Python Data Structures MCQ Questions with Answers – Page 2 (Latest 2026)
Practice Python Data Structures MCQ questions with detailed explanations and clear answer validation. These MCQs help you revise core concepts, compare close options, and improve accuracy for interviews, certification exams, and technical screening rounds. Use this updated 2026 set to strengthen fundamentals and confidence.
Q51. Which statement about generator expression is most accurate?
Select an answer to check.
Answer: Lazy iterator with (expr for x in iter).
Here, Lazy iterator with (expr for x in iter). is the right choice. Saves memory on large data. It aligns directly with what the question asks about which statement about generator expression is most accurate. Competing choices sound plausible, but they miss the key condition.
Q52. How is generator expression best characterized?
Select an answer to check.
Answer: Lazy iterator with (expr for x in iter).
In this case, Lazy iterator with (expr for x in iter). is correct. Saves memory on large data. It aligns directly with what the question asks about how is generator expression best characterized. Competing choices sound plausible, but they miss the key condition.
Q53. Which option best describes dict comprehension in Python?
Select an answer to check.
Answer: {k: v for ...}.
The best option here is {k: v for ...}.. Constructs dicts concisely. It aligns directly with what the question asks about which option best describes dict comprehension in python. Competing choices sound plausible, but they miss the key condition.
Q54. What is the primary purpose of dict comprehension?
Select an answer to check.
Answer: {k: v for ...}.
For this question, {k: v for ...}. is correct. Constructs dicts concisely. It aligns directly with what the question asks about what is the primary purpose of dict comprehension. Competing choices sound plausible, but they miss the key condition.
Q55. Which statement about dict comprehension is most accurate?
Select an answer to check.
Answer: {k: v for ...}.
{k: v for ...}. is the correct answer here. Constructs dicts concisely. It aligns directly with what the question asks about which statement about dict comprehension is most accurate. Competing choices sound plausible, but they miss the key condition.
Q56. How is dict comprehension best characterized?
Select an answer to check.
Answer: {k: v for ...}.
Here, {k: v for ...}. is the right choice. Constructs dicts concisely. This matches the core idea being tested around how is dict comprehension best characterized. Competing choices sound plausible, but they miss the key condition.
Q57. Which option best describes set comprehension in Python?
Select an answer to check.
Answer: {x for ...}.
In this case, {x for ...}. is correct. Constructs sets concisely. This matches the core idea being tested around which option best describes set comprehension in python. Competing choices sound plausible, but they miss the key condition.
Q58. What is the primary purpose of set comprehension?
Select an answer to check.
Answer: {x for ...}.
The best option here is {x for ...}.. Constructs sets concisely. This matches the core idea being tested around what is the primary purpose of set comprehension. Competing choices sound plausible, but they miss the key condition.
Q59. Which statement about set comprehension is most accurate?
Select an answer to check.
Answer: {x for ...}.
For this question, {x for ...}. is correct. Constructs sets concisely. This matches the core idea being tested around which statement about set comprehension is most accurate. Competing choices sound plausible, but they miss the key condition.
Q60. How is set comprehension best characterized?
Select an answer to check.
Answer: {x for ...}.
{x for ...}. is the correct answer here. Constructs sets concisely. This matches the core idea being tested around how is set comprehension best characterized. Competing choices sound plausible, but they miss the key condition.
Q61. Which option best describes slicing in Python?
Select an answer to check.
Answer: seq[start:stop:step] returns a sub-sequence.
Here, seq[start:stop:step] returns a sub-sequence. is the right choice. Lists return list slices. That is exactly the concept behind which option best describes slicing in python in this context. Competing choices sound plausible, but they miss the key condition.
Q62. What is the primary purpose of slicing?
Select an answer to check.
Answer: seq[start:stop:step] returns a sub-sequence.
In this case, seq[start:stop:step] returns a sub-sequence. is correct. Lists return list slices. That is exactly the concept behind what is the primary purpose of slicing in this context. Competing choices sound plausible, but they miss the key condition.
