linkedin Python assessment answers

linkedin Python Methodologies assessment answers

What is the difficulty level for Python Assessment test on LinkedIn?

It’s not very difficult, just some questions about the data structures, collections and generators, read up this previous years questions and answers and you’ll easily pass it.

Quick Tip: 90% of the questions you will have to answer in the LinkedIn Python Assessment test are listed here. Ctrl F and search for the question to get the answer while you appear for your Python Assessment test on LinkedIn.

Q1. What is an
abstract class?

An
abstract class is the name for any class from which you can instantiate an
object.
Abstract
classes must be redefined any time an object is instantiated from them.
Abstract
classes must inherit from concrete classes.
An
abstract class exists only so that other “concrete” classes can
inherit from the abstract class.

Q2. What happens when you use the
build-in function any() on a list?

The any() function will randomly
return any item from the list.
The any() function returns True
if any item in the list evaluates to True. Otherwise, it returns False.
The any() function takes as
arguments the list to check inside, and the item to check for. If
“any” of the items in the list match the item to check for, the
function returns True.
The any() function returns a
Boolean value that answers the question “Are there any items in this
list?”

Q3. What data
structure does a binary tree degenerate to if it isn’t balanced properly?

linked
list
queue
set`
OrderedDict

Q4. What statement
about static methods is true?

Static
methods are called static because they always return None.
Static
methods can be bound to either a class or an instance of a class.
Static
methods serve mostly as utility methods or helper methods, since they
can’t access or modify a class’s state.
Static
methods can access and modify the state of a class or an instance of a
class.

Q5. What are
attributes?

Attributes
are long-form version of an if/else statement, used when
testing for equality between objects.
Attributes
are a way to hold data or describe a state for a class or an instance of a
class.
Attributes
are strings that describe characteristics of a class.
Function
arguments are called “attributes” in the context of class
methods and instance methods.

Q6. What is the
term to describe this code?

count, fruit, price = (2, ‘apple’,
3.5)

tuple
assignment
tuple
unpacking
tuple
matching
tuple
duplication

Q7. What built-in
list method would you use to remove items from a list?

“.delete()”
method
pop(my_list)
del(my_list)
“.pop()”
method

Q8. What is one of
the most common use of Python’s sys library?

to
capture command-line arguments given at a file’s runtime
to
connect various systems, such as connecting a web front end, an API
service, a database, and a mobile app
to
take a snapshot of all the packages and libraries in your virtual
environment
to
scan the health of your Python ecosystem while inside a virtual
environment

Q9. What is the
runtime of accessing a value in a dictionary by using its key?

O(n),
also called linear time.
O(log
n), also called logarithmic time.
O(n^2),
also called quadratic time.
O(1),
also called constant time.

Q10. What is the
correct syntax for defining a class called Game?

class Game:
pass
def Game():
pass
def Game:
pass
class
Game(): pass

Q11. What is the
correct way to write a doctest?

def sum(a, b):

“””

sum(4, 3)

sum(-4, 5)

“””

return a + b

def sum(a, b):

“””

>>> sum(4, 3)

>>> sum(-4, 5)

“””

return a + b

def sum(a, b):

“””

# >>> sum(4, 3)

# 7

# >>> sum(-4, 5)

# 1

“””

return a + b

def sum(a, b):

###

>>> sum(4, 3)

>>> sum(-4, 5)

###

return a + b

Q12. What built-in
Python data type is commonly used to represent a stack?

set
list
None. You can only build a stack
from scratch.
dictionary

Q13. What would
this expression return?

college_years = [‘Freshman’,
‘Sophomore’, ‘Junior’, ‘Senior’]

return list(enumerate(college_years,
2019))

[(‘Freshman’,
2019), (‘Sophomore’, 2020), (‘Junior’, 2021), (‘Senior’, 2022)]
[(2019,
2020, 2021, 2022), (‘Freshman’, ‘Sophomore’, ‘Junior’, ‘Senior’)]
[(‘Freshman’,
‘Sophomore’, ‘Junior’, ‘Senior’), (2019, 2020, 2021, 2022)]
[(2019,
‘Freshman’), (2020, ‘Sophomore’), (2021, ‘Junior’), (2022, ‘Senior’)]

Q14. How does defaultdict work?

defaultdict will automatically
create a dictionary for you that has keys which are the integers 0-10.
defaultdict forces a dictionary to
only accept keys that are of the types specified when you created
the defaultdict (such as string or integers).
If
you try to access a key in a dictionary that doesn’t exist, defaultdict will create a new key
for you instead of throwing a KeyError.
defaultdict stores a copy of a
dictionary in memory that you can default to if the original gets
unintentionally modified.

