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I applied via Campus Placement and was interviewed in Nov 2021. There were 4 interview rounds.
Python is a versatile language with a simple syntax and a vast library of modules.
Easy to learn and read
Supports multiple programming paradigms
Large community and extensive documentation
Suitable for various applications such as web development, data analysis, and machine learning
Python is a high-level, interpreted programming language known for its simplicity, readability, and ease of use.
Python is dynamically typed, meaning that variable types are determined at runtime.
Python has a large standard library and a vast collection of third-party libraries.
Python is often used for web development, scientific computing, data analysis, and artificial intelligence.
Python code is typically shorter and ...
Python modules are files containing Python code that can be imported and used in other Python programs.
Modules are used to organize code into reusable and maintainable structures.
Python has a large standard library of modules that can be imported and used.
Third-party modules can also be installed and used in Python programs.
Modules can define functions, classes, and variables that can be accessed by other modules.
Modul...
Python generators are functions that return an iterator and generate values on the fly.
Generators use the 'yield' keyword to return values one at a time.
They can be used to generate an infinite sequence of values.
Generators are memory efficient as they generate values on the fly instead of storing them in memory.
Example: def my_generator(): yield 1; yield 2; yield 3;
Example: for num in my_generator(): print(num)
Python iterators are objects that allow iteration over a collection of elements.
Iterators are used to loop through a collection of elements, one at a time.
They implement the __iter__() and __next__() methods.
The __iter__() method returns the iterator object and the __next__() method returns the next element in the sequence.
Iterators can be created using iter() function or by defining a class that implements the require...
Python has two types of constructors - default and parameterized constructors.
Default constructor has no parameters and is automatically called when an object is created.
Parameterized constructor takes parameters and is used to initialize the object's attributes.
Example of default constructor: def __init__(self):
Example of parameterized constructor: def __init__(self, name, age):
Yes, Python has a destructor called __del__().
The __del__() method is called when an object is about to be destroyed.
It is used to perform cleanup operations before the object is destroyed.
The __del__() method is not guaranteed to be called, so it should not be relied upon for critical cleanup operations.
Python uses automatic memory management through garbage collection.
Python uses reference counting to keep track of memory usage.
Objects with no references are automatically deleted by the garbage collector.
Python also has a built-in module called 'gc' for manual garbage collection.
Memory leaks can occur if circular references are not handled properly.
To delete a file in Python module, use the os module's remove() method.
Import the os module
Use the remove() method to delete the file
Specify the file path in the remove() method
Example: import os; os.remove('file.txt')
Python has several data types including integers, floats, strings, booleans, lists, tuples, dictionaries, and sets.
Integers represent whole numbers, e.g. 5, -10.
Floats represent decimal numbers, e.g. 3.14, -2.5.
Strings represent sequences of characters, e.g. 'hello', 'Python'.
Booleans represent either True or False.
Lists are ordered collections of items, e.g. [1, 2, 3].
Tuples are similar to lists but immutable, e.g. (1...
Variables are containers that store values while literals are values themselves.
Variables can be changed while literals cannot
Variables can be assigned to literals
Literals are used to represent fixed values
Variables are used to represent changing values
Python has five standard data types: Numbers, Strings, Lists, Tuples, and Dictionaries.
Numbers include integers, floating-point numbers, and complex numbers.
Strings are sequences of Unicode characters.
Lists are ordered sequences of values.
Tuples are ordered, immutable sequences of values.
Dictionaries are unordered collections of key-value pairs.
init() method is a constructor method in Python that is called when an object is created.
It initializes the attributes of the object.
It takes self as the first parameter.
It can be used to perform any setup required before the object is used.
It can be overridden to customize the initialization process.
Example: def __init__(self, name, age): self.name = name self.age = age
Global variables are accessible throughout the program, while local variables are only accessible within a specific function.
Global variables are declared outside of any function and can be accessed from any part of the program.
Local variables are declared within a function and can only be accessed within that function.
If a local variable has the same name as a global variable, the local variable takes precedence withi...
Slicing is a way to extract a portion of a sequence (string, list, tuple) in Python.
Slicing is done using the colon (:) operator.
The syntax for slicing is [start:stop:step].
start is the index where the slice starts (inclusive), stop is the index where the slice ends (exclusive), and step is the size of the jump between indices.
If start or stop is not specified, it defaults to the beginning or end of the sequence.
If ste...
Split method splits a string into an array of substrings based on a specified separator. Join method joins the elements of an array into a string.
Split method returns an array of strings.
Join method concatenates the elements of an array into a string.
Both methods are used to manipulate strings in JavaScript.
Example: var str = 'apple,banana,orange'; var arr = str.split(','); var newStr = arr.join('-');
Output: arr = ['ap...
I am familiar with HTML, CSS, and JavaScript for front-end development.
HTML
CSS
JavaScript
The building blocks of object oriented programming are classes, objects, inheritance, encapsulation, and polymorphism.
Classes are templates for creating objects
Objects are instances of classes
Inheritance allows classes to inherit properties and methods from parent classes
Encapsulation is the practice of hiding implementation details from users
Polymorphism allows objects to take on multiple forms
Pass by value copies the value of a variable, while pass by reference copies the address of the variable.
Pass by value creates a new copy of the variable, while pass by reference uses the original variable.
Pass by value is used for primitive data types, while pass by reference is used for objects and arrays.
