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Ans. Regression
c. A marketing company wants to segment its customer base into distinct groups based on purchasing behaviour for
targeted marketing campaigns. They have a dataset containing information such as purchase history, frequency of
purchases, and amount spent.
Ans. Clustering model
d. A grocery store wants to identify associations between different products purchased by customers to understand
which products are commonly bought together. They have a transaction dataset containing records of items
purchased together during each transaction.
Ans. Association model
Assertion and Reasoning Questions:
Direction: Questions 5-6, consist of two statements – Assertion (A) and Reasoning (R). Answer these questions by
selecting the appropriate option given below:
a. Both A and R are true and R is the correct explanation of A.
b. Both A and R are true but R is not the correct explanation of A.
c. A is true but R is false.
d. A is false but R is true.
5. Assertion (A): Reinforcement Learning is a type of machine learning where a model learns through trial and error to
make the best decisions in a given environment.
Reasoning (R): In Reinforcement Learning, the agent interacts with the environment, receives feedback in the form of
rewards or penalties, and improves its actions based on that feedback.
Ans. a.
6. Assertion (A): The Rule-based Approach is one of the earliest and simplest methods of implementing artificial
intelligence.
Reasoning (R): In the Rule-based Approach, decisions are made based on a set of predefined rules that dictate the
system’s actions.
Ans. a.
Unsolved Questions
SECTION A (Objective Type Questions)
uiz
A. Tick ( ) the correct option.
1. What does Reinforcement Learning aim to maximise?
a. Prediction accuracy b. Clustering efficiency
c. Cumulative rewards d. Data patterns
2. Which algorithm is primarily used in image-related tasks like facial recognition?
a. Regression b. ANN
c. CNN d. Classification
3. Artificial neural networks are inspired by the structure and function of: [CBSE Handbook]
a. The human brain b. Quantum computers
c. Complex mathematical models d. High-speed processors
212 Touchpad Artificial Intelligence (Ver. 3.0)-X