Q15. What is the
correct syntax for defining a class called “Game”, if it inherits
from a parent class called “LogicGame”?

class
Game.LogicGame(): pass
def
Game(LogicGame): pass
class
Game(LogicGame): pass
def
Game.LogicGame(): pass

Q16. What is the
purpose of the “self” keyword when defining or calling instance
methods?

self means that no other
arguments are required to be passed into the method.
There
is no real purpose for the self method; it’s just
historic computer science jargon that Python keeps to stay consistent with
other programming languages.
self refers to the instance
whose method was called.
self refers to the class
that was inherited from to create the object using self.

Q17. Which of these
is NOT a characteristic of namedtuples?

You
can assign a name to each of the namedtuple members and refer to
them that way, similarly to how you would access keys in dictionary.
Each
member of a namedtuple object can be indexed to directly, just like in a
regular tuple.
namedtuples are just as memory
efficient as regular tuples.
No
import is needed to use namedtuples because they are
available in the standard library.

Q18. What is an
instance method?

Instance
methods can modify the state of an instance or the state of its parent
class.
Instance
methods hold data related to the instance.
An
instance method is any class method that doesn’t take any arguments.
An
instance method is a regular function that belongs to a class, but it must
return None.

Q19. Which choice
is the most syntactically correct example of the conditional branching?

num_people = 5

if num_people > 10:

print(“There is a lot of people in the pool.”)

elif num_people > 4:

print(“There are some people in the pool.”)

elif num_people > 0:

print(“There are a few people in the pool.”)

else:

print(“There is no one in the pool.”)

num_people = 5

if num_people > 10:

print(“There is a lot of people in the pool.”)

if num_people > 4:

print(“There are some people in the pool.”)

if num_people > 0:

print(“There are a few people in the pool.”)

else:

print(“There is no one in the pool.”)

num_people = 5

if num_people > 10:

print(“There is a lot of people in the pool.”)

elif num_people > 4:

print(“There are some people in the pool.”)

elif num_people > 0:

print(“There are a few people in the pool.”)

else:

print(“There is no one in the pool.”)

if num_people > 10;

print(“There is a lot of people in the pool.”)

if num_people > 4:

print(“There are some people in the pool.”)

if num_people > 0:

print(“There are a few people in the pool.”)

else:

print(“There is no one in the pool.”)

Q20. Which
statement does NOT describe the object-oriented programming concept of
encapsulation?

It
protects the data from outside interference.
A
parent class is encapsulated and no data from the parent class passes on
to the child class.
It
keeps data and the methods that can manipulate that data in one place.
It
only allows the data to be changed by methods.

Q21. What is the
purpose of an if/else statement?

An
if/else statement tells the computer which chunk of code to run if the
instructions you coded are incorrect
An
if/else statement runs one chunk of code if all the imports were
successful, and another chunk of code if the imports were not successful
An
if/else statement executes one chunk of code if a condition it true, but a
different chunk of code if the condition is false
An
if/else statement tells the computer which chunk of code to run if the is
enough memory to handle it. and which chunk of code to run if there is not
enough memory to handle it

Q22. What built-in
Python data type is commonly used to represent a queue?

dictionary
set
None. You can only build a stack
from scratch.
list

Q23. What is the
correct syntax for instantiating a new object of the type Game?

my_game =
class.Game()
my_game =
class(Game)
my_game =
Game()
my_game =
Game.create()

Q24. What does the
built-in map() function do?

