Python Memory Optimization MCQ Questions with Answers (Latest 2026)

Q1. Which option best describes __slots__ in Python?

A. Pure annotation. B. A speed-only optimization. C. Disables inheritance. D. Restricts attributes to fixed list, avoiding __dict__.

Select an answer to check.

Answer: Restricts attributes to fixed list, avoiding __dict__.

Here, Restricts attributes to fixed list, avoiding __dict__. is the right choice. Reduces per-instance memory. It aligns directly with what the question asks about which option best describes __slots__ in python. A quick elimination of partially true options helps confirm it.

Q2. What is the primary purpose of __slots__?

A. A speed-only optimization. B. Disables inheritance. C. Restricts attributes to fixed list, avoiding __dict__. D. Pure annotation.

Select an answer to check.

Answer: Restricts attributes to fixed list, avoiding __dict__.

In this case, Restricts attributes to fixed list, avoiding __dict__. is correct. Reduces per-instance memory. It aligns directly with what the question asks about what is the primary purpose of __slots__. A quick elimination of partially true options helps confirm it.

Q3. Which statement about __slots__ is most accurate?

A. Restricts attributes to fixed list, avoiding __dict__. B. Disables inheritance. C. A speed-only optimization. D. Pure annotation.

Select an answer to check.

Answer: Restricts attributes to fixed list, avoiding __dict__.

The best option here is Restricts attributes to fixed list, avoiding __dict__.. Reduces per-instance memory. It aligns directly with what the question asks about which statement about __slots__ is most accurate. A quick elimination of partially true options helps confirm it.

Q4. How is __slots__ best characterized?

A. Disables inheritance. B. A speed-only optimization. C. Pure annotation. D. Restricts attributes to fixed list, avoiding __dict__.

Select an answer to check.

Answer: Restricts attributes to fixed list, avoiding __dict__.

For this question, Restricts attributes to fixed list, avoiding __dict__. is correct. Reduces per-instance memory. It aligns directly with what the question asks about how is __slots__ best characterized. A quick elimination of partially true options helps confirm it.

Q5. Which option best describes array.array in Python?

A. A dict. B. A list of objects only. C. A set. D. Typed array of primitives more compact than list.

Select an answer to check.

Answer: Typed array of primitives more compact than list.

Typed array of primitives more compact than list. is the correct answer here. Use for large numeric arrays. It aligns directly with what the question asks about which option best describes array.array in python. A quick elimination of partially true options helps confirm it.

Q6. What is the primary purpose of array.array?

A. A list of objects only. B. A set. C. A dict. D. Typed array of primitives more compact than list.

Select an answer to check.

Answer: Typed array of primitives more compact than list.

Here, Typed array of primitives more compact than list. is the right choice. Use for large numeric arrays. This matches the core idea being tested around what is the primary purpose of array.array. A quick elimination of partially true options helps confirm it.

Q7. Which statement about array.array is most accurate?

A. A list of objects only. B. Typed array of primitives more compact than list. C. A dict. D. A set.

Select an answer to check.

Answer: Typed array of primitives more compact than list.

In this case, Typed array of primitives more compact than list. is correct. Use for large numeric arrays. This matches the core idea being tested around which statement about array.array is most accurate. A quick elimination of partially true options helps confirm it.

Q8. How is array.array best characterized?

A. A set. B. A list of objects only. C. A dict. D. Typed array of primitives more compact than list.

Select an answer to check.

Answer: Typed array of primitives more compact than list.

The best option here is Typed array of primitives more compact than list.. Use for large numeric arrays. This matches the core idea being tested around how is array.array best characterized. A quick elimination of partially true options helps confirm it.

Q9. Which option best describes NumPy arrays in Python?

A. A list of Python objects. B. A linked list. C. Contiguous typed arrays with vectorized ops. D. A pure dict.

Select an answer to check.

Answer: Contiguous typed arrays with vectorized ops.

For this question, Contiguous typed arrays with vectorized ops. is correct. Lower per-element overhead. This matches the core idea being tested around which option best describes numpy arrays in python. A quick elimination of partially true options helps confirm it.

Q10. What is the primary purpose of NumPy arrays?

A. Contiguous typed arrays with vectorized ops. B. A linked list. C. A pure dict. D. A list of Python objects.

Select an answer to check.

