Xoriant Interview Questions, Process, and Tips

Q1. Tell me something about yourself
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Q2. SQL queries on Joins, subqueries and functions.
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Q1. Basic interview question
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Q1. Basic interview questions
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Q1. Basic info of application development and upload process
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Q1. What is slice , Coding example on interface, What is difference between concurrency and parallelism
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Slice is a dynamically-sized, flexible view of elements in an array. Concurrency is the ability to run multiple tasks at the same time, while parallelism is the actual execution of multiple tasks simultaneously.
• Slice in Go is a reference to a portion of an array. It allows for dynamic resizing and manipulation of elements.

• Example: var s []int = make([]int, 5) // creates a slice of length 5

• Interfaces in Go define a set ...read more
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Q2. Coding questions on interface
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Coding questions on slice and go routines

Q1. What is List Comprehension
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List comprehension is a concise way to create lists in Python by iterating over an existing list or iterable.
• Syntax: [expression for item in iterable]

• Can include conditions: [expression for item in iterable if condition]

• Can be nested: [[i*j for j in range(1, 4)] for i in range(1, 4)]

• Can be used to create new lists from existing lists efficiently
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Q2. What are the types of Serializers in Django
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Types of Serializers in Django include ModelSerializer, Serializer, and HyperlinkedModelSerializer.
• ModelSerializer: Used to serialize Django model instances.

• Serializer: Generic serializer class for custom data serialization.

• HyperlinkedModelSerializer: Includes hyperlinks to related resources in the serialized data.
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Q1. Agile Methologies
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Q1. Database Testing Concepts and queries
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Q1. Prime number program
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A prime number program checks if a given number is only divisible by 1 and itself.
• Check if the number is greater than 1

• Iterate from 2 to the square root of the number and check for divisibility

• If no divisors found, the number is prime
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Q2. Fibbonacci series optimal solution
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The optimal solution for generating Fibonacci series efficiently.
• Use dynamic programming to store previously calculated values to avoid redundant calculations.

• Implement a recursive function with memoization to store and reuse calculated values.

• Iterate through the series using a loop to generate Fibonacci numbers efficiently.
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