It
creates a path from multiple values in an iterable to a single value.
It
applies a function to each item in an iterable and returns the value of
that function.
It
converts a complex value type into simpler value types.
It
creates a mapping between two different elements of different iterables.

Q25. If you don’t
explicitly return a value from a function, what happens?

The
function will return a RuntimeError if you don’t return a value.
If
the return keyword is absent, the function will return None.
If
the return keyword is absent, the function will return True.
The
function will enter an infinite loop because it won’t know when to stop
executing its code.

Q26. What is the purpose of the pass statement in
Python?

It
is used to skip the yield statement of a
generator and return a value of None.
It
is a null operation used mainly as a placeholder in functions, classes,
etc.
It
is used to pass control from one statement block to another.
It
is used to skip the rest of a while or for loop and return to the
start of the loop.

Q27. What is the
term used to describe items that may be passed into a function?

arguments
paradigms
attributes
decorators

Q28. Which
collection type is used to associate values with unique keys?

slot
dictionary
queue
sorted list

Q29. When does a
for loop stop iterating?

when
it encounters an infinite loop
when
it encounters an if/else statement that contains a break keyword
when
it has assessed each item in the iterable it is working on or a break keyword
is encountered
when
the runtime for the loop exceeds O(n^2)

Q30. Assuming the
node is in a singly linked list, what is the runtime complexity of searching
for a specific node within a singly linked list?

The
runtime is O(n) because in the worst case, the node you are searching for
is the last node, and every node in the linked list must be visited.
The
runtime is O(nk), with n representing the number of nodes and k representing
the amount of time it takes to access each node in memory.
The
runtime cannot be determined unless you know how many nodes are in the
singly linked list.
The
runtime is O(1) because you can index directly to a node in a singly
linked list.

Q31. Given the
following three list, how would you create a new list that matches the desired
output printed below?

fruits = [‘Apples’, ‘Oranges’,
‘Bananas’]

quantities = [5, 3, 4]

prices = [1.50, 2.25, 0.89]

#Desired output

[(‘Apples’, 5, 1.50),

(‘Oranges’, 3, 2.25),

(‘Bananas’, 4, 0.89)]

output = []

fruit_tuple_0 = (first[0],
quantities[0], price[0])

output.append(fruit_tuple)

fruit_tuple_1 = (first[1],
quantities[1], price[1])

output.append(fruit_tuple)

fruit_tuple_2 = (first[2],
quantities[2], price[2])

output.append(fruit_tuple)

return output

i = 0

output = []

for fruit in fruits:

temp_qty = quantities[i]

temp_price = prices[i]

output.append((fruit, temp_qty, temp_price))

i += 1

return output

groceries = zip(fruits, quantities,
prices)

return groceries

>>> [

(‘Apples’, 5, 1.50),

(‘Oranges’, 3, 2.25),

(‘Bananas’, 4, 0.89)

]

i = 0

output = []

for fruit in fruits:

for qty in quantities:

for price in prices:

output.append((fruit, qty, price))

i += 1

return output

Q32. What happens
when you use the built-in function all() on a list?

The all() function returns a
Boolean value that answers the question “Are all the items in this
list the same?
The all() function returns True
if all the items in the list can be converted to strings. Otherwise, it
returns False.
The all() function will return
all the values in the list.`
The all() function returns True
if all items in the list evaluate to True. Otherwise, it returns False.

Q33. What is the
correct syntax for calling an instance method on a class named Game?

(Answer format may vary. Game and roll (or dice_roll) should each be
called with no parameters.)

>>> dice = Game()

>>> dice.roll()

>>> dice = Game(self)

>>> dice.roll(self)

>>> dice = Game()

>>> dice.roll(self)

>>> dice = Game(self)

>>> dice.roll()

Q34. What is the
algorithmic paradigm of quick sort?

backtracking
dynamic
programming
decrease
and conquer
divide
and conquer

Q35. What is
runtime complexity of the list’s built-in .append() method?

O(1),
also called constant time
O(log
n), also called logarithmic time
O(n^2),
also called quadratic time
O(n),
also called linear time

Q36. What is key
difference between a set and a list?

