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I applied via Referral and was interviewed in Dec 2021. There was 1 interview round.
To make a Java class immutable, use final keyword and initialize all fields in constructor.
Use final keyword for class and all fields
Initialize all fields in constructor
Do not provide setter methods
Make sure to return a new instance in any method that modifies the state
Check if two strings are anagrams of each other
Create a character count array for both strings
Compare the character count arrays
If they are equal, the strings are anagrams
REST endpoints for a ticket booking system
GET /events - get list of available events
GET /events/{id} - get details of a specific event
POST /events/{id}/tickets - book tickets for an event
GET /bookings - get list of all bookings
GET /bookings/{id} - get details of a specific booking
PUT /bookings/{id} - update a booking
DELETE /bookings/{id} - cancel a booking
Pessimistic locking is when a resource is locked for a long time, while optimistic locking is when a resource is locked only when it is being modified.
Pessimistic locking involves locking a resource for a long time to prevent other users from accessing it.
Optimistic locking involves locking a resource only when it is being modified, allowing other users to access it in the meantime.
Pessimistic locking is useful when co...
I was interviewed in Sep 2024.
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
Time and work,speed , logical reasoning
Blue Yonder interview questions for popular designations
I have 3 years of experience developing mobile apps for both iOS and Android platforms.
Developed mobile apps using Swift for iOS and Java/Kotlin for Android
Experience with mobile app design principles and user interface development
Worked on integrating APIs and third-party libraries for enhanced functionality
Get interview-ready with Top Blue Yonder Interview Questions
Random Forest is a machine learning model that uses multiple decision trees to make predictions.
Random Forest is an ensemble learning method that combines multiple decision trees to improve accuracy and reduce overfitting.
Each decision tree in the Random Forest is trained on a random subset of the data and features.
The final prediction is made by averaging the predictions of all the individual trees in the forest.
Rando...
I was interviewed in Aug 2024.
Back propagation is a technique used in neural networks to update the weights of the network by calculating the gradient of the loss function with respect to the weights.
Back propagation involves calculating the error at the output layer and then propagating it back through the network to update the weights using gradient descent.
It uses the chain rule of calculus to calculate the gradient of the loss function with res...
Batch normalization is a technique used in machine learning to improve the training of deep neural networks by normalizing the input of each layer.
Batch normalization normalizes the input of each layer by adjusting and scaling the activations.
It helps in reducing internal covariate shift, which leads to faster convergence during training.
Batch normalization also acts as a regularizer, reducing the need for other regula...
Transformer architecture is a type of deep learning model that uses self-attention mechanism to process sequential data.
Utilizes self-attention mechanism to weigh the importance of different input elements
Consists of encoder and decoder layers for processing input and generating output
Introduced in the paper 'Attention is All You Need' by Vaswani et al. in 2017
Back propagation over time is a method used in recurrent neural networks to update weights by propagating errors backwards through time.
Back propagation through time (BPTT) is an extension of the backpropagation algorithm for recurrent neural networks.
It involves unfolding the network over time and calculating gradients for each time step.
The gradients are then used to update the weights of the network to minimize the ...
Microservices architecture is an architectural style that structures an application as a collection of loosely coupled services.
Each service is self-contained and can be developed, deployed, and scaled independently.
Services communicate with each other over lightweight protocols like HTTP or messaging queues.
Microservices allow for better scalability, flexibility, and resilience compared to monolithic architectures.
Exa...
I am a highly skilled Technical Consultant with a proven track record of successfully implementing complex solutions for clients.
Highlight key technical skills and experience
Mention specific projects or achievements
Emphasize problem-solving abilities and client satisfaction
Listen to their perspectives, encourage open communication, find common ground, and work towards a compromise.
Encourage open communication to understand each employee's perspective
Listen actively and show empathy towards their opinions
Find common ground and areas of agreement to build upon
Work towards a compromise that addresses the concerns of all parties involved
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