Q63. Which statement about slicing is most accurate?
Select an answer to check.
Answer: seq[start:stop:step] returns a sub-sequence.
The best option here is seq[start:stop:step] returns a sub-sequence.. Lists return list slices. That is exactly the concept behind which statement about slicing is most accurate in this context. Competing choices sound plausible, but they miss the key condition.
Q64. How is slicing best characterized?
Select an answer to check.
Answer: seq[start:stop:step] returns a sub-sequence.
For this question, seq[start:stop:step] returns a sub-sequence. is correct. Lists return list slices. That is exactly the concept behind how is slicing best characterized in this context. Competing choices sound plausible, but they miss the key condition.
Q65. Which option best describes hashability in Python?
Select an answer to check.
Answer: An object is hashable if it has a stable hash.
An object is hashable if it has a stable hash. is the correct answer here. Required for set/dict keys. That is exactly the concept behind which option best describes hashability in python in this context. Competing choices sound plausible, but they miss the key condition.
Q66. What is the primary purpose of hashability?
Select an answer to check.
Answer: An object is hashable if it has a stable hash.
Here, An object is hashable if it has a stable hash. is the right choice. Required for set/dict keys. It fits the requirement in the prompt about what is the primary purpose of hashability. Competing choices sound plausible, but they miss the key condition.
Q67. Which statement about hashability is most accurate?
Select an answer to check.
Answer: An object is hashable if it has a stable hash.
In this case, An object is hashable if it has a stable hash. is correct. Required for set/dict keys. It fits the requirement in the prompt about which statement about hashability is most accurate. Competing choices sound plausible, but they miss the key condition.
Q68. How is hashability best characterized?
Select an answer to check.
Answer: An object is hashable if it has a stable hash.
The best option here is An object is hashable if it has a stable hash.. Required for set/dict keys. It fits the requirement in the prompt about how is hashability best characterized. Competing choices sound plausible, but they miss the key condition.
Q69. Which option best describes equality vs identity in Python?
Select an answer to check.
Answer: == compares value; is checks identity.
For this question, == compares value; is checks identity. is correct. Use is for None. It fits the requirement in the prompt about which option best describes equality vs identity in. Competing choices sound plausible, but they miss the key condition.
Q70. What is the primary purpose of equality vs identity?
Select an answer to check.
Answer: == compares value; is checks identity.
== compares value; is checks identity. is the correct answer here. Use is for None. It fits the requirement in the prompt about what is the primary purpose of equality vs. Competing choices sound plausible, but they miss the key condition.
Q71. Which statement about equality vs identity is most accurate?
Select an answer to check.
Answer: == compares value; is checks identity.
Here, == compares value; is checks identity. is the right choice. Use is for None. This is the most accurate statement for which statement about equality vs identity is most. Competing choices sound plausible, but they miss the key condition.
Q72. How is equality vs identity best characterized?
Select an answer to check.
Answer: == compares value; is checks identity.
In this case, == compares value; is checks identity. is correct. Use is for None. This is the most accurate statement for how is equality vs identity best characterized. Competing choices sound plausible, but they miss the key condition.
Q73. Which option best describes a namedtuple in Python?
Select an answer to check.
Answer: Immutable record with named fields.
The best option here is Immutable record with named fields.. Lightweight class alternative. This is the most accurate statement for which option best describes a namedtuple in python. Competing choices sound plausible, but they miss the key condition.
Q74. What is the primary purpose of a namedtuple?
Select an answer to check.
Answer: Immutable record with named fields.
For this question, Immutable record with named fields. is correct. Lightweight class alternative. This is the most accurate statement for what is the primary purpose of a namedtuple. Competing choices sound plausible, but they miss the key condition.
Q75. Which statement about a namedtuple is most accurate?
Select an answer to check.
Answer: Immutable record with named fields.
Immutable record with named fields. is the correct answer here. Lightweight class alternative. This is the most accurate statement for which statement about a namedtuple is most accurate. Competing choices sound plausible, but they miss the key condition.
Q76. How is a namedtuple best characterized?