A
set is an ordered collection unique items. A list is an unordered
collection of non-unique items.
Elements
can be retrieved from a list but they cannot be retrieved from a set.
A
set is an ordered collection of non-unique items. A list is an unordered
collection of unique items.
A
set is an unordered collection unique items. A list is an ordered
collection of non-unique items.

Q37. What is the
definition of abstraction as applied to object-oriented Python?

Abstraction
means that a different style of code can be used, since many details are
already known to the program behind the scenes.
Abstraction
means the implementation is hidden from the user, and only the relevant
data or information is shown.
Abstraction
means that the data and the functionality of a class are combined into one
entity.
Abstraction
means that a class can inherit from more than one parent class.

Q38. What does this
function print?

def print_alpha_nums(abc_list,
num_list):

for char in abc_list:

for num in num_list:

print(char, num)

return

print_alpha_nums([‘a’, ‘b’, ‘c’], [1,
2, 3])

a 1

a 2

a 3

b 1

b 2

b 3

c 1

c 2

c 3

[‘a’, ‘b’, ‘c’], [1, 2, 3]

aaa

bbb

ccc

111

222

333

a 1 2 3

b 1 2 3

c 1 2 3

Q39. What is the correct syntax for
calling an instance method on a class named Game?

my_game = Game()

my_game.roll_dice()

my_game = Game()

self.my_game.roll_dice()

my_game = Game(self)

self.my_game.roll_dice()

my_game = Game(self)

my_game.roll_dice(self)

Q40. Correct
representation of doctest for function in Python

def sum(a, b):

# a = 1

# b = 2

# sum(a, b) = 3

return a + b

def sum(a, b):

“””

a = 1

b = 2

sum(a, b) = 3

“””

return a + b

def sum(a, b):

“””

>>> a = 1

>>> b = 2

>>> sum(a, b)

“””

return a + b

def sum(a, b):

”’

a = 1

b = 2

sum(a, b) = 3

”’

return a + b

Q41. Suppose a Game
class inherits from two parent classes: BoardGame and LogicGame. Which
statement is true about the methods of an object instantiated from the Game
class?

When
instantiating an object, the object doesn’t inherit any of the parent
class’s methods.
When
instantiating an object, the object will inherit the methods of whichever
parent class has more methods.
When
instantiating an object, the programmer must specify which parent class to
inherit methods from.
An
instance of the Game class will inherit whatever methods the BoardGame and
LogicGame classes have.

Q42. What does
calling namedtuple on a collection type return?

a
generic object class with iterable parameter fields
a
generic object class with non-iterable named fields
a
tuple subclass with non-iterable parameter fields
a
tuple subclass with iterable named fields

Q43. What symbol(s)
do you use to assess equality between two elements?

Q44. Review the
code below. What is the correct syntax for changing the price to 1.5?

fruit_info = {

‘fruit’: ‘apple’,

‘count’: 2,

‘price’: 3.5

}

fruit_info
[‘price’] = 1.5
my_list
[3.5] = 1.5
1.5 =
fruit_info [‘price]
my_list[‘price’]
== 1.5

Q45. What value
would be returned by this check for equality?

5 != 6

yes
False
True
None

Q46. What does a
class’s init() method do?

The __init__ method makes classes
aware of each other if more than one class is defined in a single code
file.
The__init__ method is included to
preserve backwards compatibility from Python 3 to Python 2, but no longer
needs to be used in Python 3.
The __init__ method is a
constructor method that is called automatically whenever a new object is
created from a class. It sets the initial state of a new object.`
The __init__ method initializes any
imports you may have included at the top of your file.`

Q47. What is meant
by the phrase “space complexity”?

