Binary Trees
1. A binary tree whose every node has either zero or two children is called
A.  Complete binary tree B.  Binary search tree C.  Extended binary tree D.  None of above
2. The depth of a complete binary tree is given by
A.  Dn = n log2n B.  Dn = n log2n+1 C.  Dn = log2n D.

Dn = log2 (n+1)

3. When representing any algebraic expression E which uses only binary operations in a 2-tree
A.  the variable in E will appear as external nodes and operations in internal nodes B.  the operations in E will appear as external nodes and variables in internal nodes C.  the variables and operations in E will appear only in internal nodes D.  the variables and operations in E will appear only in external nodes
4. A binary tree can easily be converted into q 2-tree
A.  by replacing each empty sub tree by a new internal node B.  by inserting an internal nodes for non-empty node C.  by inserting an external nodes for non-empty node D.  by replacing each empty sub tree by a new external node
5. . When converting binary tree into extended binary tree, all the original nodes in binary tree are
A.  internal nodes on extended tree B.  external nodes on extended tree C.  vanished on extended tree D.  None of above
6. The post order traversal of a binary tree is DEBFCA. Find out the pre order traversal
A.  ABFCDE B.  ADBFEC C.  ABDECF D.  ABDCEF
7. An algorithm that calls itself directly or indirectly is known as
A.  Sub algorithm B.  Recursion C.  Polish notation D.  Traversal algorithm
8. In a binary tree, certain null entries are replaced by special pointers which point to nodes higher in the tree for efficiency. These special pointers are called
A.  Leaf B.  branch C.  path D.  thread
9. The in order traversal of tree will yield a sorted listing of elements of tree in
A.  Binary trees B.  Binary search trees C.  Heaps D.  None of above
10. The complexity of Binary search algorithm is
A.  O(n) B.  O(log ) C.  O(n^2) D.  O(n log n)