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CIT 486 Final Exam (Actual Exam 2026) | Complete Questions and Correct Answers | Graded A+ | Verified Answers | Brand New Version!

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The CIT 486 Final Exam PDF is an invaluable resource for students preparing for their final examinations in 2026. This document features a comprehensive collection of questions and verified answers, each meticulously graded with an A+ rating. The exam material covers a wide range of topics pertinent to computer information technology, making it an essential study guide for students seeking success. One of the highlights of this document is its focus on dictionary operations in Python. Students will learn about key-value pair manipulations, utilizing methods like del and pop, and understanding the use of operators such as in and not in. The guide also discusses array operations with NumPy, emphasizing the handling of large arrays and element-wise operations.

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Uploaded on
August 30, 2025
Number of pages
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Written in
2025/2026
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CIT 486 Final Exam (Actual Exam 2026) | Complete
Questions and Correct Answers | Graded A+ |
Verified Answers | Brand New Version!

Which of the following statements is false?
-You can delete a key-value pair from a dictionary with the del statement
-You can remove a key-value pair with the dictionary method pop, which returns
the value for the removed key.
-Method clean deletes the dictionary's key-value pairs:
-Operators in and not in can determine whether a dictionary contains a specified
key. ---------CORRECT ANSWER-----------------Method clean deletes the dictionary's
key-value pairs:




Which of the following statements is true with respect to displaying an array of
1000 items or more? ---------CORRECT ANSWER-----------------NumPy drops the
middle rows, middle columns or both from the output.




If numbers is a five-element integer array, numbers * 2 is equivalent to:
numbers * [2, 2, 2, 2, 2] ---------CORRECT ANSWER-----------------True




Element-wise operations are applied to every array element, so given an integer
array named numbers, the expression
numbers * 2

,multiplies every element by 2, and the expression
numbers ** 3
cubes every element. ---------CORRECT ANSWER-----------------True




For a two-dimensional array grades in which each row represents one student's
grades on several exams, we can calculate each student's average grade with:
grades.mean(axis=1) ---------CORRECT ANSWER-----------------True




The array methods sum, min, max, mean, std (standard deviation) and var
(variance) are each functional-style programming reductions. ---------CORRECT
ANSWER-----------------True




Assuming the following array grades:
grades = np.array([[87, 96, 70], [100, 87, 90], [94, 77, 90], [100, 81, 82]])
To select multiple sequential rows, use slice notation, as in
grades[0:2]
and to select multiple non-sequential rows, use a list of row indices, as in
grades[[1, 3]] ---------CORRECT ANSWER-----------------True




We use array method ________ to produce two-dimensional arrays from one-
dimensional ranges. ---------CORRECT ANSWER-----------------reshape

,The following creates an array from a _________-row-by-_________-column list:
np.array([[1, 2, 3], [4, 5, 6]]) ---------CORRECT ANSWER-----------------two three




Assume the following array definitions:
import numpy as npintegers = np.array([[1, 2, 3], [4, 5, 6]])floats = np.array([0.0,
0.1, 0.2, 0.3, 0.4])


The attribute contains an array's number of dimensions and the attribute contains
a specifying an array's dimensions: ---------CORRECT ANSWER-----------------ndim,
shape, tuple




Which of the following statements is false?
-You can create an array from a range of elements, then use array method
reshape to transform the one-dimensional array into a multidimensional array.
-The following code creates an array containing the values from 1 through 20,
then reshapes it into four rows by five columns:
np.arange(1, 21).reshape(4, 5)
-A 24-element one-dimensional array can be reshaped into a 2-by-12, 8-by-3 or 4-
by-8 array, and vice versa.
-All of the above are true. ---------CORRECT ANSWER-----------------All of the above
are true.

, The following session calls the string object s's object's lower and upper methods,
which produce new strings containing all-lowercase and all-uppercase versions of
the original string, leaving s unchanged:
In [1]: s = 'Hello'In [2]: s.lower() # call lower method on string object sOut[2]:
'hello'In [3]: s.upper()Out[3]: 'HELLO'
After the preceding session, s contains 'HELLO'. ---------CORRECT ANSWER-----------
------False




The following code produces different values are likely to be displayed each time
you run the code:
import randomfor roll in range(10):print(random.randrange(1, 6), end=' ') ---------
CORRECT ANSWER-----------------True




Based on the following function definition that can receive an arbitrary number of
arguments:
In [1]: def average(*args):...: return sum(args) / len(args)...:
which of the following statements is false? ---------CORRECT ANSWER-----------------
All of the above are true.




The value of the expression of:
In [1]: floor(-3.14159) ---------CORRECT ANSWER------------------4.0




Which of the following statements is false?

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