Software Engineer

Tip 1: Study CPU scheduling algorithms in detail.
Tip 2: Read the question carefully.

Tip 1: Practice predicting output questions. 

Tip 2: Keep a pen and paper by your side.

We used the backtracking approach:

Step 1: Input the 9x9 Sudoku puzzle grid; let's call it "grid."

Step 2: Create a function to check if a given digit can be placed in a specific cell of the grid without violating the Sudoku rules. The function should check if the digit is not present in the same row, column, or 3x3 sub-grid as the cell.

Step 3: Create a function to find an empty cell in the grid. The function should return the row and column indices of the first empty cell it encounters or return None if there are no empty cells left.

Step 4: Create a recursive function to solve the Sudoku puzzle using backtracking. The function should do the following:
a) Find an empty cell using the function from Step 3.
b) If there are no empty cells left, return True (puzzle solved).
c) For each digit from 1 to 9, do the following:
  -> Check if the digit can be placed in the empty cell without violating the rules using the function from Step 2.
  -> If it can be placed, update the cell with the digit and recursively call the solve function.
  -> If the recursive call returns True, it means the puzzle is solved, so return True.
  -> If the recursive call returns False, undo the placement (set the cell back to empty) and try the next digit.
  -> If all digits have been tried and none of them can be placed, return False (backtrack).

Step 5: Call the solve function to solve the Sudoku puzzle. If the function returns True, the puzzle is solved.

Step 6: Output the solved Sudoku grid.

Tip 1: Read the question carefully.
Tip 2: Study OOPS in detail.

Tip 1: Practice predicting output questions.
Tip 2: Keep pen and paper by your side

Tip 1: Study SQL commands in detail.
Tip 2: Read the question carefully.

I told Quicksort is best and implemented the code as:

Step 1: Input the array to be sorted, let's call it "arr," and its starting and ending indices, "low" and "high" respectively. Initially, "low" should be the index of the first element (0) and "high" should be the index of the last element (n-1) of the array, where n is the size of the array.
Step 2: If the "low" index is greater than or equal to the "high" index, return (base case).
Step 3: Choose a "pivot" element from the array. This can be any element from the array, but a common approach is to pick the element at the middle index (low + (high - low) // 2).
Step 4: Partition the array into two sub-arrays:
a) Elements less than the pivot (left_subarray) are moved to the left side of the pivot.
b) Elements greater than the pivot (right_subarray) are moved to the right side of the pivot.
c) The pivot element is now in its correct sorted position.
Step 5: Recursively apply the Quicksort algorithm to the left_subarray:
Call Quicksort(arr, low, pivot_index - 1).
Step 6: Recursively apply the Quicksort algorithm to the right_subarray:
Call Quicksort(arr, pivot_index + 1, high).
Step 7: The array is now sorted in place, and no additional merging is required."

Corrected version:
"I said that Quicksort is the best and implemented the code as follows:

Step 1: Input the array to be sorted, called "arr," and its starting and ending indices, "low" and "high" respectively. Initially, "low" should be the index of the first element (0) and "high" should be the index of the last element (n-1) of the array, where n is the size of the array.
Step 2: If the "low" index is greater than or equal to the "high" index, return (base case).
Step 3: Choose a "pivot" element from the array. This can be any element from the array, but a common approach is to pick the element at the middle index (low + (high - low) // 2).
Step 4: Partition the array into two sub-arrays:
a) Elements less than the pivot (left_subarray) are moved to the left side of the pivot.
b) Elements greater than the pivot (right_subarray) are moved to the right side of the pivot.
c) The pivot element is now in its correct sorted position.
Step 5: Recursively apply the Quicksort algorithm to the left_subarray:
Call Quicksort(arr, low, pivot_index - 1).
Step 6: Recursively apply the Quicksort algorithm to the right_subarray:
Call Quicksort(arr, pivot_index + 1, high).
Step 7: The array is now sorted in place, and no additional merging is required.

Tip 1: Study SQL in detail.
Tip 2: Hear the question carefully.

Tip 1: Study deadlock in operating system.
Tip 2: Answer confidently.

Tip 1: As I told Python as my favorite language, thus, they asked questions from Python, hence, tell your preferred language.
Tip 2: Answer confidently.

Tip 1: Research about the company well and prepare this question.
Tip 2: Answer confidently.

Tip 1: Don't speak lie, tell the offer if you have any.
Tip 2: Answer confidently.

Tip 1: Tell strengths and weakness which are beneficial for company.
Tip 2: Answer confidently.

Tip 1: Tell about the project which you can explain in detail.
Tip 2: Answer confidently.