Tip 1: Practice coding problems regularly on coding platforms to strengthen your problem-solving skills.
Tip 2: Start with the fundamentals of programming and focus on mastering one language before branching out to others.
Tip 3: Build small projects to apply what you’ve learned, as hands-on experience will reinforce your knowledge and boost your confidence.
Tip 1: Customize your resume for each job application by highlighting relevant skills and experiences that align with the job description. This makes it easier for recruiters to see your fit for the role.
Tip 2: Ensure your resume is easy to read, with a clean layout, consistent font, and well-defined sections. Use bullet points to present your experiences succinctly, making it quick for hiring managers to scan your qualifications.
There was a 3-day time window during which you could take the test anytime.
Initialize the Board: Start with the 2D board and identify its dimensions.
Traverse the Board: Use nested loops to iterate through each cell in the board.
Check for Consecutive Elements: For each cell, check if it matches its neighbours (up, down, left, right) to find K consecutive elements of the same type.
Mark for Removal: If K or more consecutive elements are found, mark them for removal.
Remove Marked Elements: Iterate through the board again to remove the marked elements by setting them to a placeholder (like zero).
Collapse the Board: Shift the remaining elements down to fill in the empty spaces.
Repeat: Continue the process until no more elements can pop out.
Two nodes of a binary tree are cousins if they have the same depth or level, but have different parents.
No two nodes in the given binary tree will have the same data values.
Breadth-First Search (BFS): Use BFS to traverse the tree level by level.
Track Parent and Depth: For each node, keep track of its parent and its depth in the tree.
Find the Nodes: As you traverse, look for the two target nodes whose cousin relationship needs to be checked.
Check Conditions: After finding both nodes, check if they have the same depth but different parents.
Return Result: Return true if they are cousins, otherwise return false.
Timing:
The interviews were conducted in the morning from 10 to 11 AM.
Environment:
The atmosphere was professional yet relaxed, with friendly interviewers that helped reduce nerves.
Can you solve each query in O(logN) ?
Step 1: I first identified that the array is sorted but rotated, which means the search could leverage binary search principles.
Step 2: I implemented a modified binary search algorithm to determine the pivot and search for the target value.
Step 3: I divided the array into two parts at the pivot and checked which part was sorted to decide where to continue the search.
Step 4: The interviewer was pleased with this efficient O(log N) approach.
Step 1: I started by iterating through the array to calculate the total petrol and total distance required for the tour.
Step 2: I checked if the total petrol was greater than or equal to the total distance; if not, the tour was impossible.
Step 3: I implemented a greedy approach to find the starting point by maintaining a current petrol balance and resetting it whenever it dropped below zero.
Step 4: The interviewer appreciated the efficient O(N) solution using a single pass through the array.
Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
Which SQL keyword removes duplicate records from a result set?