Answer: Contiguous typed arrays with vectorized ops.

Contiguous typed arrays with vectorized ops. is the correct answer here. Lower per-element overhead. This matches the core idea being tested around what is the primary purpose of numpy arrays. A quick elimination of partially true options helps confirm it.

Q11. Which statement about NumPy arrays is most accurate?

A. A linked list. B. Contiguous typed arrays with vectorized ops. C. A pure dict. D. A list of Python objects.

Select an answer to check.

Answer: Contiguous typed arrays with vectorized ops.

Here, Contiguous typed arrays with vectorized ops. is the right choice. Lower per-element overhead. That is exactly the concept behind which statement about numpy arrays is most accurate in this context. A quick elimination of partially true options helps confirm it.

Q12. How is NumPy arrays best characterized?

A. Contiguous typed arrays with vectorized ops. B. A list of Python objects. C. A pure dict. D. A linked list.

Select an answer to check.

Answer: Contiguous typed arrays with vectorized ops.

In this case, Contiguous typed arrays with vectorized ops. is correct. Lower per-element overhead. That is exactly the concept behind how is numpy arrays best characterized in this context. A quick elimination of partially true options helps confirm it.

Q13. Which option best describes generators in Python?

A. Lazy iterators avoiding building full lists. B. Pure dicts. C. Eager list comprehensions. D. Pure sets.

Select an answer to check.

Answer: Lazy iterators avoiding building full lists.

The best option here is Lazy iterators avoiding building full lists.. Constant memory streaming. That is exactly the concept behind which option best describes generators in python in this context. A quick elimination of partially true options helps confirm it.

Q14. What is the primary purpose of generators?

A. Eager list comprehensions. B. Lazy iterators avoiding building full lists. C. Pure sets. D. Pure dicts.

Select an answer to check.

Answer: Lazy iterators avoiding building full lists.

For this question, Lazy iterators avoiding building full lists. is correct. Constant memory streaming. That is exactly the concept behind what is the primary purpose of generators in this context. A quick elimination of partially true options helps confirm it.

Q15. Which statement about generators is most accurate?

A. Pure dicts. B. Eager list comprehensions. C. Lazy iterators avoiding building full lists. D. Pure sets.

Select an answer to check.

Answer: Lazy iterators avoiding building full lists.

Lazy iterators avoiding building full lists. is the correct answer here. Constant memory streaming. That is exactly the concept behind which statement about generators is most accurate in this context. A quick elimination of partially true options helps confirm it.

Q16. How is generators best characterized?

A. Pure sets. B. Lazy iterators avoiding building full lists. C. Pure dicts. D. Eager list comprehensions.

Select an answer to check.

Answer: Lazy iterators avoiding building full lists.

Here, Lazy iterators avoiding building full lists. is the right choice. Constant memory streaming. It fits the requirement in the prompt about how is generators best characterized. A quick elimination of partially true options helps confirm it.

Q17. Which option best describes itertools in Python?

A. Composable iterators avoiding intermediate lists. B. A profiler. C. A logger. D. Pure list builders.

Select an answer to check.

Answer: Composable iterators avoiding intermediate lists.

In this case, Composable iterators avoiding intermediate lists. is correct. Memory-friendly pipelines. It fits the requirement in the prompt about which option best describes itertools in python. A quick elimination of partially true options helps confirm it.

Q18. What is the primary purpose of itertools?

A. A profiler. B. A logger. C. Composable iterators avoiding intermediate lists. D. Pure list builders.

Select an answer to check.

Answer: Composable iterators avoiding intermediate lists.

The best option here is Composable iterators avoiding intermediate lists.. Memory-friendly pipelines. It fits the requirement in the prompt about what is the primary purpose of itertools. A quick elimination of partially true options helps confirm it.

Q19. Which statement about itertools is most accurate?

A. Pure list builders. B. Composable iterators avoiding intermediate lists. C. A logger. D. A profiler.

Select an answer to check.

Answer: Composable iterators avoiding intermediate lists.

For this question, Composable iterators avoiding intermediate lists. is correct. Memory-friendly pipelines. It fits the requirement in the prompt about which statement about itertools is most accurate. A quick elimination of partially true options helps confirm it.

Q20. How is itertools best characterized?

A. A profiler. B. Pure list builders. C. Composable iterators avoiding intermediate lists. D. A logger.

Select an answer to check.

