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3. Which industry uses Data Science for Fraud Detection?

a. Entertainment b. Banking
c. Agriculture d. Sports
4. What is the primary function of a Price Comparison Website?

a. Sell products b. Compare prices, features, and reviews
c. Display random prices d. Share cooking recipes
5. ________________assembly relies on developers to write and deploy code.

a. High code b. Low code
c. No code d. None of these
6. _____________ is not the feature of No Code approach to AI.

a. Visual tools b. Highly expensive
c. Code free d. Drag and drop
7. Which of the following measures represents the most frequent value in a dataset?

a. Mean b. Median
c. Mode d. Variance
8. Which of the following functions is used in Pandas to read a CSV file?

a. read_csv() b. load_csv()
c. import_csv() d. open_csv()

9. Which of the following best describes No-Code AI?
a. Requires knowledge of machine learning algorithms

b. Uses drag-and-drop functi onality to build AI models
c. Is only for advanced programmers

d. Relies on custom-writt en code for model building
10. Which widget in Orange is used for reading data from an external file?
a. Select Rows b. File

c. Test & Score d. Scatter Plot

Answers
1. (b) 2. (a) 3. (b) 4. (b) 5. (a)
6. (b) 7. (c) 8. (a) 9. (b) 10. (b)

B. Fill in the blanks.
1. The primary programming language widely used in Data Science is __________.
2. In statistics, the ‘median’ represents the __________ in a dataset.

3. The ‘head()’ function in Pandas is used to display the top rows of a __________.
4. A price comparison website’s primary function is to compare __________, __________, and __________.
5. NumPy is a fundamental Python library for __________ and __________ operations.
6. The ________ of a dataset is calculated by summing all values and dividing by the total count of values.

7. The Pandas data structure used for handling labeled, two-dimensional data is called a ________.

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