How many
microprocessors it would take to run your code in less than one second
How many
lines of code are in your code file
The amount
of space taken up in memory as a function of the input size
How many
copies of the code file could fit in 1 GB of memory

Q48. What is the
correct syntax for creating a variable that is bound to a dictionary?

fruit_info
= {‘fruit’: ‘apple’, ‘count’: 2, ‘price’: 3.5}
fruit_info
=(‘fruit’: ‘apple’, ‘count’: 2,’price’: 3.5 ).dict()
fruit_info
= [‘fruit’: ‘apple’, ‘count’: 2,’price’: 3.5 ].dict()
fruit_info
= to_dict(‘fruit’: ‘apple’, ‘count’: 2, ‘price’: 3.5)

Q49. What is the
proper way to write a list comprehension that represents all the keys in this
dictionary?

fruits = {‘Apples’: 5, ‘Oranges’: 3,
‘Bananas’: 4}

fruit_names
= [x in fruits.keys() for x]
fruit_names
= for x in fruits.keys() *
fruit_names
= [x for x in fruits.keys()]
fruit_names
= x for x in fruits.keys()

Q50. What is the
algorithmic paradigm of quick sort?

backtracking
divide and
conquer
dynamic
programming
decrease
and conquer

Q51. What is the purpose of the self keyword when
defining or calling methods on an instance of an object?

self refers to the class
that was inherited from to create the object using self.
There
is no real purpose for the self method. It’s just legacy
computer science jargon that Python keeps to stay consistent with other
programming languages.
self means that no other
arguments are required to be passed into the method.
self refers to the instance
whose method was called.

Q52. What statement
about a class methods is true?

A
class method is a regular function that belongs to a class, but it must
return None.
A
class method can modify the state of the class, but they can’t directly
modify the state of an instance that inherits from that class.
A
class method is similar to a regular function, but a class method doesn’t
take any arguments.
A
class method hold all of the data for a particular class.

Q53. What does it
mean for a function to have linear runtime?

You
did not use very many advanced computer programming concepts in your code.
The
difficulty level your code is written at is not that high.
It
will take your program less than half a second to run.
The
amount of time it takes the function to complete grows linearly as the
input size increases.

Q54. What is the
proper way to define a function?

def
getMaxNum(list_of_nums): # body of function goes here
func
get_max_num(list_of_nums): # body of function goes here
func
getMaxNum(list_of_nums): # body of function goes here
def
get_max_num(list_of_nums): # body of function goes here explanation

Q55. According to
the PEP 8 coding style guidelines, how should constant values be named in
Python?

in
camel case without using underscores to separate words — e.g. maxValue =
255
in
lowercase with underscores to separate words — e.g. max_value =
255
in
all caps with underscores separating words — e.g. MAX_VALUE =
255
in
mixed case without using underscores to separate words — e.g. MaxValue =
255

Q56. Describe the
functionality of a deque.

A
deque adds items to one side and remove items from the other side.
A
deque adds items to either or both sides, but only removes items from the
top.
A
deque adds items at either or both ends, and remove items at either or
both ends.
A
deque adds items only to the top, but remove from either or both sides.

Q57. What is the
correct syntax for creating a variable that is bound to a set?

myset = {0,
‘apple’, 3.5}
myset =
to_set(0, ‘apple’, 3.5)
myset = (0,
‘apple’, 3.5).to_set()
myset = (0,
‘apple’, 3.5).set()

Q58. What is the correct syntax for
defining an __init__() method that
takes no parameters?

class __init__(self):

pass

def __init__():

pass

class __init__():

pass

def __init__(self):

pass

Q59. Which
statement about the class methods is true?

A
class method holds all of the data for a particular class.
A
class method can modify the state of the class, but it cannot directly modify
the state of an instance that inherits from that class.
A
class method is a regular function that belongs to a class, but it must
return None
A
class method is similar to a regular function, but a class method does not
take any arguments.

Q60. Which of the
following is TRUE About how numeric data would be organised in a binary Search
tree?

For
any given Node in a binary Search Tree, the child node to the left is less
than the value of the given node and the child node to its right is
greater than the given node. (Not Sure)
Binary
Search Tree cannot be used to organize and search through numeric data,
given the complication that arise with very deep trees.
The
top node of the binary search tree would be an arbitrary number. All the
nodes to the left of the top node need to be less than the top node’s
number, but they don’t need to ordered in any particular way.
The
smallest numeric value would go in the top most node. The next highest
number would go in its left child node, the the next highest number after
that would go in its right child node. This pattern would continue until
all numeric values were in their own node.