Answer: Composable iterators avoiding intermediate lists.

Composable iterators avoiding intermediate lists. is the correct answer here. Memory-friendly pipelines. It fits the requirement in the prompt about how is itertools best characterized. A quick elimination of partially true options helps confirm it.

Q21. Which option best describes memoryview in Python?

A. A pure dict. B. A pure list of ints. C. A copy of bytes. D. View over a buffer without copying.

Select an answer to check.

Answer: View over a buffer without copying.

Here, View over a buffer without copying. is the right choice. Avoids allocations. This is the most accurate statement for which option best describes memoryview in python. A quick elimination of partially true options helps confirm it.

Q22. What is the primary purpose of memoryview?

A. View over a buffer without copying. B. A pure list of ints. C. A copy of bytes. D. A pure dict.

Select an answer to check.

Answer: View over a buffer without copying.

In this case, View over a buffer without copying. is correct. Avoids allocations. This is the most accurate statement for what is the primary purpose of memoryview. A quick elimination of partially true options helps confirm it.

Q23. Which statement about memoryview is most accurate?

A. A pure dict. B. A copy of bytes. C. View over a buffer without copying. D. A pure list of ints.

Select an answer to check.

Answer: View over a buffer without copying.

The best option here is View over a buffer without copying.. Avoids allocations. This is the most accurate statement for which statement about memoryview is most accurate. A quick elimination of partially true options helps confirm it.

Q24. How is memoryview best characterized?

A. A pure list of ints. B. A pure dict. C. A copy of bytes. D. View over a buffer without copying.

Select an answer to check.

Answer: View over a buffer without copying.

For this question, View over a buffer without copying. is correct. Avoids allocations. This is the most accurate statement for how is memoryview best characterized. A quick elimination of partially true options helps confirm it.

Q25. Which option best describes bytes vs bytearray in Python?

A. Both immutable. B. bytes is immutable; bytearray is mutable. C. Both mutable. D. Same thing.

Select an answer to check.

Answer: bytes is immutable; bytearray is mutable.

bytes is immutable; bytearray is mutable. is the correct answer here. Choose for use case. This is the most accurate statement for which option best describes bytes vs bytearray in. A quick elimination of partially true options helps confirm it.

Q26. What is the primary purpose of bytes vs bytearray?

A. Same thing. B. bytes is immutable; bytearray is mutable. C. Both immutable. D. Both mutable.

Select an answer to check.

Answer: bytes is immutable; bytearray is mutable.

Here, bytes is immutable; bytearray is mutable. is the right choice. Choose for use case. It aligns directly with what the question asks about what is the primary purpose of bytes vs. The other options are either incomplete or contextually incorrect.

Q27. Which statement about bytes vs bytearray is most accurate?

A. Both immutable. B. Both mutable. C. Same thing. D. bytes is immutable; bytearray is mutable.

Select an answer to check.

Answer: bytes is immutable; bytearray is mutable.

In this case, bytes is immutable; bytearray is mutable. is correct. Choose for use case. It aligns directly with what the question asks about which statement about bytes vs bytearray is most. The other options are either incomplete or contextually incorrect.

Q28. How is bytes vs bytearray best characterized?

A. bytes is immutable; bytearray is mutable. B. Both immutable. C. Both mutable. D. Same thing.

Select an answer to check.

Answer: bytes is immutable; bytearray is mutable.

The best option here is bytes is immutable; bytearray is mutable.. Choose for use case. It aligns directly with what the question asks about how is bytes vs bytearray best characterized. The other options are either incomplete or contextually incorrect.

Q29. Which option best describes the gc module in Python?

A. Pure pool allocator. B. No collector at all. C. Reference counting only. D. Cycle-collecting garbage collector.

Select an answer to check.

Answer: Cycle-collecting garbage collector.

For this question, Cycle-collecting garbage collector. is correct. Detects cycles refcount can't. It aligns directly with what the question asks about which option best describes the gc module in. The other options are either incomplete or contextually incorrect.

Q30. What is the primary purpose of the gc module?

A. No collector at all. B. Cycle-collecting garbage collector. C. Reference counting only. D. Pure pool allocator.

Select an answer to check.

Answer: Cycle-collecting garbage collector.

