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I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
Basic NodeJS related to commands like npm list, npm install etc. and aptitude questions asked related to average and logical questions. Very easy round if you know beginner level maths and done little bit of work around nodejs
Very basic output based questions around printing name of each object present inside array of object, hoisting based questions etc.
Please pose a question related to Python and also write a Python program, in addition to inquiring about Django.
Chetu interview questions for popular designations
Object-oriented programming concepts like inheritance, encapsulation, polymorphism, and abstraction.
Inheritance: Allows a class to inherit properties and behavior from another class.
Encapsulation: Bundling data and methods that operate on the data into a single unit.
Polymorphism: Ability to present the same interface for different data types.
Abstraction: Hiding the complex implementation details and showing only the ne
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I applied via Approached by Company and was interviewed in Dec 2023. There were 4 interview rounds.
Mcq on sql, python, syntax, english sentence
Building an xgboost model involves training a gradient boosting algorithm for classification or regression tasks.
Install xgboost library using pip install xgboost
Import necessary libraries like xgboost, numpy, and pandas
Prepare the data by splitting into training and testing sets
Instantiate an xgboost classifier or regressor object
Fit the model on the training data using the fit method
Make predictions on the test data
Remove spaces from dataframe, concatenate first and last name, and add new column.
Use str.replace() to remove spaces from dataframe columns.
Use str.cat() to concatenate first and last name.
Use df['new_column'] = concatenated_names to add new column.
Creating a simple Artificial Neural Network (ANN) using Tensorflow.
Import the necessary libraries like tensorflow and numpy.
Define the input layer, hidden layers, and output layer.
Compile the model with appropriate loss function and optimizer.
Train the model using training data.
Evaluate the model using test data.
I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.
It was CAD Developer position so they asked about cad and some aptitude questions.
1. What is Playwright, and how does it differ from Selenium?
2. How do you handle authentication in Playwright for multiple users?
3. Explain how to run tests in parallel using Playwright.
4. Describe how you would handle waiting for elements in Playwright.
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
You can get the information and answer in Google
Bayes' rule is a fundamental concept in probability theory that allows us to update our beliefs based on new evidence.
Bayes' rule is named after Thomas Bayes, an 18th-century mathematician.
It is also known as Bayes' theorem or Bayes' law.
Bayes' rule calculates the probability of an event based on prior knowledge and new evidence.
It is commonly used in machine learning and statistical inference.
The formula for Bayes' ru...
I applied via Approached by Company
There is MCQ question categories reasoning math logical puzzle etc.
Assign some coding questions it will online on zoom and it will be final round
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The duration of Chetu interview process can vary, but typically it takes about less than 2 weeks to complete.
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