Which of the following are Python's built-in data structures?

The choice that includes lists, tuples, sets, and dictionaries is indeed the correct answer, as these are Python's built-in data structures.

Lists are ordered collections that allow duplicate elements and provide flexibility in terms of size and element manipulation. They are essential for ordering items in a specific sequence. Tuples, on the other hand, are similar to lists but are immutable, meaning that once defined, their contents cannot be altered, which makes them a great option for fixed collections of items.

Sets are unordered collections of unique elements and are typically used to eliminate duplicate entries and to perform various operations like unions, intersections, and differences. Finally, dictionaries are collections of key-value pairs that allow for efficient data retrieval. They are extremely useful for associative arrays in which a key is associated with a value, enabling fast lookups.

Other options include data structures that are either not built-in, like arrays and maps, or are not standard terminology used in Python, like records and graphs. Hence, the choice containing lists, tuples, sets, and dictionaries accurately reflects the fundamental data structures readily available in Python.