Urbanpiper Technology Python Developer Interview Questions and Answers

Its was data structure and algorithm and SQL round 4 question of dsa and 2 question of sql

Q1. How does OTP less work make a systematic diagram for it/
Ans. 
OTP less work eliminates the need for one-time passwords for authentication.
• OTP less work uses alternative methods like biometrics, push notifications, or hardware tokens for authentication.

• It provides a more seamless and user-friendly authentication experience.

• Examples include fingerprint scanning on smartphones or security keys for two-factor authentication.
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Q1. Everything related to yourself.
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Q1. Logical Task based on backend and analytics
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Q2. Make a website clone
Ans. 
To clone a website, you need to replicate its design, functionality, and content.
• Study the website's design and layout

• Identify the technologies used for development

• Replicate the functionality and features

• Ensure the content is accurate and up-to-date
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Aptitude test was simple.

Q1. Asked 2 questions from recursion.
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Q1. Simple HR round.
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50 questions in 12 minutes mostly test your arthimetic, logical knowledge.

3 coding questions in 90 mins, 1st one is from arrays an easy question, 2nd one is related to stacks and queues relatively harder and last one is hard which i am also unable to attempt. I cracked the first two questions and my solutions passed all the test cases.

Q1. Difference between sorting algorithms
Ans. 
Sorting algorithms are methods used to arrange elements in a specific order.
• Different sorting algorithms include bubble sort, selection sort, insertion sort, merge sort, quick sort, and heap sort.

• Some algorithms are more efficient than others depending on the size of the data set and the initial order of the elements.

• For example, quick sort is generally faster than bubble sort for large data sets.
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Q2. BFS and DFS in trees and imlementing them
Ans. 
BFS and DFS are traversal algorithms used in trees. BFS explores level by level, while DFS explores depth first.
• BFS (Breadth-First Search) visits nodes level by level, using a queue. Example: traversing a binary tree level by level.

• DFS (Depth-First Search) explores as far as possible along each branch before backtracking. Example: in-order traversal of a binary tree.
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Q3. Sql questions and database questions
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Q1. Tell me about yourself
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Q2. Explain the college life
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Question from Array,DP

Q1. Resume based only
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Q2. Data structure and algorithms
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Q3. Object oriented programmings
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Q1. Behavioural questions
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3 Coding question medium level

Q1. Asked 3 coding queston and some basis CS questions
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Q1. Basic resume based questions
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Q2. Explain your internship experience
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Q1. Basic resume based questions
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