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CIT 486 FINAL EXAM NEW VERSION (2025/2026) ALL COMPLETE QUESTIONS AND DETAILED CORRECT ANSWERS ACTUAL REAL EXAM |EXPERT VERIFIED FOR GUARANTEED PASS| TOP RATED A+

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Pass the CIT 486 exam 2025/2026 with confidence. This resource features questions in areas like: network hardware, protocols, IP addressing, subnetting, and troubleshooting basics. This study guide is perfect for IT and CIT students preparing for exams or certifications.

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CIT 486 FINAL EXAM NEW VERSION (2025/2026)
ALL COMPLETE QUESTIONS AND DETAILED
CORRECT ANSWERS ACTUAL REAL EXAM
Page | 1
|EXPERT VERIFIED FOR GUARANTEED PASS|
TOP RATED A+.
CIT 486
Pass the CIT 486 exam 2025/2026 with confidence. This resource features
questions in areas like: network hardware, protocols, IP addressing,
subnetting, and troubleshooting basics. This study guide is perfect for IT
and CIT students preparing for exams or certifications.




The following code creates a dictionary with the country-name keys
'Finland', 'South Africa' and 'Nepal' and their corresponding Internet
country code values 'fi', 'za' and 'np':
country_codes = {'Finland', 'fi', 'South Africa', 'za', 'Nepal', 'np'} .....
ANSWER ......False


Two sets are disjoint if they do not have any common elements. You can
determine this with the set type's isdisjoint method. What values are
actually displayed for ??? in Out[1] and Out[2]:
In [1]: {1, 3, 5}.isdisjoint({4, 6, 1})
Out [1]: ???
In [2]: {1, 3, 5}.isdisjoint({2, 4, 6})
Out [2]: ???

, False, False
False, True
True, False
Page | 2


True, True ..... ANSWER ......False, True


Assuming the following array grades:
grades = np.array([[87, 96, 70], [100, 87, 90], [94, 77, 90], [100, 81, 82]])
To select and return the second and fourth rows of the grades array,
replace ??? with:


In[1]: ??? ..... ANSWER ......grades [[1, 3]]


What is the output of the following:
In[1]: {1, 2, 4, 8, 16} & {1, 4, 16, 64, 256} ..... ANSWER ......{1, 4, 16}


What is the output of the following code:
In[1]: {1, 2, 4, 8, 16} - {1, 4, 16, 64, 256} ..... ANSWER ......{2, 8}


Sets may contain only immutable objects, like strings, ints, floats and
tuples that contain only immutable elements.
True
False ..... ANSWER ......True

, Which of the following statements is false?
You can create an array from a range of elements, then use array method
Page | 3
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. ..... ANSWER ......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.


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. ..... ANSWER ......Method clean deletes the dictionary's
key-value pairs:


Which of the following statements is false?
NumPy arrays use only zero-based integer indexes.

, Like arrays, Series use only zero-based integer indexes.
Series may have missing data, and many Series operations ignore missing
data by default.
Page | 4
All of the above statements are true. ..... ANSWER ......Like arrays,
Series use only zero-based integer indexes.


Which of the following would be displayed where we wrote ??? by
Out[3]?
In [1]: numbers = list(range(3)) + list(range(5))
In [2]: numbers
Out[2]: [0, 1, 2, 0, 1, 2, 3, 4]
In [3]: set(numbers)
Out[3]: ??? ..... ANSWER ......{0, 1, 2, 3, 4}


Assuming the following DataFrame grades:
Wally Eva Sam Katie Bob
Test1 87 100 94 100 83
Test2 96 87 77 81 65
Test3 70 90 90 82 85
Which of the following statements is false?
One benefit of pandas is that you can quickly and conveniently look at
your data in many different ways, including selecting portions of the data.
The following expression selects 'Eva' column and returns it as a Series:
grades['Eva']

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