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WGU Foundations of Computer Science Sample Questions:

1. How is a NumPy array named data with 6 elements reshaped into a 2x3 array?

A) np_reshape(list, (2, 3))
B) data_reshape[2, 3]
C) np.reshape(data, (2, 3))
D) data.set_shape(2, 3)

2. What is the main advantage of using NumPy arrays over regular Python lists for data analysis?

A) NumPy arrays can bring different types into the array at the same time.
B) NumPy arrays can concatenate lists by default.
C) NumPy arrays can only hold elements of the same type.
D) NumPy arrays can perform calculations over entire collections of values.

3. What code would print a subarray of the first 5 elements in numpy_array?

A) print(numpy_array[:5])
B) print(numpy_array.get(5, 1))
C) print(numpy_array[1:5])
D) print(numpy_array.get(0, 5))

4. How can a user subset a NumPy array bmi to only include values over 23?

A) bmi[bmi > 23]
B) bmi.select(23)
C) bmi.get_values(>23)
D) bmi.where(bmi > 23)

5. What is the expected output of numpy_array[1]?

A) The first element of the array
B) The second element of the array
C) An error message in the array
D) A display of the entire array

Solutions: