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I applied via Other and was interviewed in Jun 2021. There were 3 interview rounds.
SDLC stands for Software Development Life Cycle, a process used to design, develop, and maintain software.
SDLC is a framework that outlines the steps involved in software development.
It includes planning, designing, coding, testing, and maintenance.
Each phase of SDLC has its own set of deliverables and objectives.
SDLC helps ensure that software is developed efficiently, on time, and within budget.
Examples of SDLC model
DBMS stands for Database Management System. It is a software system that allows users to define, create, maintain and control access to databases.
DBMS is used to manage large amounts of data efficiently.
It provides a way to store, retrieve and manipulate data in a structured way.
Examples of DBMS include MySQL, Oracle, and Microsoft SQL Server.
DBMS allows multiple users to access the same data simultaneously.
It provides...
I applied via Campus Placement and was interviewed in Mar 2024. There was 1 interview round.
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
Hyperparameters are parameters that are set before the learning process begins.
Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.
Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.
Training data is fed into the neural network, and the network's output is compared to the des...
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It can be identified when a model performs well on training data but poorly on unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early ...
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Aptitude was quite easy with simple python questions
Asked basic questions on numpy and pandas
Prepare notes
Know participants
Maintain a good posture
posted on 7 Feb 2024
I applied via Campus Placement and was interviewed in Jan 2024. There were 3 interview rounds.
There was total of 40 questions
First 20: Aptitude based topics like time and work, profit and loss, speed and distance
Second 20: Programming MCQs based on C, C++ and python. Task is to guess the correct output and errors.
There were 4 coding questions based on array, 2 SQL queries and one article.
Coding questions were easy for batch 2 but difficult for batch 1. Star patterns are present in batch 1.
SQL queries were easy.
One article (200-300)words. Topics was Google maps.
Software Engineer
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