelligence” first coined?
(a) 1956
(b) 1965
(c) 1970
(d) 1980
Answer:
(a) 1956
Question 3.
Who is considered the “Father of Artificial Intelligence”?
(a) John McCarthy
(b) Alan Turing
(c) Marvin Minsky
(d) Herbert Simon
Answer:
(a) John McCarthy
Question 4.
Which domain of Al involves teaching computers to learn from data?
(a) Machine Learning
(b) Natural Language Processing
(c) Robotics
(d) Computer Vision
Answer:
(a) Machine Learning
Question 5.
World’s first robot citizen is
(a) Sophia
(b) Lily
(c) Eliza
(d) Tay
Answer:
(a) Sophia
Question 6.
Which Al domain focuses on enabling machines to comprehend, interpret, and generate human language?
(a) Machine Learning
(b) Natural Language Processing
(c) Robotics
(d) Expert System
Answer:
(b) Natural Language Processing
Question 7.
What was the reality game show in which IBM Watson beat the existing champions?
(a) The Price of Right
(b) Jeopardy!
(c) Who Wants to Be a Millionaire?
(d) Wheel of Fortune
Answer:
(b) Jeopardy!
Question 8.
Which is an advantage of AI in healthcare?
(a) Reduced human errors in diagnostics
(b) High cost of implementation
(c) Limited access to healthcare facilities
(d) Increased doctor-patient interaction time
Answer:
(a) Reduced human errors in diagnostics
Question 9.
What is a potential disadvantage of AI in employment?
(a) Increased productivity
(b) Job displacement due to automation
(c) Enhanced workplace safety
(d) Equal job opportunities for all
Answer:
(b) Job displacement due to automation
Question 10.
Which Al application assists in optimizing logistics and supply chain operations?
(a) Healthcare
(b) Agriculture
(c) Retail
(d) Transportation
Answer:
(d) Transportation
Question 11.
Mr. Dinesh Patel, a computer science teacher at kendriya vidyalya, has developed an educational humanoid namely Shalu, which can converse in 47 languages. Which AI technology helps Shalu, the robot, converse with us humans?
(a) NLP
(b) CV
(c) ML
(d) Data Science
Answer:
(a) NLP
Question 12.
Which sector uses AI for weather forecasting and climate modeling?
(a) Environmental Sciences
(b) Manufacturing
(c) Aerospace
(d) Retail
Answer:
(a) Environmental Sciences
Question 13.
Lavanaya is an environmental scientist developing an Al-powered system to predict weather patterns. At the initial stages, the system’s forecasts were inconsistent and often inaccurate. As it processed more historical weather data and incorporated real-time information, its predictive accuracy significantly increased. Which technology primarily contributed to this improvement?
(a) Natural Language Processing (NLP)
(b) Computer Vision
(c) Machine Learning (ML)
(d) All of the above
Answer:
(c) Machine Learning (ML)
Question 14.
Which industry applies AI for enhancing customer service through automated responses?
(a) Hospitality
(b) Construction
(c) Mining
(d) Telecommunications
Answer:
(d) Telecommunications
Question 15.
Heena is a passionate chef who recently started experimenting with a smart cooking assistant. Initially, her assistant struggled to suggest accurate ingredient substitutions when certain items were unavailable. However, after a few months of continuous usage and updates, the assistant began offering more precise and fitting alternatives for ingredients. What type of technology(ies) likely contributed to the improvement in the assistant’s ability to suggest better ingredient substitutions over time?
(a) Natural Language Processing (NLP)
(b) Machine Learning (ML)
(c) Data Analytics
(d) All of the above
Answer:
(d) All of the above
Question 16.
You’re a customer service manager for a growing tech startup. With an influx of inquiries, your team struggles to handle the volume efficiently. Clients often face delays in receiving support, impacting customer satisfaction.
To streamline customer support and enhance responsiveness, which Al tool should you integrate into your system?
(a) Robotics
(b) Chatbots
(c) Natural Language Processing
(d) Computer Vision
Answer:
(b) Chatbots
Question 17.
Which Al application focuses on understanding and generating human-like speech by machines?
(a) Machine Translation
(b) Natural Language Processing
(c) Chatbots
(d) Speech Recognition
Answer:
(d) Speech Recognition
Question 18.
Which industry uses Al for predictive maintenance of machinery and equipment?
(a) Healthcare
(b) Agriculture
(c) Manufacturing
(d) Retail
Answer:
(c) Manufacturing
Question 19.
As a researcher, you’re exploring innovative approaches to expedite the discovery of new medications for cancer treatment.
To enhance drug discovery and development for cancer treatment, which field of Al algorithms would you use to analyze vast datasets and identify potential therapeutic compounds?
(a) Healthcare
(b) Education
(c) Entertainment
(d) Aerospace
Answer:
(a) Healthcare
Question 20.
Which Al application involves the simulation of intelligent behaviour in robots to perform tasks?
(a) Natural Language Processing
(b) Robotics
(c) Computer Vision
(d) Machine Learning
Answer:
(b) Robotics
Question 21.
Which industry extensively uses Al for personalized recommendations and content curation?
(a) Healthcare
(b) E-commerce
(c) Agriculture
(d) Manufacturing
Answer:
(b) E-commerce
Question 22.
Which Al application focuses on training machines to understand and interpret visual data?
(a) Machine Translation
(b) Natural Language Processing
(c) Computer Vision
(d) Speech Recognition
Answer:
(c) Computer Vision
Question 23.
