Tip 1: Learn the basics by heart because if your basics are clear more than half interview is cleared already also learn one framework and build the project on top of that.
Tip 2: Try to solve the question with more than one solution it will help you optimize your code during the interview, It is always a good thing to have.
Tip 3: companies don't expect you to have the knowledge of many technologies they hire for one job role so make sure to learn what is needed for you the most
Tip 1: Mention projects which you worked on
Tip 2: Be precise your CV should look clean and nice mention all your work-related information not anything without context
HR round was mostly regarding my expectation and experience,
the interviewer was kind and she also know about the tech so she asked me some questions on tech
Tell me about your past company experience
Tip 1: What project you worked on
Tip 2: What technologies have you worked on
Tip 3: How you handled pressure

1. Replace any subarray of the array with the sum of the elements in the subarray. For example :- If we have an array 'A' = [2, 3, 5, 6, 1], then we can replace the subarray from index 1 to index 3 (0-based indexing) i.e. [3, 5, 6] with its sum i.e. 3 + 5 + 6 = 14 to get 'A' = [2, 14, 1].
Let 'N' = 4, 'M' = 5, 'A' = [2, 1, 4, 3], 'B' = [2, 5, 1, 1, 1].
We can perform operations on 'A' from index 2 to 3 and on 'B' from index 3 to 5 (1-based indexing).
'A' and 'B' after performing the operation is [2, 5, 3].
The maximum possible length is 3.
Sorting the array: Sort both the arrays and in a single traversal compare their values at each index.
Using hash: Create a hash table or hash map for both the arrays that will contain the values and their occurrences in the arrays and compare them.



'K' must be less than or equal to the number of distinct elements in the given array.
Consider '0’ based indexing of the elements in the given array.
Print all indexes in increasing order.
If, 'ARR' = [4, 2, 4, 2, 1], and K = 2. Then output will be 0, 1, 2, 3.
In order to find the first occurrence of the element in an array of k times. We will use the hashmap approach to find a solution that is efficient. We are going to create a hashmap with a key-value pair of array elements and the occurrence of those elements. After that, we will iterate a loop and compare the value of k with the hash key values until we find the first occurrence.



Input:
'a' = [1, 2, 4, 5], 'n' = 5
Output :
3
Explanation: 3 is the missing value in the range 1 to 5.
We know that the sum of elements from range 1 to n is: \frac{(n(n+1)}{2}
2
(n(n+1)
. Now find the sum of the elements from the given list, the difference between these two values gives the missing number from the given list.

Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
What is recursion?