Oberoi Flight Services Interview Questions and Answers

Q1. Basic questions for .Net and stored procedure
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Q2. Questions like functions and sp difference, solid principles etc.
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Q1. Two programs based on hacker earth test.
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Q1. Use less questions based on 25 horses running a race ...
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Q2. Question based on reverse a string
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Q3. Question on git commands(who asks these)
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Q4. Questions based on stack and heap memory
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Q5. Questions on explaining useless unworthy questions having no relevance to any experience of work.
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Q1. What is the internal implementation of Hashing and what is collision?
Ans. 
Hashing is a technique used to map data to a fixed-size array, collision occurs when two different inputs produce the same hash value.
• Hashing involves using a hash function to map data to a fixed-size array.

• Collision happens when two different inputs produce the same hash value.

• Common techniques to handle collisions include chaining and open addressing.
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Q2. Is time complexity of HashMap always O(1) ?
Ans. 
No, time complexity of HashMap is not always O(1).
• Time complexity of HashMap is O(1) on average, but can degrade to O(n) in worst case scenarios.

• Worst case scenarios include hash collisions, which can lead to linear probing and degrade performance.

• Load factor and capacity of the HashMap can also affect time complexity.

• In scenarios where many keys hash to the same index, the time complexity can degrade.
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Q1. Yet to have the interview. Ambition box is forcefully making me enter these details
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So many coding words and also maths Question in percentage of clothes price about nature types

Q1. Math percentage question answer, about clothes and buying products.
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Q2. Half about nature and some natural resources.
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Q3. All about country's details type question and half about nature type
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Q4. Some about maths percentage of buying clothes types question
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Q5. And some rock type material type question
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10 th pass Question Ans and are very easy to solve i like it very much i try to do my best.

Q1. Explain how did you handle the imbalance in data
Ans. 
I handled data imbalance by using techniques like oversampling, undersampling, SMOTE, or using ensemble methods.
• Used oversampling to increase minority class instances

• Used undersampling to decrease majority class instances

• Applied SMOTE (Synthetic Minority Over-sampling Technique) to generate synthetic samples for minority class

• Utilized ensemble methods like Random Forest or Gradient Boosting to handle imbalance
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Q2. Write a sql query for the given problem statement. Can be solved using advanced concepts like lead and lag
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Advanced sql and basics of data science

Array String Data strucure, pyhon, java

India vs pak , india vs russia

Poster design related to hill climbing