Pass by value is faster and safer, while pass by reference allows for more efficient memory usage.
Pass by value c...
Operator overloading is the ability to redefine operators for user-defined types. Function overloading is the ability to define multiple functions with the same name but different parameters.
Operator overloading allows user-defined types to use operators such as +, -, *, /, etc.
Function overloading allows multiple functions to have the same name but different parameters.
Operator overloading and function overloading bot...
Joins in SQL are used to combine data from two or more tables based on a related column.
Inner join returns only the matching rows from both tables.
Left join returns all the rows from the left table and matching rows from the right table.
Right join returns all the rows from the right table and matching rows from the left table.
Full outer join returns all the rows from both tables.
Example: Inner join can be used to combi...
Indexes in SQL are used to improve query performance by allowing faster data retrieval.
Indexes are data structures that store a small portion of the table data in an easily searchable format.
Types of indexes include clustered, non-clustered, unique, and full-text indexes.
Clustered indexes determine the physical order of data in a table, while non-clustered indexes create a separate structure for faster searching.
Unique...
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 3 interview rounds.
Key topics in Generative AI include Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
RAG combines generative models with retrieval mechanisms to improve text generation.
LLMs like GPT-3 and BERT are pre-trained on large text corpora to generate human-like text.
Ethical considerations in using LLMs for text generation, such as bias and misinformation.
Applications of RAG and LLMs in natural language pro...
I have a strong understanding of the existing project and the technology stacks used.
The existing project is a data analytics platform used for analyzing customer behavior and making data-driven decisions.
The technology stacks used include Python for data processing, SQL for database management, and Tableau for data visualization.
I have experience working with machine learning algorithms such as regression, classificat
I have contributed to improving data processing efficiency by implementing advanced machine learning algorithms and optimizing existing models.
Implemented advanced machine learning algorithms to improve predictive accuracy
Optimized existing models to increase efficiency and reduce processing time
Developed automated data processing pipelines to streamline workflow
Collaborated with cross-functional teams to integrate new...
Work challenges and solutions in data science role
One challenge is handling large volumes of data efficiently, solution is implementing parallel processing techniques like MapReduce
Another challenge is ensuring data quality, solution is developing data validation processes and implementing data cleaning algorithms
Dealing with complex algorithms is a challenge, solution is continuous learning and staying updated with la
Generative AI and NLP are advanced technologies used to create content and understand human language.
Generative AI involves creating new content, such as images, music, or text, using algorithms like GANs.
NLP focuses on understanding and generating human language, used in chatbots, sentiment analysis, and language translation.
Use cases of Generative AI include deepfake videos, art generation, and text generation.
NLP is...
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Nov 2024. There were 3 interview rounds.
Migration of projects from server to cloud involves planning, testing, and executing the transfer of data and applications.
Assess the current server setup and identify all projects and data to be migrated
Choose a suitable cloud provider and plan the migration process
Test the migration process with a small project before moving larger ones
Ensure data security and compliance during the migration
Update any necessary confi
Jira project configuration involves setting up workflows, issue types, fields, permissions, and notifications.
Define issue types (e.g. bug, task, story)
Create custom fields to capture specific information
Set up workflows to define the lifecycle of an issue
Configure permissions to control who can view and edit issues
Manage notifications to keep stakeholders informed
Xoriant interview questions for popular designations
Scheduled script runs on a predefined schedule, while Map reduce script processes large datasets in parallel.
Scheduled script is used for automating tasks at specific times, like sending reports daily at 8am.
Map reduce script is used for processing large datasets by splitting them into smaller chunks and processing them in parallel.
Scheduled script is typically used for routine tasks, while Map reduce script is used fo...
Types of scripts in NetSuite include SuiteScript, SuiteTalk, SuiteFlow, and SuiteBuilder.
SuiteScript: JavaScript-based scripts for customizing NetSuite functionality.
SuiteTalk: Web services integration for connecting NetSuite with external systems.
SuiteFlow: Visual workflow tool for automating business processes.
SuiteBuilder: Customization tool for modifying NetSuite forms, fields, and records.
Get interview-ready with Top Xoriant Interview Questions
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
The basics questions are there regarding basic concepts of computer engineering
SDLC stands for Software Development Life Cycle, a process used by software development teams to design, develop, and test high-quality software.
SDLC is a structured process that consists of several phases such as planning, analysis, design, implementation, testing, and maintenance.
Each phase has its own set of activities and deliverables to ensure the successful completion of the software project.
Examples of SDLC mode...
I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
Hooks are a new addition in React 16.8 that allow you to use state and other React features without writing a class.
Hooks are functions that let you use state and other React features in functional components.
useState() is a hook that allows you to add state to functional components.
useEffect() is a hook that allows you to perform side effects in functional components.
Custom hooks are reusable functions that can contai...
Create weather application in react native with unit test scripts
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
Shift all zeros in an array to the right while maintaining the order of non-zero elements.
Iterate through the array and move all non-zero elements to the front of the array.
Fill the remaining elements with zeros.
Maintain the relative order of non-zero elements.
A decorator is a design pattern in Python that allows adding new functionality to an existing object without modifying its structure.
Decorators are denoted by the @ symbol followed by the decorator function name.
They are commonly used to modify or extend the behavior of functions or methods.
Decorators can be used for logging, timing, authentication, caching, etc.
Example: @staticmethod, @classmethod, @property
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