Behavioral Design Patterns in C++ - Containers - III (Issues)

The video discusses issues with accessing elements in dynamic arrays and lists, highlighting problems like exposed internal structures, API inconsistency, and encapsulation violations. These issues allow clients to directly modify object states, leading to potential corruption. A demonstration shows how client access can disrupt the list's integrity. The video concludes by suggesting the iterator design pattern as a solution to provide consistent and safe access to container elements.

What is a major issue with the current implementation of dynamic arrays and lists?

• Their internal structure is exposed to clients.

• They use too much memory.

• They are too slow to access.

• They are not compatible with each other.

Why is the API inconsistent across different containers like arrays, lists, and trees?

• Each container has a different way of accessing elements.

• They all use the same traversal algorithm.

• They are all implemented in the same way.

• They all have the same internal structure.

What is a consequence of violating encapsulation in container implementations?

• The container's state can be modified without its knowledge.

• The container uses less memory.

• The container becomes more secure.

• The container becomes faster.

What is the purpose of introducing the iterator design pattern?

• To make containers slower.

• To increase memory usage.

• To provide a consistent API for accessing elements.

• To expose the internal structure of containers.

How does the iterator design pattern help with container access?

• It makes the containers more complex.

• It makes the containers slower.

• It hides the implementation details from clients.

• It requires clients to know the internal structure.