Q61. Why would you
use a decorator?

A
decorator is similar to a class and should be used if you are doing
functional programming instead of object oriented programming.
A
decorator is a visual indicator to someone reading your code that a
portion of your code is critical and should not be changed.
You
use the decorator to alter the functionality of a function without having
to modify the functions code.
An
import statement is preceded by a decorator, python knows to import the
most recent version of whatever package or library is being imported.

Q62. When would you
use a for loop ?

Only
in some situations, as loops are used ony for certain type of programming.
When
you need to check every element in an iterable of known length.
When
you want to minimize the use of strings in your code.
When
you want to run code in one file for a function in another file.

Q63. What is the
most self-descriptive way to define a function that calculates sales tax on a
purchase?

def tax(my_float):

”’Calculates the sales tax of a purchase. Takes in a float representing
the subtotal as an argument and returns a float representing the sales tax.”’

pass

def tx(amt):

”’Gets the tax on an amount.”’

def sales_tax(amount):

”’Calculates the sales tax of a purchase. Takes in a float representing
the subtotal as an argument and returns a float representing the sales tax.”’

def calculate_sales_tax(subtotal):

pass

Q64. What would
happen if you did not alter the state of the element that an algorithm is
operating on recursively?

You
do not have to alter the state of the element the algorithm is recursing
on.
You
would eventually get a KeyError when the recursive portion of the code ran
out of items to recurse on.
You
would get a RuntimeError: maximum recursion depth exceeded.
The
function using recursion would return None.

Q65. What is the
runtime complexity of searching for an item in a binary search tree?

The
runtime for searching in a binary search tree is O(1) because each node
acts as a key, similar to a dictionary.
The
runtime for searching in a binary search tree is O(n!) because every node
must be compared to every other node.
The
runtime for searching in a binary search tree is generally O(h), where h
is the height of the tree.
The
runtime for searching in a binary search tree is O(n) because every node
in the tree must be visited.

Q66. Why would you use mixin?

You
use a mixin to force a function to accept an
argument at runtime even if the argument wasn’t included in the function’s
definition.
You
use a mixin to allow a decorator to accept keyword
arguments.
You
use a mixin to make sure that a class’s attributes
and methods don’t interfere with global variables and functions.
If
you have many classes that all need to have the same functionality, you’d
use a mixin to define that functionality.

Q67. What is the
runtime complexity of adding an item to a stack and removing an item from a
stack?

Add
items to a stack in O(1) time and remove items from a stack on O(n) time.
Add
items to a stack in O(1) time and remove items from a stack in O(1) time.
Add
items to a stack in O(n) time and remove items from a stack on O(1) time.
Add
items to a stack in O(n) time and remove items from a stack on O(n) time.

Q68. What does
calling namedtuple on a collection type return?

a
tuple subclass with iterable named fields
a
generic object class with non-iterable named fields
a
generic object class with iterable parameter fields
a
tuple subclass with non-iterable parameter fields

Q69. Which
statement accurately describes how items are added to and removed from a stack?

a
stacks adds items to one side and removes items from the other side.
a
stacks adds items to the top and removes items from the top.
a
stacks adds items to the top and removes items from anywhere in the stack.
a
stacks adds items to either end and removes items from either end.

Q70. What is a base
case in a recursive function?

A
base case is the condition that allows the algorithm to stop recursing. It
is usually a problem that is small enough to solve directly.
The
base case is summary of the overall problem that needs to be solved.
The
base case is passed in as an argument to a function whose body makes use
of recursion.
The
base case is similar to a base class, in that it can be inherited by
another object.

Q71. Why is it considered good
practice to open a file from within a Python script by using the with keyword?

The with keyword lets you
choose which application to open the file in.
The with keyword acts like
a for loop, and lets you access each line in the
file one by one.
There
is no benefit to using the with keyword for opening a
file in Python.
When
you open a file using the with keyword in Python,
Python will make sure the file gets closed, even if an exception or error
is thrown.

Q72. Why would you
use a virtual environment?

