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I applied via Company Website and was interviewed before Nov 2023. There were 3 interview rounds.
Home assignment was measured based on metrics u can visualize.
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 ...
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
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
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...
I applied via Naukri.com and was interviewed in Sep 2024. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Mar 2024. There were 3 interview rounds.
Ratios and Proportions, Speed Distance and Time, Algebra, Probability, Clocks, Permutations,Combinatios,Verbal Ability
Hexagon Capability Center interview questions for popular designations
Ratios, code snippets , permutations
Get interview-ready with Top Hexagon Capability Center Interview Questions
I applied via Naukri.com and was interviewed in Mar 2024. There was 1 interview round.
A Java program using arrays of strings.
Declare an array of strings: String[] arrayName = new String[size];
Initialize array elements: arrayName[index] = "value";
Access array elements using index: String element = arrayName[index];
SQL query to retrieve all employees from a specific department
Use SELECT statement to retrieve data
Specify the columns to be selected
Use WHERE clause to filter by department
High level architectural designs involve creating a blueprint for the overall structure of a software system.
Identify key components and their interactions
Define the overall structure and relationships between components
Consider scalability, performance, security, and maintainability
Choose appropriate technologies and frameworks
Create diagrams like UML or flowcharts to visualize the architecture
I applied via Company Website
Properties of material refer to characteristics such as density, hardness, conductivity, and flexibility.
Density: mass per unit volume (e.g. lead is denser than aluminum)
Hardness: resistance to scratching or indentation (e.g. diamond is harder than graphite)
Conductivity: ability to conduct heat or electricity (e.g. copper is a good conductor)
Flexibility: ability to bend without breaking (e.g. rubber is flexible)
I applied via Campus Placement and was interviewed in Jul 2023. There were 5 interview rounds.
Aptitude test was easy. Consist of some technical questions also.
2 question were there and difficulty was easy to medium
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The duration of Hexagon Capability Center interview process can vary, but typically it takes about less than 2 weeks to complete.
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Hyderabad / Secunderabad
8-10 Yrs
₹ 12.7-15.23415 LPA
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