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Convin Backend Developer Intern Interview Questions and Answers

Updated 26 Sep 2024

Q1. Which sorting method is beneficial in which scenario

Ans.

Different sorting methods are beneficial in different scenarios based on factors like time complexity, space complexity, and input size.

  • Quick Sort: Best for large datasets due to its average time complexity of O(n log n)

  • Bubble Sort: Simple and easy to implement, but inefficient for large datasets with its time complexity of O(n^2)

  • Merge Sort: Stable and efficient for large datasets with its time complexity of O(n log n)

  • Insertion Sort: Efficient for small datasets or nearly sor...read more

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Q2. The protocol behind Web Sockets (because it was in my resume)

Ans.

Web Sockets is a communication protocol that provides full-duplex communication channels over a single TCP connection.

  • Web Sockets allow for real-time, bi-directional communication between a client and a server.

  • They are commonly used in chat applications, online gaming, and live data streaming.

  • Web Sockets use the ws:// or wss:// protocol scheme in URLs.

  • The protocol is initiated with a handshake between the client and server.

  • Once the connection is established, data can be sent ...read more

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Convin Backend Developer Intern Interview Questions and Answers for Freshers
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Q3. Examples and description of asymmetric encryption alogorithms

Ans.

Asymmetric encryption algorithms use a pair of keys to encrypt and decrypt data, providing secure communication.

  • RSA (Rivest-Shamir-Adleman) is a popular asymmetric encryption algorithm.

  • Elliptic Curve Cryptography (ECC) is another commonly used asymmetric encryption algorithm.

  • Asymmetric encryption is slower than symmetric encryption but provides better security.

  • Public key is used for encryption and private key is used for decryption in asymmetric encryption.

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Q4. Underlying data structure in Indexing and its time complexity

Ans.

Indexing typically uses data structures like B-trees or hash tables for efficient retrieval, with time complexity of O(log n) or O(1) respectively.

  • Common data structures for indexing include B-trees and hash tables

  • B-trees are typically used for indexing in databases due to their balanced nature and efficient search operations

  • Hash tables are used for indexing in scenarios where constant time lookup is desired, but may have collisions requiring additional handling

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Q5. What are ACID properties in DBMS

Ans.

ACID properties are a set of properties that guarantee reliability and consistency in database transactions.

  • Atomicity: Ensures that either all operations in a transaction are completed successfully or none at all.

  • Consistency: Ensures that the database remains in a consistent state before and after the transaction.

  • Isolation: Ensures that the execution of multiple transactions concurrently does not interfere with each other.

  • Durability: Ensures that once a transaction is committ...read more

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Q6. Time complexity of a recursive fibonacci code

Ans.

Time complexity of recursive fibonacci code is O(2^n)

  • The time complexity of a recursive fibonacci code is exponential, O(2^n)

  • This is because each call branches into two recursive calls, leading to exponential growth

  • For example, calculating fibonacci(5) would result in 15 function calls

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Q7. What is indexing in DBMS

Ans.

Indexing in DBMS is a technique used to improve the performance of queries by allowing faster retrieval of data.

  • Indexes are data structures that store a small portion of the table data in an optimized format for quick retrieval.

  • They help in speeding up data retrieval operations like SELECT, UPDATE, DELETE queries.

  • Examples of indexes include primary keys, unique keys, and composite keys.

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Q8. Difference between process and threads

Ans.

Processes are independent instances of a program, while threads are smaller units within a process sharing resources.

  • Processes have their own memory space, while threads share the same memory space within a process.

  • Processes are heavyweight, requiring more resources, while threads are lightweight.

  • Processes communicate with each other through inter-process communication mechanisms, while threads can communicate directly.

  • Example: A web browser running multiple tabs is a process...read more

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