Ernst & Young Consultant II Interview Questions and Answers

Q1. Explain Machine learning lifecycle and what are the deployment options?
Ans. 
Machine learning lifecycle involves data collection, model training, evaluation, and deployment. Deployment options include cloud, on-premise, and edge computing.
• Machine learning lifecycle stages: data collection, data preprocessing, model training, model evaluation, model deployment

• Deployment options: cloud (e.g. AWS, Azure), on-premise servers, edge computing devices (e.g. IoT devices)

• Deployment considerations: scala...read more
Answered by AI
Add your answer
Q2. Questions on NLP covering text preprocessing, word embeddings, sequence based models, RAG workflow.
Add your answer

Q1. What are the frameworks we can use to train machine learning models?
Ans. 
Frameworks for training machine learning models
• TensorFlow

• PyTorch

• Scikit-learn

• Keras

• MXNet
Answered by AI
Add your answer
Q2. What is your current and expected salary?
Ans. 
I am currently earning $60,000 per year and I am looking for a salary in the range of $70,000 to $80,000 for this position.
• Current salary: $60,000 per year

• Expected salary range: $70,000 - $80,000 per year
Answered by AI
Add your answer

Basic aptitude , english and reasoning questions.

Q1. Introduction and everything in resume
Add your answer
Q2. Deep academic Project discussion
Add your answer

Q1. Explained about salary structure
Add your answer
Q2. Where do see yourself in upcoming years
Ans. 
I see myself advancing to a Senior Consultant role within the company, taking on more responsibilities and leading projects.
• Continuing to develop my skills and expertise in the industry

• Building strong relationships with clients and colleagues

• Taking on leadership roles in projects and teams

• Contributing to the growth and success of the company

• Possibly pursuing further education or certifications to enhance my knowledge
Answered by AI
Add your answer

Q1. Info about yourself
Add your answer
Q2. Power bi question
Add your answer

Q1. What should be the age for interview?
Add your answer
Q2. How to earn money
Ans. 
Earn money by working, investing, starting a business, or providing services.
• Work a job or freelance to earn a salary or hourly wage

• Invest in stocks, real estate, or other assets to generate passive income

• Start a business and sell products or services to make a profit

• Provide services such as tutoring, consulting, or freelancing for a fee
Answered by AI
Add your answer
Q3. What work needs to be done
Add your answer

Q1. Past experience and relevance
Add your answer

Medium leetcode and basic SQL queries

Questions related to previous Project work, ML system design, model performance metrics

Q1. Focus on business outcomes and metrics, problem identification and understanding a possible scenario for choosing the right approach to solve the problem using algorithm/ general rules
Add your answer

Q1. Varous puzzles asked
Add your answer
Q2. Guesstimates and case studies
Add your answer