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  • Artificial Intelligence & Machine Learning MCQs (AI/ML) | Topic-wise Questions + PYQs

Q: 1 Which of the following is not a type of artificial intelligence agent?

  1. Simple AI Agent

  2. Unity Based AI Agent

  3. Learning AI Agent

  4. Goal Based AI Agent

[ Option B ]

In Artificial Intelligence, an agent is an entity that perceives its environment through sensors and acts upon that environment using actuators. 
Common types of AI agents include Simple Reflex Agents, Model-Based Agents, Goal-Based Agents, Utility-Based Agents, and Learning Agents.
A Learning AI Agent improves its performance by learning from past experiences, and a Goal-Based AI Agent selects actions to achieve specific goals. However, Unity Based AI Agent is not a recognized type of AI agent in artificial intelligence theory.

TYPE OF AI AGENTDESCRIPTION
Simple Reflex AgentActs only based on the current percept (input) using condition–action rules. Does not consider past states.
Model-Based AgentMaintains an internal model of the environment to handle partially observable situations.
Goal-Based AgentChooses actions that help achieve specific goals using search or planning.
Utility-Based AgentSelects actions based on a utility function to achieve the best possible outcome among alternatives.
Learning AgentImproves its performance over time by learning from experience and feedback.

Q: 2 A decision tree in AI can be used for

  1. Only classification tasks

  2. Only regression tasks

  3. Both classification and regression tasks

  4. Neither classification nor regression tasks

[ Option C ]

A Decision Tree is a supervised machine learning algorithm used for predictive modeling. It represents decisions and their possible outcomes in the form of a tree structure, where internal nodes represent tests on attributes, branches represent outcomes of the tests, and leaf nodes represent final predictions.
Decision trees can be used for classification tasks, where the output is a discrete class label (spam or not spam), and for regression tasks, where the output is a continuous numerical value (predicting house prices). Therefore, decision trees are suitable for both classification and regression problems.

Q: 3 Which of the following is advantage of Artificial Intelligence?

  1. Identifying a business trend to help in informed decision making

  2. Helps in analysis of cyber security incidents

  3. Based on learning capability, solves a pattern recognition problem

  4. All of the above

[ Option D ]

Artificial Intelligence (AI) provides several advantages in different fields. It can identify business trends and patterns in large datasets, which helps organizations make better and informed decisions. 
AI is also widely used in cybersecurity, where it helps analyze and detect unusual activities or security incidents quickly. 
In addition, AI systems have learning capabilities, allowing them to recognize patterns and solve complex problems such as image recognition, speech recognition, and data classification.

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