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I was interviewed in Dec 2020.
Round duration - 60 minutes
Round difficulty - Easy
The coding test was conducted on Hackerrank platform. The test was in the evening. There were two coding questions of easy difficulty. The test was proctored, our webcam was on but not the mic. Also we were not allowed to switch tabs.
About 360 students sat in this round out which 15 were shortlisted for the next interview round.
This was a very easy question as I just had to traverse both the array and maintain a count variable and a variable to store last maximum equal element encountered which I initialized to a very small number (like INT_MIN in C++) . Now while traversing whenever you encounter equal elements which are greater than last maximum equal elements then increment count by 1. In the end just print count.
Step 1 : Create a map and store count of each unique element in the array.
Step 2 : Maintain a count variable to store the number of unique pairs of elements whose sum is K.
Step 3 : Traverse the array. Let the array be called arr and arr[i] is current element in array while traversing. If value arr[i] and K-arr[i] in map is greater than 0 then increment count and make value of arr[i] and K-arr[i] in map as 0.
Tip 1 : Prepare data structures and algorithms thoroughly and practice atleast 2 to 3 questions daily for 4-5 months consistently.
Tip 2 : Have few good projects in your resume and also prepare your core subjects like Operating System, DBMS.
Tip 3 : Before interview do a little research about the company.
Tip 1 : Mention at least 2 good projects.
Tip 2 : You should be able to defend whatever you have put on your resume so don't mention anything false.
I was interviewed in Nov 2020.
Round duration - 60 minutes
Round difficulty - Medium
This was an elimination round. There were 2 coding questions. Both questions were of medium level and I solved them in a given time. After this round, 29 students got shortlisted and I was one of them.
I solved this question using the map in O(n) time complexity. First I stored the count of elements in an array then by checking the condition(k > 0 && map.containsKey(i + k) || k == 0 && map.get(i) > 1), I incremented the result by one every time when condition satisfied. Below is my code for the same.
class Solution {
public int findPairs(int[] nums, int k) {
Map map = new HashMap();
for(int num : nu...
This was a simple array problem. I solved this using question as:
Starting from the first element of the array, find the first valid sub-array and store its length then starting from the next element (the first element that wasn’t included in the first sub-array), find another valid sub-array. Repeat the process until all the valid sub-arrays have been found then print the length of the maximum sub-array.
Round duration - 60 minutes
Round difficulty - Easy
This was a technical round on Zoom. The interviewer was very friendly. He gave me one coding problem. I solved the problem and then he asked to improve time and space complexity if possible. I explained my logic very well. After this question, he asked to me explain 3NF(3rd normal form). Then we had some discussion on OOPs concepts.
We will use an array of type Pair<key, value> to implement our LRU Cache where the larger the index is, the more recently the key is used. Means, the 0th index denotes the least recently used pair, and the last index denotes the most recently used pair.
The key will be considered as accessed if we try to perform any operation on it. So while performing the get operation on a key, we will do a ...
Round duration - 60 minutes
Round difficulty - Medium
This was another technical round. The interviewer gave me a coding problem to solve.
1. Any left parenth...
We can try each of the three possibilities for every asterisk in the string with the help of recursion.
We will use a temporary string which will keep track of our current possible string. In the end, we can linearly check each possible string. If any of the possible string is a valid string, we print ‘Yes’, otherwise ‘No’.
Space Complexity: O(n)Explanation:O(N), where ‘N’ is the length of the str...
Round duration - 60 minutes
Round difficulty - Easy
Tip 1 : Work on your problem-solving skills. Solve as many questions as you can.
Tip 2 : Communication skills are very important in interviews.
Tip 3 : Do some good projects.
Tip 1 : Mention some good projects on your resume and be prepared.
Tip 2 : Do not put false things on your resume.
I applied via LinkedIn
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I was interviewed in Dec 2020.
Round duration - 60 minutes
Round difficulty - Medium
test timing: 7-8 pm
2 programming questions
webcam proctored
The idea is to use a bottom-up dynamic programming approach instead of a memoization approach. In this, we use the recurrence relation of memoization approach as dp(j) = min{dp(i) + abs(arr[i] – arr[j])} where i is in [0, N-1] and j is in [i + 1, j + K + 1], and K is number of jumps allowed.
Algorithm:
Tip 1 : Ability to apply data structures in questions(practice graph and Tree questions)
Tip 2 : Thorough knowledge of the projects done
Tip 3 : Good knowledge about computer science concepts
Tip 1 : Mention projects that you have done yourself and are thorough with
Tip 2 : mention soft skills
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