LOREAL Graduate Apprentice Trainee Interview Questions and Answers

Technical questions

Q1. Introduction then Technical questions
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Q1. About your final year project in b.tech
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Q2. What was the your major project in b.tech final year
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Q3. What technology you were used
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I have used a variety of technologies in my work.
• I have experience with programming languages such as Java, Python, and C++.

• I have worked with databases like MySQL and MongoDB.

• I have used web development frameworks like React and Angular.

• I have utilized cloud computing platforms like AWS and Azure.

• I have experience with machine learning libraries like TensorFlow and scikit-learn.
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Q4. How can be it beneficial
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Q5. Where it can be used
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GAT can be used in various fields such as education, research, data analysis, and problem-solving.
• Education: GAT can be used in schools and universities to assess students' knowledge and skills.

• Research: GAT can be used in scientific research to analyze data and draw conclusions.

• Data Analysis: GAT can be used in business and industry to analyze large datasets and make informed decisions.

• Problem-solving: GAT can be used...read more
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Q1. What time intelligence functions can be used for ytd and qtd analysis
Ans. 
Time intelligence functions like YTD (Year-to-Date) and QTD (Quarter-to-Date) can be used for YTD and QTD analysis in data analytics.
• YTD analysis can be done using functions like YTD() or TOTALYTD() to calculate values from the beginning of the year up to the selected date.

• QTD analysis can be done using functions like QTD() or TOTALQTD() to calculate values from the beginning of the quarter up to the selected date.

• Thes...read more
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Q2. Difference between import and direct query
Ans. 
Import brings data into Power BI for further analysis, while direct query connects to data source in real-time.
• Import: Data is loaded into Power BI for analysis, improving performance but requiring periodic refreshes.

• Direct Query: Connects to data source in real-time, allowing for up-to-date information but potentially slower performance.

• Import is suitable for smaller datasets, while direct query is better for large da
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Q1. Tell us data science project where you developed a script for forecastings, KNN, Data science models with practical examples.
Ans. 
Developed a script for forecasting using KNN and data science models.
• Developed a script using Python to forecast sales for a retail company using KNN algorithm.

• Built a data science model to predict customer churn for a telecom company using logistic regression.

• Used time series analysis to forecast stock prices for a financial services company.

• Developed a script to predict the likelihood of a customer defaulting on a lo...read more
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Q2. 1. Why you are asking this role is for Data analyst or data scientist? 2. Don't go for the provided JD and do you think you are well aware of Data science concepts and models, algorithms etc.
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Q1. SQL medium difficulty level questions.
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Q1. She asked me about the projects.
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Q1. Still waiting for their response.
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