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Chapter 6 of 10
Important Questions

Data Preparation — Important Questions

ICSE · Class 12 · Artificial Intelligence

70 important questions from Data Preparation for ICSE Class 12 Artificial Intelligence, with answers. Written for the board exams 2027.

70 questions40 flashcards5 concepts

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70 Questions·
multiple choicetrue falsemultiple correct

Important Questions from Data Preparation

1multiple choice
1 marks

Which NumPy attribute gives the number of dimensions of an array?

Show answer

ndarray.ndim

ndarray.ndim returns the number of dimensions of the array.

2multiple choice
1 marks

Which NumPy attribute gives the sequence of integers showing the size of the array in each dimension?

Show answer

ndarray.shape

ndarray.shape tells the size of the array in each dimension.

3multiple choice
1 marks

Which attribute gives the total number of elements in a NumPy array?

Show answer

ndarray.size

ndarray.size gives the total number of elements in the array.

4multiple choice
1 marks

Which statement about NumPy array indexing is correct?

Show answer

Array indexing starts from 0 by default.

NumPy uses zero based indexing, so the first element has index 0.

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What are the important topics in Data Preparation for ICSE Class 12 Artificial Intelligence?
Key topics in Data Preparation include NumPy for Numerical Computation, NumPy Attributes and Operations, Pandas for Tabular Data, Pandas Series and DataFrame. Study these first, then practise questions on each for the ICSE Class 12 board exam.
How many important questions are there in Data Preparation?
Super Tutor has 70 practice questions for Data Preparation, including multiple choice, true false, multiple correct questions. A sample with answers is on this page.

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Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

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