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I applied via campus placement at Lovely Professional University (LPU) and was interviewed in Jan 2023. There were 3 interview rounds.
Project implementation using Docker involves creating containers to package and run applications with their dependencies.
Define the project requirements and identify the components that need to be containerized
Write a Dockerfile to specify the environment and dependencies for each component
Build Docker images using the Dockerfile
Run containers based on the built images and configure networking and storage as needed
Orch...
AWS is used in code deployment for scalability, automation, and reliability.
Automated deployment pipelines using AWS CodePipeline
Scalable infrastructure with AWS Elastic Beanstalk
Reliable deployment with AWS CodeDeploy
Blue-green deployments with AWS CodeDeploy
Continuous integration with AWS CodeBuild
Implement mean using single linked list in a WAP.
Create a linked list to store the elements.
Traverse the linked list to calculate the sum of all elements.
Divide the sum by the number of elements to get the mean.
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posted on 28 Feb 2025
I was interviewed in Sep 2024.
posted on 25 Jan 2025
I was interviewed in Dec 2024.
A standardized assessment that measures a person's skills, cognitive abilities, and potential to perform in a specific role.
I was interviewed in Jan 2025.
Numerical reasoning : Tests mathematical skills,such as number sequences,percentages,and ratios.
Gd Topics:
1.Current affairs
2.Business and Economy
3.Social and Cultural
posted on 28 Feb 2025
I went through the college placement process. The first round consisted of a combination of coding and aptitude tests.
Discussion on General Topics
General Aptitude test
I was interviewed in Aug 2024.
I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.
Basic self evaluation test.
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
Use resampling techniques like oversampling or undersampling to balance the classes.
Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.
Adjust class weights in the model to give more importance to minority class.
Use evaluation metrics like F1 score, precision, r...
posted on 7 Feb 2025
I was interviewed in Jan 2025.
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