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Easy · Level 2 · machine learning,artificial intelligence,Unit 6 Machine Learning Algorithms,Part B: Subject Specific Skills,part b subject specific skills,Class 9 MCQView options
Learning patterns from data and experience
Following only fixed instructions for every task
Merely storing data without analysing it
Assembling the physical parts of a computer
Easy · Level 2 · artificial intelligence,classification,machine learning,image classification,Unit 6 Machine Learning Algorithms,Part B: Subject Specific Skills,part b subject specific skills,Class 9 MCQView options
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चित्रों को पशु और पक्षी श्रेणियों में बाँटना
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Easy · Level 3 · artificial intelligence,machine learning,Unit 6 Machine Learning Algorithms,Part B: Subject Specific Skills,part b subject specific skills,Class 9 MCQView options
To decorate the machine
To help the machine recognize patterns
To reduce the use of paper
To empty the room
Easy · Level 3 · artificial intelligence,ai training,Unit 6 Machine Learning Algorithms,Part B: Subject Specific Skills,part b subject specific skills,Class 9 MCQView options
Enabling a machine to learn patterns from examples or data
Assembling the computer hardware components
Permanently deleting the training data
Preventing the machine from receiving any input
Easy · Level 4 · artificial intelligence,machine learning,Unit 6 Machine Learning Algorithms,Part B: Subject Specific Skills,part b subject specific skills,Class 9 MCQView options
Learning patterns from data
Repeating only fixed instructions without change
Requiring immediate human permission for every decision
Giving random answers without data
Easy · Level 3 · artificial intelligence,training data,Unit 6 Machine Learning Algorithms,Part B: Subject Specific Skills,part b subject specific skills,Class 9 MCQView options
To teach an AI model to recognize patterns
To increase a computer's physical memory
To increase internet connection speed
To change the function of keyboard keys
Question 1EasyLevel 2
Machine learning is mainly concerned with what?
Correct answer: A
Machine learning enables a computer system to find patterns in data or examples and use them to make predictions or decisions on new inputs. In traditional rule-based programming, instructions are explicitly written for each situation. Merely storing data and assembling hardware do not constitute machine learning.
Which is a correct example of classification in Artificial Intelligence?
Correct answer: C
Classification is a machine-learning task in which data is assigned to one of two or more predefined labels. Sorting pictures into animal and bird categories is classification because each picture receives a category based on its features. Lifting a chair, drinking water, and hammering a nail are physical activities; they do not involve assigning data to labels. Therefore, option C is the only suitable example.
Why is an Artificial Intelligence system given examples during learning?
Correct answer: B
Examples show the system how different inputs may be related to categories, outcomes, or labels. By examining many examples, a learning system can discover useful patterns and apply them to new inputs. Decorating a machine, reducing paper, or emptying a room has no connection with the purpose of training examples.
What is the main purpose of training in Artificial Intelligence?
Correct answer: A
During training, an AI model processes examples and adjusts its internal parameters so that it can recognise useful patterns or relationships. Later, it can use what it learned to classify or predict new inputs. Assembling hardware, deleting data, or blocking inputs does not teach the model how to perform its task.
Which characteristic of an Artificial Intelligence system enables it to learn from examples and make decisions about new inputs?
Correct answer: A
Learning patterns from training examples allows an AI system to generalise: it can use what it learned from known cases to classify or estimate outcomes for new cases. A fixed rule program does not learn unless it is changed, random answers are not learning, and human approval is a control method rather than the learning characteristic itself.
What is training data mainly used for in Artificial Intelligence?
Correct answer: A
Training data contains examples such as images, text, measurements, or labelled records. The model uses these examples to learn relationships and patterns that can later support classification or prediction on new data. Training data does not physically expand memory, speed up the internet, or change keyboard functions.
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