"Sorted the array and stored the minimum difference in a variable and then traversed the array for the pairs having minimum difference"
Aashka C. - "Sorted the array and stored the minimum difference in a variable and then traversed the array for the pairs having minimum difference"See full answer
"from collections import deque
def updateword(words, startword, end_word):
if end_word not in words:
return None # Early exit if end_word is not in the dictionary
queue = deque([(start_word, 0)]) # (word, steps)
visited = set([start_word]) # Keep track of visited words
while queue:
word, steps = queue.popleft()
if word == end_word:
return steps # Found the target word, return steps
for i in range(len(word)):
"
叶 路. - "from collections import deque
def updateword(words, startword, end_word):
if end_word not in words:
return None # Early exit if end_word is not in the dictionary
queue = deque([(start_word, 0)]) # (word, steps)
visited = set([start_word]) # Keep track of visited words
while queue:
word, steps = queue.popleft()
if word == end_word:
return steps # Found the target word, return steps
for i in range(len(word)):
"See full answer
"Similar to LRU, Keep a Sorted LinkedList based on ranks. To improve efficiency of storage changed to PriorityQueue (minHeap). Later was asked about threading and how you can scale it in a distributed system"
Arjun R. - "Similar to LRU, Keep a Sorted LinkedList based on ranks. To improve efficiency of storage changed to PriorityQueue (minHeap). Later was asked about threading and how you can scale it in a distributed system"See full answer
"SELECT employees.first_name,
managers.salary AS manager_salary
FROM employees
LEFT JOIN employees AS managers
ON employees.manager_id = managers.id
WHERE employees.salary > managers.salary
`"
Tiffany A. - "SELECT employees.first_name,
managers.salary AS manager_salary
FROM employees
LEFT JOIN employees AS managers
ON employees.manager_id = managers.id
WHERE employees.salary > managers.salary
`"See full answer
"2 Approaches:
1) The more intuitive approach is doing a multi-source BFS from all cats and storing the distance of closest cats. Then do a dfs/bfs from rat to bread.
Time Complexity: O(mn + 4^L) where L is path length, worst case L could be mn
Space Complexity: O(m*n)
2) The first approach should be fine for interviews. But if they ask to optimize it further, you can use Binary Search. Problems like "Finding max of min distance" or "Finding min of max" could be usually solved by BS.
"
Karan K. - "2 Approaches:
1) The more intuitive approach is doing a multi-source BFS from all cats and storing the distance of closest cats. Then do a dfs/bfs from rat to bread.
Time Complexity: O(mn + 4^L) where L is path length, worst case L could be mn
Space Complexity: O(m*n)
2) The first approach should be fine for interviews. But if they ask to optimize it further, you can use Binary Search. Problems like "Finding max of min distance" or "Finding min of max" could be usually solved by BS.
"See full answer
"Reversing a linked list is a very popular question. We have two approaches to reverse the linked list: Iterative approach and recursion approach.
Iterative approach (JavaScript)
function reverseLL(head){
if(head === null) return head;
let prv = null;
let next = null;
let cur = head;
while(cur){
next = cur.next; //backup
cur.next = prv;
prv = cur;
cur = next;
}
head = prv;
return head;
}
Recursion Approach (JS)
function reverseLLByRecursion("
Satyam S. - "Reversing a linked list is a very popular question. We have two approaches to reverse the linked list: Iterative approach and recursion approach.
Iterative approach (JavaScript)
function reverseLL(head){
if(head === null) return head;
let prv = null;
let next = null;
let cur = head;
while(cur){
next = cur.next; //backup
cur.next = prv;
prv = cur;
cur = next;
}
head = prv;
return head;
}
Recursion Approach (JS)
function reverseLLByRecursion("See full answer
"Since the problem asks for a O(logN) solution, I have to assume that the numbers are already sorted, meaning the same number are adjacent to each other, the value of the numbers shouldn't matter, and they expect us to use Binary Search.
First, we should analyze the pattern of a regular number array without a single disrupter.
Index: 0 1 2 3 4. 5 6. 7. 8. 9
Array:[1, 1, 2, 2, 4, 4, 5, 5, 6, 6]
notice the odd indexes are always referencing the second of the reoccurring numbers and t"
Bamboo Y. - "Since the problem asks for a O(logN) solution, I have to assume that the numbers are already sorted, meaning the same number are adjacent to each other, the value of the numbers shouldn't matter, and they expect us to use Binary Search.
First, we should analyze the pattern of a regular number array without a single disrupter.
