Tata Technologies Data Engineer Interview Questions and Answers

Q1. Difference between let, const and var
Ans. 
let, const, and var are all used to declare variables in JavaScript, but they have different scopes and behaviors.
• let: block-scoped variable, can be reassigned

• const: block-scoped variable, cannot be reassigned, but its properties can be modified

• var: function-scoped variable, can be reassigned
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Q1. What's your weakness, strength, tell me more about your last project
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Q1. Managerial Round
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Q1. What is decision tree
Ans. 
A decision tree is a flowchart-like structure in which each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.
• Decision trees are a popular machine learning algorithm used for classification and regression tasks.

• They are easy to interpret and visualize, making them useful for understanding the decision-making process.

• Each internal...read more
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Q2. What are model evaluation metrics?
Ans. 
Model evaluation metrics are used to assess the performance of machine learning models.
• Model evaluation metrics help in determining how well a model is performing in terms of accuracy, precision, recall, F1 score, etc.

• Common evaluation metrics include accuracy, precision, recall, F1 score, ROC-AUC, confusion matrix, and mean squared error.

• These metrics help in comparing different models and selecting the best one for a...read more
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Twenty questions on verbal and quantitative aptitude, as well as logical reasoning.

Q1. Tell me about yourself,why should we hire you
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Q2. How do you approach and overcome challenges?
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Q1. Do you have any experience
Ans. 4 yeas experience in data entry operator & 3 yeas experience in accountent
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Q2. What the qualification
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Q3. Were you do work in previous company
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Q1. Mcdc , vnv techniques, v model
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Q2. Oops concepts,ecp and bva
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Q3. C language, structures, unions , storage classes
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Q1. Package negotiation
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Technical plus general knowledge appti

Q1. OOPS concepts and .net questions
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Q1. Salary Discussion and Company culture
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Python programming for 45 for minutes

Q1. What are the hyperparameters of SVM
Ans. 
Hyperparameters of SVM include C, kernel, gamma, degree, and coef0.
• C: Regularization parameter that controls the trade-off between achieving a low error on the training data and minimizing model complexity.

• Kernel: Specifies the type of hyperplane used to separate the data.

• Gamma: Kernel coefficient for 'rbf', 'poly', and 'sigmoid' kernels.

• Degree: Degree of the polynomial kernel function.

• Coef0: Independent term in kernel...read more
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Q2. How to tune that hyperparameters
Ans. 
Hyperparameters can be tuned using techniques like grid search, random search, and Bayesian optimization.
• Grid search: Exhaustively search through a specified subset of hyperparameters.

• Random search: Randomly sample hyperparameter combinations.

• Bayesian optimization: Use probabilistic models to predict the performance of different hyperparameter configurations.
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