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20+ Mu Sigma Interview Questions and Answers for Freshers

Updated 29 Oct 2024
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Q1. What are the methods used to store and analyze data before the existence of tools such as Excel

Ans.

Before Excel, data was stored and analyzed using manual methods.

  • Data was stored in physical files such as paper documents or index cards.

  • Analysis was done manually using tools such as calculators or statistical tables.

  • Data was often organized using charts or graphs.

  • Data entry was done by hand, which was time-consuming and prone to errors.

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Q2. how you would fix the ticket price for a play in an auditorium

Ans.

Ticket price for a play in an auditorium

  • Analyze the production cost and expected revenue

  • Consider the target audience and their willingness to pay

  • Research the ticket prices of similar plays in the area

  • Offer discounts for early bird or group bookings

  • Adjust the price based on demand and availability

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Q3. Types of Joins in SQL

Ans.

Types of joins in SQL include inner join, left join, right join, and full outer join.

  • Inner join: Returns rows when there is a match in both tables

  • Left join: Returns all rows from the left table and the matched rows from the right table

  • Right join: Returns all rows from the right table and the matched rows from the left table

  • Full outer join: Returns rows when there is a match in either table

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Q4. Why is Power BI and Tableau used for?

Ans.

Power BI and Tableau are used for data visualization and business intelligence purposes.

  • They help in creating interactive dashboards and reports.

  • They allow users to analyze and explore data in a visual format.

  • They can connect to various data sources and transform data for analysis.

  • They provide features like data filtering, sorting, and aggregation.

  • They enable users to share insights and collaborate with others.

  • Example: Power BI can be used to create a sales dashboard that sho...read more

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Q5. What is the difference between random forest and decision tree

Ans.

Random forest is an ensemble learning method that uses multiple decision trees to make predictions, while a decision tree is a single tree-like structure that makes decisions based on features.

  • Random forest is a collection of decision trees that work together to make predictions.

  • Decision tree is a single tree-like structure that makes decisions based on features.

  • Random forest reduces overfitting by averaging the predictions of multiple trees.

  • Decision tree can be prone to over...read more

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Q6. No. of coffees sold by CCD in a day

Ans.

The number of coffees sold by CCD in a day varies depending on the location, day of the week, and time of day.

  • The number of coffees sold may be higher on weekdays than weekends

  • The number of coffees sold may be higher in the morning than in the afternoon or evening

  • The number of coffees sold may vary depending on the location of the CCD outlet

  • The number of coffees sold may be affected by seasonal factors such as weather

  • The number of coffees sold may be influenced by promotional...read more

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Q7. No. of crows in Mumbai?

Ans.

It is impossible to accurately determine the number of crows in Mumbai.

  • There is no official census of crows in Mumbai.

  • Crows are highly mobile and can move between different areas of the city.

  • The population of crows can fluctuate based on factors such as food availability and weather conditions.

  • Estimates of the number of crows in Mumbai range from a few thousand to several hundred thousand.

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Q8. No. of swifts sold in Mumbai

Ans.

I don't have the available data to answer this question.

  • Sorry, I don't have access to the sales data for swifts in Mumbai.

  • Without the data, it's impossible to provide an accurate answer.

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Q9. Do you know to write formal emails?

Ans.

Yes, I am proficient in writing formal emails.

  • Use a professional tone and language

  • Include a clear subject line

  • Address the recipient respectfully

  • Proofread for grammar and spelling errors

  • Sign off appropriately with your name and contact information

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Q10. Approach to a problem statement

Ans.

My approach to a problem statement involves understanding the problem, gathering data, analyzing the data, and developing a solution.

  • Understand the problem statement thoroughly

  • Gather relevant data and information

  • Analyze the data to identify patterns and insights

  • Develop a solution based on the analysis

  • Test and refine the solution as needed

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Q11. What is cost function

Ans.

A cost function is a mathematical formula used to measure the cost of a particular decision or set of decisions.

  • Cost function helps in evaluating the performance of a model by measuring how well it is able to predict the outcomes.

  • It is used in optimization problems to find the best solution that minimizes the cost.

  • Examples include mean squared error in linear regression and cross-entropy loss in logistic regression.

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Q12. Explain the recent project

Ans.

