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B. Fill in the blanks.
1. AI uses data, experience, and patterns to make or perform tasks.

2. The final stage where the model is used in the real world is called .
3. Data based on nature is classified into Data and Data.
4. The opposite of AND logical gate is gate.

5. In , the value of each digit depends on its position in the number.
6. A is the smallest unit of a program that has a meaning.
7. A loop is used to execute multiple times.
8. The input() function in Python returns the user input as a .

9. The range function has 3 arguments, , stop and .
10. The function removes and returns the element at the specified position.
C. State whether these statements are true or false.

1. Discrete data is often used to count items or occurrences.
2. A NOT gate has two inputs and one output.

3. AI in agriculture increases the use of harmful chemicals.
4. AI-powered cameras provide real-time monitoring.

5. XOR gate gives output 1 when both inputs are the same.
6. In Python IDLE, there are four main modes in which you can work.
7. Python source code is freely available and can be modified.

8. print () function auto converts the items to strings.
9. Script mode allows you to enter Python commands directly into the command line shell.

10. Identifier must begin with a letter or an underscore.

SECTION B (Subjective Type Questions)

A. Short answer type questions.
1. Mention the use of AI in e-commerce and shopping.
Ans. AI in e-commerce improves customer experience through personalized product suggestions, pricing
strategies, and virtual try-ons. Myntra uses AI to suggest clothes based on past purchases and trends.

2. What is Data Acquisition in AI projects?
Ans. Data Acquisition involves gathering raw information to support the AI project. The data may be in the
form of numbers, text, pictures, videos, or sounds.
3. What is the purpose of Data Exploration?
Ans. Using visualization tools like charts, graphs, and plots, data can be interpreted more easily. This process
also helps spot unusual data and prepares the ground for better decisions in later stages of the AI
project.
4. Why is the Evaluation stage important?
Ans. The testing phase in the AI project cycle is essential for checking whether the model performs as expected
and meets the set objectives. If the results are unsatisfactory, the model is refined or adjusted.

Basic Concepts of Artificial Intelligence 83