Let’s analyze each statement:
(A) The maximum length of a path from the root node to any other node is \( (n - 1) \):
This statement is correct in the worst-case scenario, where the tree is skewed (like a linked list). In such a case, the maximum path length from the root node to any other node will be \( n - 1 \), as each node only has one child.
(B) An inorder traversal will always produce a sorted sequence of elements:
This statement is correct. By definition, an inorder traversal of a binary search tree (BST) visits nodes in ascending order, producing a sorted sequence of elements.
(C) Finding an element takes \( O(\log_2 n) \) time in the worst case:
This statement is incorrect. In the worst case (for a skewed tree), the time complexity for finding an element can be \( O(n) \), not \( O(\log n) \).
(D) Every BST is also a Min-Heap:
This statement is incorrect. A Min-Heap is a complete binary tree where the value of each node is less than or equal to the values of its children. A binary search tree (BST) does not necessarily satisfy the Min-Heap property.
Thus, the correct answers are \( \boxed{A} \) & \( \boxed{B} \).
Consider the following Python code: 
The maximum value of \(x\) such that the edge between the nodes B and C is included in every minimum spanning tree of the given graph is __________ (answer in integer).
The value printed by the given C program is __________ (Answer in integer).