Hexagon Capability Center Interview Questions, Process, and Tips

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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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Q1. About automation and programming knowledge.
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Q1. Manual and functional testing questions.
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Q1. Manager/director round focused on QA process.
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Ratios and Proportions, Speed Distance and Time, Algebra, Probability, Clocks, Permutations,Combinatios,Verbal Ability

Q1. Oops related questions in brief with code
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Q2. SQL join related queries with 3 tables
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Q3. About Projects and related technologies
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Q1. About my previous Interview Experiences
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Q2. About organization and their products
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Q1. Piping reports prep
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Q2. Inch dia calculation
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Q3. Puzzles and logics
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Q4. Sand timers and engineering
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