A default gateway routes traffic from a local network to external networks, allowing devices to communicate outside their subnet.

The default gateway is used to route traffic from a local subnet to destinations outside the subnet, typically to the internet.

A router forwards data packets between different networks, making it essential for inter-network communication.

The 'Content-Type' header in an HTTP response indicates the media type of the resource being sent, allowing the client to understand how to process it.

Gini impurity is used to determine the best split at each node in a Decision Tree, helping to create more homogeneous child nodes.

The height of a balanced binary tree with n nodes is O(log n).

The height of a binary tree with a single node is 0, as height is defined as the number of edges on the longest path from the node to a leaf.

In the worst case, the height of a binary tree with n nodes can be O(n), which occurs when the tree is skewed.

The height of a binary tree with only one node is 0, as height is defined as the number of edges on the longest path from the root to a leaf.

The height of a complete binary tree with n nodes is log(n + 1).

The initial distance value assigned to the source vertex is 0, as it is the starting point of the path.

The tentative distance of the source node is initialized to zero, as it is the starting point of the path.

The initial value of the tentative distance for the source node is set to 0, as it is the starting point.

The key difference is that dynamic programming considers all possible solutions, while greedy algorithms make local optimal choices.

In the subnet 10.0.0.0/8, the last valid host address is 10.255.255.254, as 10.255.255.255 is the broadcast address.

The level order traversal visits nodes level by level, resulting in [1, 2, 3].

In level-order traversal, nodes are visited level by level from top to bottom, resulting in A, B, C.

Level-order traversal visits nodes from top to bottom and left to right.

Binary search has a time complexity of O(log n), which is significantly better than the O(n) of linear search.

Dijkstra's algorithm is generally faster than the Bellman-Ford algorithm for graphs with non-negative weights.

Hierarchical clustering does not require the number of clusters to be predetermined, allowing for more flexibility in analysis.

Hierarchical clustering creates a dendrogram, which provides a visual representation of the data's clustering structure.

Balanced trees have reduced height compared to unbalanced trees, leading to faster operations such as search, insert, and delete.

Binary trees can grow and shrink dynamically, allowing for efficient insertions and deletions, unlike arrays which have a fixed size.

A deque (double-ended queue) allows for adding and removing elements from both ends, providing more flexibility than a regular queue.

Dynamic arrays can resize themselves when they reach capacity, allowing for more flexible memory usage.

Using a Fibonacci heap can reduce the time complexity of Dijkstra's algorithm to O(E + V log V), making it more efficient for dense graphs.

Using a Fibonacci heap improves the time complexity for decrease-key operations, making Dijkstra's algorithm more efficient.

Linked lists can grow and shrink in size dynamically, unlike arrays which have a fixed size.

Using a priority queue allows Dijkstra's algorithm to efficiently retrieve and process the node with the smallest tentative distance next.