BVG India Data Entry Operator Interview Questions and Answers for Freshers

Q1. How to clean the raw data
Ans. 
Raw data can be cleaned by removing duplicates, handling missing values, standardizing formats, and correcting errors.
• Remove duplicates by identifying unique identifiers and filtering out redundant entries.

• Handle missing values by imputing with mean, median, or mode values or removing rows with missing data.

• Standardize formats by converting data into a consistent format (e.g. date formats, units of measurement).

• Correct...read more
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Q2. How to give relationship for two tables.
Ans. 
To establish a relationship between two tables, use a common key or field that links the records in both tables.
• Use primary and foreign keys to establish relationships between tables.

• Primary key in one table should match the foreign key in another table.

• Types of relationships include one-to-one, one-to-many, and many-to-many.

• Examples: CustomerID in a Customers table can be linked to CustomerID in Orders table.
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Q1. Job Experience?
Ans. 
I have over five years of experience in management roles, focusing on team leadership and operational efficiency.
• Led a team of 10 in a retail environment, improving sales by 20% over six months.

• Implemented a new inventory management system that reduced stock discrepancies by 30%.

• Conducted training sessions for new hires, enhancing onboarding efficiency and team cohesion.

• Managed budgets and forecasts, ensuring projects
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Q2. Handle audit?
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Q1. Why are interested to work at Sodexo
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Q2. Do you know the job at canteen
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Q1. Tell me about yourself
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Q2. What are the key things to look for in an engagement?
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Q1. What is Specific power consumption
Ans. 
Specific power consumption is the amount of power consumed per unit of output.
• It is a measure of energy efficiency.

• It is calculated by dividing the power consumed by the output produced.

• It is commonly used in industries to optimize energy usage.

• Examples include kWh/ton in cement production and kWh/kg in textile manufacturing.
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