Chetu Interview Questions, Process, and Tips

There is an assesment which includes 35 questions and you have to finish in 30 mins. The questions includes basic aptitute and basic python question which is MCQ

Q1. There will be a telephonic interview and will asked basic python and framework questions.
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Q2. What is middleware? What are decorators?
Ans. 
Middleware is software that acts as a bridge between different applications or components.
• Middleware facilitates communication and data exchange between different software applications.

• It can be used to handle tasks such as authentication, logging, and error handling.

• Examples of middleware include Express.js in Node.js for handling HTTP requests and responses.
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Here they will test basic coding skill like decorators, basic problems like Fibonacci series, reverse without using any inbuilt functions, one sorting algorithm and searching algorithm.

Q1. Prepare for the basic questions that are very basic
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Q2. What are the types of normalization
Ans. 
Normalization is a database design technique that organizes data in a structured manner to eliminate redundancy and improve data integrity.
• Normalization helps in reducing data redundancy by breaking down a large table into smaller, more manageable tables.

• There are different normal forms, such as 1NF, 2NF, 3NF, BCNF, and 4NF, each with specific rules and dependencies.

• Normalization ensures data integrity by minimizing da...read more
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Reasoning, math, coding

Q1. MVC ,c#, JavaScript frameworks,.net core
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Q1. Face to face logically question like SQL, server MVC, JavaScript
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Ask multiple choice questions 35 from sql. python. math. time is 35 minutes

Q1. Technical round is on telephone. last for 30 minutes. ask questions on machine learning. Over fitting . what is deep learning . gradient descent . bias variance trade off . linear regression.
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Q2. What is boosting
Ans. 
Boosting is a machine learning ensemble technique that combines multiple weak learners to create a strong learner.
• Boosting iteratively trains a series of weak learners, where each subsequent learner focuses on the mistakes made by the previous ones.

• Popular boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.

• Boosting is often used in classification and regression problems to improve predictive performan
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Q3. What is bagging
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Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.
• Bagging stands for Bootstrap Aggregating

• It helps reduce overfitting by combining the predictions of multiple models

• Random Forest is a popular algorithm that uses bagging
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Q4. Why deep learning is called as deep
Ans. 
Deep learning is called 'deep' because it involves multiple layers of neural networks.
• Deep learning uses multiple layers of neural networks to learn and make decisions.

• Each layer in a deep learning model extracts different features from the input data.

• The depth of the neural network refers to the number of layers it has.

• Deep learning models are able to learn complex patterns and relationships in data.

• Examples of deep l...read more
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Q1. Ask introduction. what is logistic regression. how to remove multicollinearity . what is test error. it last for 20 minutes.
Ans. 
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is used when the dependent variable is binary (e.g. 0 or 1).

• To remove multicollinearity in logistic regression, you can use techniques like dropping one of the correlated variables or using regularization methods like Lasso or Ridge regression.

• Test error in logistic...read more
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Q2. How many types of confussion matrix
Ans. 
There are three types of confusion matrices: binary, multi-class, and multi-label.
• Binary confusion matrix is used for classification problems with two classes.

• Multi-class confusion matrix is used for classification problems with more than two classes.

• Multi-label confusion matrix is used for problems where each instance can belong to multiple classes.

• Example: In a binary classification problem, the confusion matrix woul...read more
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Q3. Types of errors
Ans. 
Types of errors in software development
• Syntax errors: Mistakes in the code structure that prevent it from running

• Logic errors: Flaws in the algorithm that lead to incorrect results

• Runtime errors: Issues that occur while the program is running, such as division by zero

• Semantic errors: Errors in the meaning of the code that may not be caught by the compiler
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