Cycle-collecting garbage collector. is the correct answer here. Detects cycles refcount can't. It aligns directly with what the question asks about what is the primary purpose of the gc. The other options are either incomplete or contextually incorrect.

Q31. Which statement about the gc module is most accurate?

A. Reference counting only. B. No collector at all. C. Cycle-collecting garbage collector. D. Pure pool allocator.

Select an answer to check.

Answer: Cycle-collecting garbage collector.

Here, Cycle-collecting garbage collector. is the right choice. Detects cycles refcount can't. This matches the core idea being tested around which statement about the gc module is most. The other options are either incomplete or contextually incorrect.

Q32. How is the gc module best characterized?

A. Cycle-collecting garbage collector. B. Pure pool allocator. C. Reference counting only. D. No collector at all.

Select an answer to check.

Answer: Cycle-collecting garbage collector.

In this case, Cycle-collecting garbage collector. is correct. Detects cycles refcount can't. This matches the core idea being tested around how is the gc module best characterized. The other options are either incomplete or contextually incorrect.

Q33. Which option best describes reference counting in Python?

A. Each object tracks ref count; freed at zero. B. Mark-and-sweep only. C. No tracking at all. D. Pure copy collector.

Select an answer to check.

Answer: Each object tracks ref count; freed at zero.

The best option here is Each object tracks ref count; freed at zero.. Primary CPython mechanism. This matches the core idea being tested around which option best describes reference counting in python. The other options are either incomplete or contextually incorrect.

Q34. What is the primary purpose of reference counting?

A. Each object tracks ref count; freed at zero. B. Mark-and-sweep only. C. Pure copy collector. D. No tracking at all.

Select an answer to check.

Answer: Each object tracks ref count; freed at zero.

For this question, Each object tracks ref count; freed at zero. is correct. Primary CPython mechanism. This matches the core idea being tested around what is the primary purpose of reference counting. The other options are either incomplete or contextually incorrect.

Q35. Which statement about reference counting is most accurate?

A. Pure copy collector. B. No tracking at all. C. Each object tracks ref count; freed at zero. D. Mark-and-sweep only.

Select an answer to check.

Answer: Each object tracks ref count; freed at zero.

Each object tracks ref count; freed at zero. is the correct answer here. Primary CPython mechanism. This matches the core idea being tested around which statement about reference counting is most accurate. The other options are either incomplete or contextually incorrect.

Q36. How is reference counting best characterized?

A. Each object tracks ref count; freed at zero. B. No tracking at all. C. Mark-and-sweep only. D. Pure copy collector.

Select an answer to check.

Answer: Each object tracks ref count; freed at zero.

Here, Each object tracks ref count; freed at zero. is the right choice. Primary CPython mechanism. That is exactly the concept behind how is reference counting best characterized in this context. The other options are either incomplete or contextually incorrect.

Q37. Which option best describes weakref in Python?

A. A pinned object. B. A finalizer. C. A strong reference. D. Reference that doesn't prevent collection.

Select an answer to check.

Answer: Reference that doesn't prevent collection.

In this case, Reference that doesn't prevent collection. is correct. Useful for caches. That is exactly the concept behind which option best describes weakref in python in this context. The other options are either incomplete or contextually incorrect.

Q38. What is the primary purpose of weakref?

A. A pinned object. B. A strong reference. C. Reference that doesn't prevent collection. D. A finalizer.

Select an answer to check.

Answer: Reference that doesn't prevent collection.

The best option here is Reference that doesn't prevent collection.. Useful for caches. That is exactly the concept behind what is the primary purpose of weakref in this context. The other options are either incomplete or contextually incorrect.

Q39. Which statement about weakref is most accurate?

A. A pinned object. B. A finalizer. C. A strong reference. D. Reference that doesn't prevent collection.

Select an answer to check.

Answer: Reference that doesn't prevent collection.

For this question, Reference that doesn't prevent collection. is correct. Useful for caches. That is exactly the concept behind which statement about weakref is most accurate in this context. The other options are either incomplete or contextually incorrect.

Q40. How is weakref best characterized?

A. A strong reference. B. A pinned object. C. Reference that doesn't prevent collection. D. A finalizer.

Select an answer to check.

Answer: Reference that doesn't prevent collection.