Select an answer to check.
Answer: Immutable record with named fields.
Here, Immutable record with named fields. is the right choice. Lightweight class alternative. It aligns directly with what the question asks about how is a namedtuple best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q77. Which option best describes dataclasses.dataclass in Python?
Select an answer to check.
Answer: Auto-generated __init__/__repr__/__eq__ for classes.
In this case, Auto-generated __init__/__repr__/__eq__ for classes. is correct. Use field() for defaults. It aligns directly with what the question asks about which option best describes dataclasses.dataclass in python. The remaining choices fail because they don’t satisfy the full definition.
Q78. What is the primary purpose of dataclasses.dataclass?
Select an answer to check.
Answer: Auto-generated __init__/__repr__/__eq__ for classes.
The best option here is Auto-generated __init__/__repr__/__eq__ for classes.. Use field() for defaults. It aligns directly with what the question asks about what is the primary purpose of dataclasses.dataclass. The remaining choices fail because they don’t satisfy the full definition.
Q79. Which statement about dataclasses.dataclass is most accurate?
Select an answer to check.
Answer: Auto-generated __init__/__repr__/__eq__ for classes.
For this question, Auto-generated __init__/__repr__/__eq__ for classes. is correct. Use field() for defaults. It aligns directly with what the question asks about which statement about dataclasses.dataclass is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q80. How is dataclasses.dataclass best characterized?
Select an answer to check.
Answer: Auto-generated __init__/__repr__/__eq__ for classes.
Auto-generated __init__/__repr__/__eq__ for classes. is the correct answer here. Use field() for defaults. It aligns directly with what the question asks about how is dataclasses.dataclass best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q81. Which option best describes a slice object in Python?
Select an answer to check.
Answer: slice(start,stop,step) usable in __getitem__.
Here, slice(start,stop,step) usable in __getitem__. is the right choice. Custom containers can support it. This matches the core idea being tested around which option best describes a slice object in. The remaining choices fail because they don’t satisfy the full definition.
Q82. What is the primary purpose of a slice object?
Select an answer to check.
Answer: slice(start,stop,step) usable in __getitem__.
In this case, slice(start,stop,step) usable in __getitem__. is correct. Custom containers can support it. This matches the core idea being tested around what is the primary purpose of a slice. The remaining choices fail because they don’t satisfy the full definition.
Q83. Which statement about a slice object is most accurate?
Select an answer to check.
Answer: slice(start,stop,step) usable in __getitem__.
The best option here is slice(start,stop,step) usable in __getitem__.. Custom containers can support it. This matches the core idea being tested around which statement about a slice object is most. The remaining choices fail because they don’t satisfy the full definition.
Q84. How is a slice object best characterized?
Select an answer to check.
Answer: slice(start,stop,step) usable in __getitem__.
For this question, slice(start,stop,step) usable in __getitem__. is correct. Custom containers can support it. This matches the core idea being tested around how is a slice object best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q85. Which option best describes immutable types in Python?
Select an answer to check.
Answer: int, float, str, tuple, frozenset, bytes.
int, float, str, tuple, frozenset, bytes. is the correct answer here. Hashable if contents are. This matches the core idea being tested around which option best describes immutable types in python. The remaining choices fail because they don’t satisfy the full definition.
Q86. What is the primary purpose of immutable types?
Select an answer to check.
Answer: int, float, str, tuple, frozenset, bytes.
Here, int, float, str, tuple, frozenset, bytes. is the right choice. Hashable if contents are. That is exactly the concept behind what is the primary purpose of immutable types in this context. The remaining choices fail because they don’t satisfy the full definition.
Q87. Which statement about immutable types is most accurate?
Select an answer to check.
Answer: int, float, str, tuple, frozenset, bytes.
In this case, int, float, str, tuple, frozenset, bytes. is correct. Hashable if contents are. That is exactly the concept behind which statement about immutable types is most accurate in this context. The remaining choices fail because they don’t satisfy the full definition.
Q88. How is immutable types best characterized?
