Understanding Python's memory management architecture
This is an easy multiple-choice question testing foundational knowledge of how Python allocates and frees memory at runtime. It targets candidates preparing for roles that require working directly with Python internals, performance optimization, or systems-level debugging.
The question asks you to identify the core architectural components that work together to manage object lifecycles and heap allocation in CPython. Understanding this layered system—how different levels interact to track and release memory—is essential for writing efficient Python code and debugging memory-related issues in production systems.
- Reference counting and object lifecycle
- Memory pools and arena allocation
- Garbage collection and circular reference handling