nference SDE Interview Questions and Answers

30 min exam online test with easy and medium leetcode questions. Precisely Bulls and Cow problem and remove K digits leetcode questions

Q1. 1. I was asked to create bst from preorder and inorder 2. Basic OOPs concepts 3. Question on finding the highest profit after selling the stocks
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Q2. 4. Question from projects
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Q1. Questions on React, virtual DOM and basic questions on javascript DSA questions included Linked List reversal and find a cycle in linked list
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Two easy to medium level questions

Q1. Reverse a string
Ans. 
Reverse a string by iterating through the characters and swapping them.
• Create a new string to store the reversed string

• Iterate through the original string from end to start

• Append each character to the new string

• Return the new string as the reversed string
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Q2. First and last occurrence of an element in a sorted array
Ans. 
Find the first and last occurrence of an element in a sorted array.
• Use binary search to find the first occurrence of the element.

• Modify binary search to find the last occurrence of the element.

• Handle cases where the element is not found in the array.
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Q1. Simple dsa ques and sql too
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Q1. How do you handle huge data in an API
Ans. 
Use pagination, caching, and efficient algorithms to handle large data in an API.
• Implement pagination to limit the amount of data returned in each API call.

• Use caching to store frequently accessed data and reduce the load on the database.

• Optimize algorithms for data processing to improve performance.

• Consider using asynchronous processing for time-consuming tasks.

• Utilize compression techniques to reduce the size of data
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Q2. How do you handle huge load in the DB
Ans. 
I handle huge load in the DB by optimizing queries, indexing, partitioning data, and using caching techniques.
• Optimize queries to reduce the load on the database server

• Use indexing to speed up data retrieval

• Partition data to distribute load across multiple servers

• Implement caching techniques to reduce the number of queries to the database

• Use sharding to horizontally scale the database
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