Optimal Virtual Employee Interview Questions and Answers

Use a max heap to store the 10 maximum numbers from an infinite stream of numbers.

• Implement a max heap data structure to keep track of the 10 maximum numbers.

• As new numbers come in from the infinite stream, compare them with the root of the heap.

• If the new number is greater than the root, replace the root with the new number and heapify.

• Keep the heap size limited to 10 to store only the 10 maximum numbers.

Pandas groupby function in Python is used to split data into groups based on some criteria and then apply a function to each group.

• Groupby function splits the data into groups based on the specified criteria

• It then applies a function to each group separately

• The result is a new object with the function applied to each group

Linear models assume a linear relationship between variables, while tree models use a hierarchical structure of decisions.

• Linear models assume a linear relationship between input variables and output, while tree models can capture non-linear relationships.

• Linear models are simpler and easier to interpret, while tree models can handle complex interactions between variables.

• Linear models are prone to overfitting with high-dimensional data, while tree models can handle high-dime...read more

To save a binary search tree (BST) to disk, you can serialize the tree and write it to a file.

• Serialize the BST using pre-order, in-order, or post-order traversal

• Write the serialized data to a file on disk

• When reading the data back, deserialize it to reconstruct the BST

A binary tree is a data structure where each node has at most two children.

• Start by creating a Node class with left and right child pointers.

• Implement methods to insert nodes, search for a specific value, and traverse the tree (inorder, preorder, postorder).

• Consider edge cases like inserting duplicate values or handling empty trees.

Write a SQL query

• Understand the requirements of the query

• Identify the tables and columns needed

• Use appropriate joins and conditions

• Test the query before executing