Hexagon Capability Center Interview Questions, Process, and Tips

Q1. Asked about Azure DevOps pipelines
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Q1. Asked about installation of Self hosted agents and asked to write PowerShell script
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Home assignment was measured based on metrics u can visualize.

Q1. How to you measure, optimize and monitor ml model pipeline in cloud?
Ans. 
Measuring, optimizing, and monitoring ML model pipeline in cloud involves tracking performance metrics, tuning hyperparameters, and setting up alerts.
• Track performance metrics such as accuracy, precision, recall, and F1 score to evaluate model performance.

• Optimize hyperparameters using techniques like grid search, random search, or Bayesian optimization to improve model accuracy.

• Set up monitoring tools like CloudWatch ...read more
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Q2. What kind of advanced ml modeling technique you used for cloud based image data?
Ans. 
I have used Convolutional Neural Networks (CNN) for cloud based image data.
• Utilized CNN for image classification and object detection tasks

• Implemented transfer learning with pre-trained CNN models like VGG, ResNet, or Inception

• Used data augmentation techniques to improve model performance
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Q1. What is recommneder system?
Ans. 
A recommender system is a type of information filtering system that predicts the preferences or ratings a user would give to items.
• Recommender systems are commonly used in e-commerce websites to suggest products based on user behavior.

• They can be content-based, collaborative filtering, or hybrid systems.

• Examples include Netflix recommending movies based on viewing history, Amazon suggesting products based on purchase h
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Q2. What is bayesian statistics?
Ans. 
Bayesian statistics is a method of statistical inference in which Bayes' theorem is used to update the probability of a hypothesis as more evidence or information becomes available.
• Bayesian statistics involves updating prior beliefs with new evidence to form posterior beliefs.

• It allows for the incorporation of prior knowledge into the analysis.

• Bayesian statistics is particularly useful in situations with limited data o...read more
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Aptitude test , reasoning

Prime number code , Fibonacci

Q1. Technical questions with accordance with job title
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Q2. Related to technical stuffs and questions accordingly
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Q1. Managerial round and work management skills
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Q1. Salary negotiation and perks and benefits discussion
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Only aptitude was conducted for my role.tests depends on roles

Q1. Various quant questions
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Q2. Quantitative questions
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50 questions for basic apti and computer science, mostly questions from arithmetic, reasoning to basic DS, algo etc, try to cover basic reasoning apti.

Q1. Puzzles and basic DS, Algo
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