Priya designed a sentiment analysis system for social media posts. Initially, the system had difficulty distinguishing between subtle emotions like sarcasm and irony. However, with continuous exposure to diverse text inputs, its accuracy in detecting nuanced sentiments notably improved.
Which technology significantly contributed to this enhancement?
(a) Natural Language Processing (NLP)
(b) Computer Vision
(c) Machine Learning (ML)
(d) All of the above
Answer:
(a) Natural Language Processing (NLP)
Question 24.
Kriti created a facial recognition software that initially had difficulty recognizing faces in low-light conditions. As it processed more diverse images and lighting scenarios, its accuracy under challenging lighting environments notably increased. Which technology primarily contributed to this enhancement?
Competency Based Ques.
(a) Natural Language Processing (NLP)
(b) Computer vision
(c) Machine Learning (ML)
(d) All of the above
Answer:
(d) All of the above
Statement Based Questions
Question 1.
Statement 1 Narrow AI, also known as Weak AI, is designed to perform a specific task or solve a narrow problem.
Statement 2 Narrow AI and General AI are terms used interchangeably to describe Al systems that can perform any intellectual task a human can.
(a) Both Statement 1 and Statement 2 are correct.
(b) Both Statement 1 and Statement 2 are incorrect.
(c) Statement 1 is correct but Statement 2 is incorrect.
(d) Statement 1 is incorrect but Statement 2 is correct.
Answer:
(c) Statement 1 is correct but Statement 2 is incorrect.
Question 2.
Statement 1 Al finds applications in domains like healthcare, finance, entertainment, and agriculture.
Statement 2 Al is limited to only two domains technology and robotics – and doesn’t extend its applications beyond these areas.
(a) Both Statement 1 and Statement 2 are correct.
(b) Both Statement 1 and Statement 2 are incorrect.
(c) Statement 1 is correct but Statement 2 is incorrect.
(d) Statement 1 is incorrect but Statement 2 is correct.
Answer:
(c) Statement 1 is correct but Statement 2 is incorrect.
Question 3.
Statement 1 Narrow Al focuses on performing specific tasks and is what we predominantly see in use today.
Statement 2 General AI possesses human-like intelligence and capabilities across various tasks.
(a) Both Statement 1 and Statement 2 are correct.
(b) Both Statement 1 and Statement 2 are incorrect.
(c) Statement 1 is correct but Statement 2 is incorrect.
(d) Statement 1 is incorrect but Statement 2 is correct.
Answer:
(a) Both Statement 1 and Statement 2 are correct.
Question 4.
Statement 1 Machine Learning is a subset of AI that focuses on algorithms and statistical models enabling systems to perform tasks without explicit instructions.
Statement 2 Natural Language Processing (NLP) is not considered a domain of Artificial Intelligence.
(a) Both Statement 1 and Statement 2 are correct.
(b) Both Statement 1 and Statement 2 are incorrect.
(c) Statement 1 is correct but Statement 2 is incorrect.
(d) Statement 1 is incorrect but Statement 2 is correct.
Answer:
(c) Statement 1 is correct but Statement 2 is incorrect.
Question 5.
Statement 1 Al finds applications in autonomous vehicles, healthcare diagnostics, and personalized recommendations in various industries.
Statement 2 AI has limited real-world applications, mainly confined to the tech industry.
(a) Both Statement 1 and Statement 2 are correct.
(b) Both Statement 1 and Statement 2 are incorrect.
(c) Statement 1 is correct but Statement 2 is incorrect.
(d) Statement 1 is incorrect but Statement 2 is correct.
Answer:
(c) Statement 1 is correct but Statement 2 is incorrect.
Assertion & Reason Based Questions
Question 1.
Assertion Computer Vision is not a domain of Al that enables machines to interpret visual information from the real world.
Reason It uses algorithms to process, analyze, and understand visual data from images or videos.
(a) Both Assertion and Reason are true and Reason is the correct explanation of Assertion.
(b) Both Assertion and Reason are true and Reason is not the correct explanation of Assertion.
(c) Assertion is true but Reason is false.
(d) Assertion is false but Reason is true.
Answer:
(d) Assertion is false but Reason is true.
Question 2.
Assertion Al has widespread applications across diverse fields.
Reason AI applications span industries like healthcare, finance, automotive, and entertainment, among others.
(a) Both Assertion and Reason are true and Reason is the correct explanation of Assertion.
(b) Both Assertion and Reason are true and Reason is not the correct explanation of Assertion.
(c) Assertion is true but Reason is false.
(d) Assertion is false but Reason is true.
Answer:
(a) Both Assertion and Reason are true and Reason is the correct explanation of Assertion.
Question 3.
Assertion Al helps in predicting future events based on past data.
Reason AI uses predictive analysis by analyzing historical information to forecast trends.
(a) Both Assertion and Reason are true and Reason is the correct explanation of Assertion.
(b) Both Assertion and Reason are true and Reason is the not correct explanation of Assertion.
(c) Assertion is true but Reason is false.
(d) Assertion is false but Reason is true.
Answer:
(a) Both Assertion and Reason are true and Reason is the correct explanation of Assertion.
Question 4.
Assertion Al is crucial in healthcare for early disease diagnosis.
Reason Al can process vast amounts of medical data and identify patterns that humans might miss.
(a) Both Assertion and Reason are true and Reason is the correct explanation of Assertion.
(b) Both Assertion and Reason are true and Reason is the not correct explanation of Assertion.
(c) Assertion is true but Reason is false.
(d) Assertion is false but Reason is true.
Answer:
(a) Both Assertion and Reason are true and Reason is the correct explanation of Assertion.
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