SAP SDE (Software Development Engineer) Interview Questions and Answers

Q1. 9 questions were there including sql, coding ,and few mcqs
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Q1. One questions based on Convex hull
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Q1. About years of experience
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Q2. Current role and expertise
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I am currently working as a Software Development Engineer with expertise in web development and cloud computing.
• Proficient in programming languages like Java, Python, and JavaScript

• Experience in developing and maintaining web applications using frameworks like React and Angular

• Knowledge of cloud computing platforms such as AWS and Azure

• Familiarity with database management systems like MySQL and MongoDB

• Strong problem-so
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Q1. Java object oriented questions
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Q2. Data structures related questions
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Q3. Given small coding problem on duplicate string
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Q1. Question was related to the tree
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Q2. Searching time of bst
Ans. 
BST search time is O(log n) on average, but can be O(n) in worst case.
• BST search time depends on the height of the tree

• On average, height is log base 2 of n

• Worst case is when the tree is unbalanced and height is n

• Example: searching for a value in a balanced BST with 1024 nodes takes at most 10 comparisons
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Q1. How much salary do u except
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Q2. What is your eduction qualification
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I have a Bachelor's degree in Computer Science.
• Bachelor's degree in Computer Science

• Completed courses in programming languages, algorithms, data structures, and software engineering

• Participated in various coding competitions and hackathons
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Q1. It was online technical interview round with some good java coding programs. Not as tough but as expected for a mid level experience programmer. String Arrays other
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Q1. Java programming interview with some advance level programming questions BDD UI Automation Stack Algorithms String Arrays etc
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Q1. Linux Java Framework level questions
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Q1. Time complexity of the program wriitten
Ans. 
The time complexity of the program is O(nlogn).
• The program has a divide and conquer algorithm.

• The program has nested loops.

• The program has a recursive function.
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Q2. Design the algorithm with less time complexity
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Design an algorithm with less time complexity.
• Use efficient data structures like hash tables, binary trees, etc.

• Avoid nested loops and recursion if possible.

• Try to optimize the code by reducing redundant operations.

• Use dynamic programming to solve complex problems.

• Consider parallel processing for large datasets.

• Use built-in functions and libraries instead of writing custom code.

• Profile the code to identify bottlenecks
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Aptitude test was of medium level with some pseudo-code o/p questions

Sort array based on frequency,etc