Udaan Team Manager Interview Questions and Answers

CNN models are deep neural networks used for image classification and object recognition.

• CNN models use convolutional layers to extract features from images

• Pooling layers are used to reduce the spatial dimensions of the feature maps

• Fully connected layers are used for classification

• Examples of CNN models include VGG, ResNet, and Inception

Training a CNN model involves selecting appropriate architecture, preparing data, setting hyperparameters, and optimizing loss function.

• Select appropriate CNN architecture based on the problem at hand

• Prepare data by preprocessing, augmenting, and splitting into training, validation, and test sets

• Set hyperparameters such as learning rate, batch size, and number of epochs

• Optimize loss function using backpropagation and g...read more

Design patterns in Micro services help in solving common architectural challenges.

• Service Registry pattern

• Circuit Breaker pattern

• Gateway pattern

• Saga pattern

• API Gateway pattern

Singleton design pattern ensures a class has only one instance and provides a global point of access to it.

• Create a private static instance of the class

• Provide a public static method to access the instance

• Ensure the constructor is private to prevent instantiation of multiple objects

Create a RESTful web service for user login functionality

• Use POST method to send user credentials to the server

• Validate the credentials against a database of users

• Return a success message or error message based on the validation result