Reference that doesn't prevent collection. is the correct answer here. Useful for caches. That is exactly the concept behind how is weakref best characterized in this context. The other options are either incomplete or contextually incorrect.

Q41. Which option best describes dictionary memory in Python?

A. Always free. B. Each dict has overhead; many tiny dicts hurt. C. Pure list overhead. D. Same as int.

Select an answer to check.

Answer: Each dict has overhead; many tiny dicts hurt.

Here, Each dict has overhead; many tiny dicts hurt. is the right choice. Use slots/dataclasses. It fits the requirement in the prompt about which option best describes dictionary memory in python. The other options are either incomplete or contextually incorrect.

Q42. What is the primary purpose of dictionary memory?

A. Same as int. B. Each dict has overhead; many tiny dicts hurt. C. Pure list overhead. D. Always free.

Select an answer to check.

Answer: Each dict has overhead; many tiny dicts hurt.

In this case, Each dict has overhead; many tiny dicts hurt. is correct. Use slots/dataclasses. It fits the requirement in the prompt about what is the primary purpose of dictionary memory. The other options are either incomplete or contextually incorrect.

Q43. Which statement about dictionary memory is most accurate?

A. Same as int. B. Pure list overhead. C. Each dict has overhead; many tiny dicts hurt. D. Always free.

Select an answer to check.

Answer: Each dict has overhead; many tiny dicts hurt.

The best option here is Each dict has overhead; many tiny dicts hurt.. Use slots/dataclasses. It fits the requirement in the prompt about which statement about dictionary memory is most accurate. The other options are either incomplete or contextually incorrect.

Q44. How is dictionary memory best characterized?

A. Pure list overhead. B. Always free. C. Each dict has overhead; many tiny dicts hurt. D. Same as int.

Select an answer to check.

Answer: Each dict has overhead; many tiny dicts hurt.

For this question, Each dict has overhead; many tiny dicts hurt. is correct. Use slots/dataclasses. It fits the requirement in the prompt about how is dictionary memory best characterized. The other options are either incomplete or contextually incorrect.

Q45. Which option best describes intern strings in Python?

A. Always interned. B. Never interned. C. Disabled by default. D. sys.intern caches identical strings.

Select an answer to check.

Answer: sys.intern caches identical strings.

sys.intern caches identical strings. is the correct answer here. Speeds string comparisons. It fits the requirement in the prompt about which option best describes intern strings in python. The other options are either incomplete or contextually incorrect.

Q46. What is the primary purpose of intern strings?

A. Never interned. B. Disabled by default. C. sys.intern caches identical strings. D. Always interned.

Select an answer to check.

Answer: sys.intern caches identical strings.

Here, sys.intern caches identical strings. is the right choice. Speeds string comparisons. This is the most accurate statement for what is the primary purpose of intern strings. The other options are either incomplete or contextually incorrect.

Q47. Which statement about intern strings is most accurate?

A. Disabled by default. B. sys.intern caches identical strings. C. Always interned. D. Never interned.

Select an answer to check.

Answer: sys.intern caches identical strings.

In this case, sys.intern caches identical strings. is correct. Speeds string comparisons. This is the most accurate statement for which statement about intern strings is most accurate. The other options are either incomplete or contextually incorrect.

Q48. How is intern strings best characterized?

A. sys.intern caches identical strings. B. Disabled by default. C. Never interned. D. Always interned.

Select an answer to check.

Answer: sys.intern caches identical strings.

The best option here is sys.intern caches identical strings.. Speeds string comparisons. This is the most accurate statement for how is intern strings best characterized. The other options are either incomplete or contextually incorrect.

Q49. Which option best describes small int cache in Python?

A. No caching. B. All ints cached. C. Small ints are cached by CPython. D. Only floats cached.

Select an answer to check.

Answer: Small ints are cached by CPython.

For this question, Small ints are cached by CPython. is correct. Implementation detail. This is the most accurate statement for which option best describes small int cache in. The other options are either incomplete or contextually incorrect.

Q50. What is the primary purpose of small int cache?

A. No caching. B. Only floats cached. C. Small ints are cached by CPython. D. All ints cached.

Select an answer to check.

Answer: Small ints are cached by CPython.

Small ints are cached by CPython. is the correct answer here. Implementation detail. This is the most accurate statement for what is the primary purpose of small int. The other options are either incomplete or contextually incorrect.