HyperVerge Interview Questions, Process, and Tips

Q1. Past Experience
Add your answer
Q2. Case related to past experience
Add your answer

Framework for product conversations with clients and making roadmap basis the discussion

I dont exaclty remember the details but aptitude test had mainly simple interest those kinda questions

Q1. Why do you want to switch to management if you have a ebgineering background
Ans. 
I believe my engineering background has equipped me with the necessary problem-solving and analytical skills to excel in a management role.
• Engineering background provides strong analytical and problem-solving skills

• Desire to lead and mentor a team

• Interest in strategic decision-making and project management

• Ability to understand technical aspects of projects and communicate effectively with engineers
Answered by AI
Add your answer
Q2. Tell me some incident where you brought out the best in people
Ans. 
I organized a team-building workshop that helped improve communication and collaboration among team members.
• Organized a team-building workshop focused on improving communication and collaboration

• Encouraged team members to participate in group activities and discussions

• Provided opportunities for team members to share their strengths and work together towards common goals
Answered by AI
Add your answer
Q3. Two pen and paper questions were asked
Add your answer
Q4. How would ypu plan a event calender
Ans. 
To plan an event calendar, consider the purpose of the events, target audience, available resources, and desired outcomes.
• Identify the purpose of the events (e.g. team building, training, celebrations)

• Consider the target audience and their preferences (e.g. employees, clients, stakeholders)

• Allocate resources such as budget, venue, speakers, and equipment

• Set clear goals and desired outcomes for each event

• Create a timeli...read more
Answered by AI
Add your answer
Q5. She asked whether i had any further questions
Add your answer

Q1. Difference between logistic regression and svm
Ans. 
Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
• Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.

• SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.

• Logistic regression is more interpretable and easier to implement...read more
Answered by AI
Add your answer
Q2. Data augmentation related questions
Add your answer

Simple test - Time Management is crucial. Medium Level questions.
Most of the shortlisting is done through Resume Screening and Reviewing the answers filled in the form & in the Apti round.

Q1. Resume questions, Cross Questioning, and goes deep into what you have mentioned.
Add your answer
Q2. Guess Estimates, Puzzles. GFG is more than enough for Puzzles. Guess estimates are standard questions mostly - easy to medium level.
Add your answer

Q1. Genric HR questions, Behavioural questions. Easy to crack if you have performed well so far.
Add your answer

We 200 of us were in a same hall and were asked 5 aptitude questions. Before that we had a pre-placement talk and they noted the involvement in it.

40 People were shortlisted and we had a GD on a topic in accuracy and precision.

Q1. Asked about one of your projects that you consider the best.
Add your answer
Q2. They went deep into the basics involved y=in the technologies of the project
Add your answer

Basic coding qns and aptitude questions which can be done easily

They gave guesstimate questions where scenarios will be given and you have to give an approximate estimate to it based on various factors

Q1. What is LLM how do you fine tune them
Ans. 
LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.
• LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.

• Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.

• Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...read more
Answered by AI
Add your answer
Q2. What is RAG and its working?
Ans. 
RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.
• RAG is commonly used in project management to quickly communicate the status of tasks or projects.

• Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...read more
Answered by AI
Add your answer