Virtual
environments create a “bubble” around your project so that any
libraries or packages you install within it don’t affect your entire
machine.
Teams
with remote employees use virtual environments so they can share code, do
code reviews, and collaorate remotely.
Virtual
environments were common in Python 2 because they augmented missing
features in the language. Virtual environments are not necessary in Python
3 due to advancements in the language.
Virtual
environments are tied to your GitHub or Bitbucket account, allowing you to
access any of your repos virtually from any machine.

Q73. What is the
correct way to run all the doctests in a given file from the command line?

python3
-m doctest
python3
python3
rundoctests
python3
doctest

Q74. What is a
lambda function ?

any
function that makes use of scientific or mathematical constants, often
represented by Greek letters in academic writing
a
function that get executed when decorators are used
any
function whose definition is contained within five lines of code or fewer
a
small, anonymous function that can take any number of arguments but has
only expression to evaluate

Reference

Explanation: the lambda notation is basically an
anonymous function that can take any number of arguments with only single
expression (i.e, cannot be overloaded). It has been introducted in other
programming languages, such as C++ and Java. The lambda notation allows programmers
to “bypass” function declaration.

Q75. What is the
primary difference between lists and tuples?

You
can access a specifc element in a list by indexing to its position, but
you cannot access a specific element in a tuple unless you iterate through
the tuple
Lists
are mutable, meaning you can change the data that is inside them at any
time. Tuples are immutable, meaning you cannot change the data that is
inside them once you have created the tuple.
Lists
are immutable, meaning you cannot change the data that is inside them once
you have created the list. Tuples are mutable, meaning you can change the
data that is inside them at any time.
Lists
can hold several data types inside them at once, but tuples can only hold
the same data type if multiple elements are present.

Q76. Which
statement about static method is true?

Static
methods can be bound to either a class or an instance of a class.
Static
methods can access and modify the state of a class or an instance of a
class.
Static
methods serve mostly as utility or helper methods, since they cannot
access or modify a class’s state.
Static
methods are called static because they always return None.

Q77. What does a
generator return?

None
An
iterable object
A
linked list data structure from a non-empty list
All
the keys of the given dictionary

Q78. What is the
difference between class attributes and instance attributes?

Instance
attributes can be changed, but class attributes cannot be changed
Class
attributes are shared by all instances of the class. Instance attributes
may be unique to just that instance
There
is no difference between class attributes and instance attributes
Class
attributes belong just to the class, not to instance of that class.
Instance attributes are shared among all instances of a class

Q79. What is the
correct syntax of creating an instance method?

def get_next_card():

# method body goes here

def get_next_card(self):

# method body goes here

def self.get_next_card():

# method body goes here

def self.get_next_card(self):

# method body goes here

Q80. What is a key
difference between a set and a list?

A
set is an ordered collection of non-unique items. A list is an unordered
collection of unique items.
A
set is an ordered collection of unique items. A list is an unordered
collection of non-unique items.
Elements
can be retrieved from a list but they cannot be retrieved from a set.
A
set is an unordered collection of unique items. A list is an ordered
collection of non-unique items.

Q81. What is the
correct way to call a function?

get_max_num([57,
99, 31, 18])
call.(get_max_num)
def
get_max_num([57, 99, 31, 18])
call.get_max_num([57,
99, 31, 18])

Q82. How is comment
created?

—
This is a comment
#
This is a comment
/*
This is a comment *
//
This is a comment

Q83. What is the
correct syntax for replacing the string apple in the list with the string
orange?

orange
= my_list[1]
my_list[1]
= ‘orange’
my_list[‘orange’]
= 1
my_list[1]
== orange

Q84. What will
happen if you use a while loop and forget to include logic that eventually
causes the while loop to stop?

Nothing
will happen; your computer knows when to stop running the code in the
while loop.
You
will get a KeyError.
Your
code will get stuck in an infinite loop.
You
will get a WhileLoopError.

Q85. Describe the
functionality of a queue?

A
queue add items to either end and remove items from either end.
A
queue add items to the top and remove items from the top.
A
queue add items to the top, and removes items from anywhere in, a list.
A
queue add items to the top and remove items from anywhere in the queue.

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