Select an answer to check.
Answer: int, float, str, tuple, frozenset, bytes.
The best option here is int, float, str, tuple, frozenset, bytes.. Hashable if contents are. That is exactly the concept behind how is immutable types best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.
Q89. Which option best describes mutable default arguments in Python?
Select an answer to check.
Answer: Default mutable args persist across calls (gotcha).
For this question, Default mutable args persist across calls (gotcha). is correct. Use None and create inside. That is exactly the concept behind which option best describes mutable default arguments in in this context. The remaining choices fail because they don’t satisfy the full definition.
Q90. What is the primary purpose of mutable default arguments?
Select an answer to check.
Answer: Default mutable args persist across calls (gotcha).
Default mutable args persist across calls (gotcha). is the correct answer here. Use None and create inside. That is exactly the concept behind what is the primary purpose of mutable default in this context. The remaining choices fail because they don’t satisfy the full definition.
Q91. Which statement about mutable default arguments is most accurate?
Select an answer to check.
Answer: Default mutable args persist across calls (gotcha).
Here, Default mutable args persist across calls (gotcha). is the right choice. Use None and create inside. It fits the requirement in the prompt about which statement about mutable default arguments is most. The remaining choices fail because they don’t satisfy the full definition.
Q92. How is mutable default arguments best characterized?
Select an answer to check.
Answer: Default mutable args persist across calls (gotcha).
In this case, Default mutable args persist across calls (gotcha). is correct. Use None and create inside. It fits the requirement in the prompt about how is mutable default arguments best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q93. Which option best describes typing generics in Python?
Select an answer to check.
Answer: List[int], Dict[str, int], etc., for hints.
The best option here is List[int], Dict[str, int], etc., for hints.. Use list[int] in 3.9+. It fits the requirement in the prompt about which option best describes typing generics in python. The remaining choices fail because they don’t satisfy the full definition.
Q94. What is the primary purpose of typing generics?
Select an answer to check.
Answer: List[int], Dict[str, int], etc., for hints.
For this question, List[int], Dict[str, int], etc., for hints. is correct. Use list[int] in 3.9+. It fits the requirement in the prompt about what is the primary purpose of typing generics. The remaining choices fail because they don’t satisfy the full definition.
Q95. Which statement about typing generics is most accurate?
Select an answer to check.
Answer: List[int], Dict[str, int], etc., for hints.
List[int], Dict[str, int], etc., for hints. is the correct answer here. Use list[int] in 3.9+. It fits the requirement in the prompt about which statement about typing generics is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q96. How is typing generics best characterized?
Select an answer to check.
Answer: List[int], Dict[str, int], etc., for hints.
Here, List[int], Dict[str, int], etc., for hints. is the right choice. Use list[int] in 3.9+. This is the most accurate statement for how is typing generics best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q97. Which option best describes enumerate in Python?
Select an answer to check.
Answer: Yields (index, value) pairs over an iterable.
In this case, Yields (index, value) pairs over an iterable. is correct. Avoid manual counters. This is the most accurate statement for which option best describes enumerate in python. The remaining choices fail because they don’t satisfy the full definition.
Q98. What is the primary purpose of enumerate?
Select an answer to check.
Answer: Yields (index, value) pairs over an iterable.
The best option here is Yields (index, value) pairs over an iterable.. Avoid manual counters. This is the most accurate statement for what is the primary purpose of enumerate. The remaining choices fail because they don’t satisfy the full definition.
Q99. Which statement about enumerate is most accurate?
Select an answer to check.
Answer: Yields (index, value) pairs over an iterable.
For this question, Yields (index, value) pairs over an iterable. is correct. Avoid manual counters. This is the most accurate statement for which statement about enumerate is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q100. How is enumerate best characterized?
Select an answer to check.
Answer: Yields (index, value) pairs over an iterable.
Yields (index, value) pairs over an iterable. is the correct answer here. Avoid manual counters. This is the most accurate statement for how is enumerate best characterized. The remaining choices fail because they don’t satisfy the full definition.