Index: 0 1 2 3 4. 5 6. 7. 8. 9
Array:[1, 1, 2, 2, 4, 4, 5, 5, 6, 6]
notice the odd indexes are always referencing the second of the reoccurring numbers and t"See full answer
"select employeename, employeeid, salary, department, DR
from (
select employeename, employeeid, salary, dense_rank() over (partition by department order by salary desc) DR, department from employee
)
where DR <=3
order by department, DR"
Sreeram reddy B. - "select employeename, employeeid, salary, department, DR
from (
select employeename, employeeid, salary, dense_rank() over (partition by department order by salary desc) DR, department from employee
)
where DR <=3
order by department, DR"See full answer
"public static boolean isPalindrome(String str){
boolean flag = true;
int len = str.length()-1;
int j = len;
for(int i=0;i<=len/2;i++){
if(str.charAt(i)!=str.charAt(j--)){
flag = false;
break;
}
}
return flag;
}"
Sravanthi M. - "public static boolean isPalindrome(String str){
boolean flag = true;
int len = str.length()-1;
int j = len;
for(int i=0;i<=len/2;i++){
if(str.charAt(i)!=str.charAt(j--)){
flag = false;
break;
}
}
return flag;
}"See full answer
"Used Recursive approach to traverse the binary search tree and sum the values of the nodes that fall within the specified range [low, high]"
Srikant V. - "Used Recursive approach to traverse the binary search tree and sum the values of the nodes that fall within the specified range [low, high]"See full answer
"I firstly discuss the brute force approach in O(n^2) time complexity , than i moved to O(nlogn) tine complexity than i discussed the O(n) time complexity and O(n) space complexity . But interviewer want more optimised solution , in O(n) time complexity without using extra space ,
The solution wants O(1) space complexity i have to do changes in same array without using any space . This method is something like i have to place positive values to its original position by swapping and rest negativ"
Anni P. - "I firstly discuss the brute force approach in O(n^2) time complexity , than i moved to O(nlogn) tine complexity than i discussed the O(n) time complexity and O(n) space complexity . But interviewer want more optimised solution , in O(n) time complexity without using extra space ,
The solution wants O(1) space complexity i have to do changes in same array without using any space . This method is something like i have to place positive values to its original position by swapping and rest negativ"See full answer
"This was a 60 minute assessment. The clock is ticking and you're being observed by a senior+ level engineer. Be ready to perform for an audience.
The implementation for the system gets broken up into three parts:
Implement creating accounts and depositing money into an account by ID
Implement transferring money with validation to ensure the accounts for the transfer both exist and that the account money is being removed from has enough money in it to perform the transfer
Implement find"
devopsjesus - "This was a 60 minute assessment. The clock is ticking and you're being observed by a senior+ level engineer. Be ready to perform for an audience.
The implementation for the system gets broken up into three parts:
Implement creating accounts and depositing money into an account by ID
Implement transferring money with validation to ensure the accounts for the transfer both exist and that the account money is being removed from has enough money in it to perform the transfer
Implement find"See full answer
"Batch Packing Problem
In Amazon’s massive warehouse inventory, there are different types of products. You are given an array products of size n, where products[i] represents the number of items of product type i. These products need to be packed into batches for shipping.
The batch packing must adhere to the following conditions:
No two items in the same batch can be of the same product type.
The number of items packed in the current batch must be strictly greater than the number pack"
Anonymous Goat - "Batch Packing Problem
In Amazon’s massive warehouse inventory, there are different types of products. You are given an array products of size n, where products[i] represents the number of items of product type i. These products need to be packed into batches for shipping.
The batch packing must adhere to the following conditions:
No two items in the same batch can be of the same product type.
The number of items packed in the current batch must be strictly greater than the number pack"See full answer
"
Compare alternate houses i.e for each house starting from the third, calculate the maximum money that can be stolen up to that house by choosing between:
Skipping the current house and taking the maximum money stolen up to the previous house.
Robbing the current house and adding its value to the maximum money stolen up to the house two steps back.
package main
import (
"fmt"
)
// rob function calculates the maximum money a robber can steal
func maxRob(nums []int) int {
ln"
VContaineers - "
Compare alternate houses i.e for each house starting from the third, calculate the maximum money that can be stolen up to that house by choosing between:
Skipping the current house and taking the maximum money stolen up to the previous house.
Robbing the current house and adding its value to the maximum money stolen up to the house two steps back.
package main
import (
"fmt"
)
// rob function calculates the maximum money a robber can steal
func maxRob(nums []int) int {
ln"See full answer
"SELECT
s.Sale_Date,
SUM(si.Quantity * si.SalePrice) AS TotalRevenue
FROM Sales s
JOIN SaleItems si ON s.SaleID = si.Sale_ID
GROUP BY s.Sale_Date
ORDER BY s.Sale_Date;
"
Bala G. - "SELECT
s.Sale_Date,
SUM(si.Quantity * si.SalePrice) AS TotalRevenue
FROM Sales s
JOIN SaleItems si ON s.SaleID = si.Sale_ID
GROUP BY s.Sale_Date
ORDER BY s.Sale_Date;
"See full answer