Arrays, records, lists and tuples for lesson 21/5

What is the primary difference between arrays and lists in terms of memory allocation?

• Both use non-contiguous memory allocation.

• Arrays require contiguous memory allocation.

• Lists require contiguous memory allocation.

• Arrays require non-contiguous memory allocation.

What does zero-indexed mean in the context of arrays?

• The first element is at position zero.

• The first element is at position one.

• The index starts from the last element.

• No zero value can be stored in the array.

In Python, how can arrays be manipulated to behave like lists?

• Arrays cannot be made to behave like lists.

• By rewriting the array's core data structure.

• By changing the Python interpreter.

• By using specific library functions.

How is a two-dimensional array visualized?

• As a cube.

• As a single line of elements.

• As a series of disconnected points.

• As a table with rows and columns.

How can you access the element at the second row and third column in a 2D array?

• Using the index [3][2]

• Using the index [2][2]

• Using the index [2][3]

• Using the index [1][2]

What is the visualization suggested for a four-dimensional array?

• A single cube.

• A set of cubes.

• A series of tables.

• A line of elements.

In a three-dimensional array, how are elements accessed?

• Through a single index.

• No indexing is needed.

• Through two indices.

• Through three indices.

Which data structure in Python is immutable?

• Records

• Tuples

• Arrays

• Lists

What is the primary characteristic of a record data structure?

• It can only hold data of the same type.

• It holds related fields with potentially different data types.

• It is always mutable.

• It does not allow for data retrieval.

What happens when you try to change an element in a tuple in Python?

• An error is generated.

• The element is changed without issues.

• The entire tuple is recreated.

• The tuple automatically converts to a list.