Developed a predictive model for customer churn in a telecom company

  • Collected and cleaned customer data including usage patterns and demographics

  • Used machine learning algorithms such as logistic regression and random forest

  • Evaluated model performance using metrics like accuracy and AUC-ROC curve

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Q13. Q. What is joints? Q. What is linear search? Q. What is your hobby?

Ans.

Joints are connections between bones that allow movement and provide support to the body.

  • Joints are found throughout the body, such as the knee, elbow, and shoulder.

  • They are made up of bones, cartilage, ligaments, and synovial fluid.

  • Joints enable various types of movements, including flexion, extension, rotation, and abduction.

  • Different types of joints include hinge joints, ball-and-socket joints, and pivot joints.

  • Joint problems can lead to conditions like arthritis and joint...read more

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Q14. What is joints and what is your hobby?

Ans.

I'm not sure how joints relate to data science, but my hobby is playing guitar.

  • Joints can refer to the connection between two bones in the body or the way two things are connected or joined together.

  • Playing guitar is a hobby that helps me relax and unwind after a long day of working with data.

  • While seemingly unrelated to data science, playing an instrument can actually improve cognitive function and creativity, which can be beneficial in the field.

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Q15. What is mean, median, mode, etc?

Ans.

Mean, median, and mode are measures of central tendency used in statistics.

  • Mean is the average of a set of numbers. It is calculated by adding all the numbers and dividing by the total count.

  • Median is the middle value in a set of numbers. It is calculated by arranging the numbers in order and finding the middle value.

  • Mode is the most frequently occurring value in a set of numbers.

  • These measures are used to describe the typical or central value of a set of data.

  • For example, if...read more

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Q16. Video analysis. Summarize the video in bullet points.

Ans.

Video analysis involves summarizing the content of a video in bullet points.

  • Identify key themes or topics discussed in the video

  • Highlight important events or moments

  • Note any key statistics or data presented

  • Summarize the main conclusions or takeaways

  • Include any notable visuals or graphics shown

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Q17. What do you know about mu Sigma?

Ans.

Mu Sigma is a data analytics and decision sciences company that helps organizations make data-driven decisions.

  • Mu Sigma was founded in 2004 and is headquartered in Chicago, Illinois.

  • They provide services in areas such as marketing analytics, supply chain analytics, and risk analytics.

  • Mu Sigma has worked with Fortune 500 companies across various industries to help them leverage data for better decision-making.

  • The company uses a proprietary platform called muApt for analytics a...read more

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Q18. why mu sigma and diff bwten desicion and data science

Ans.

Mu Sigma is a decision sciences and analytics company that focuses on solving complex business problems using data science.

  • Mu Sigma is a company that specializes in decision sciences and analytics, using data science to solve complex business problems.

  • Decision sciences involve making strategic decisions based on data analysis, while data science focuses on extracting insights from data using various techniques.

  • Mu Sigma combines decision sciences and data science to provide ac...read more

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Q19. explain the 4 pillars of oops concepts in java with examples

Ans.

The 4 pillars of OOPs concepts in Java are Abstraction, Encapsulation, Inheritance, and Polymorphism.

  • Abstraction: Hiding implementation details and showing only necessary information. Example: Abstract class

  • Encapsulation: Wrapping data and code into a single unit. Example: Private variables and methods

  • Inheritance: Acquiring properties and behavior of a parent class. Example: Child class inheriting from a parent class

  • Polymorphism: Ability of an object to take many forms. Examp...read more

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Q20. explain the difference between equals and == difference in java

Ans.

Equals method compares the content of objects while == compares the reference of objects in Java.

  • Equals method is used to compare the content of two objects in Java.

  • == operator is used to compare the reference of two objects in Java.

  • Equals method is overridden in most of the classes to provide meaningful comparison.

  • Example: String s1 = new String("Hello"); String s2 = new String("Hello"); s1.equals(s2) will return true while s1 == s2 will return false.

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Q21. What is Mitre attack framework and explain its tactics?

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Q22. python code for data frames

Ans.

Python code for data frames in pandas library

  • Import pandas library

  • Create a data frame using pd.DataFrame()

  • Access and manipulate data using various methods like loc, iloc, and groupby

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Q23. Sql order of execution

Ans.

SQL order of execution determines the sequence in which different clauses are processed in a query.

  • SQL order of execution: FROM -> WHERE -> GROUP BY -> HAVING -> SELECT -> ORDER BY.

  • Joins are processed before WHERE clause.

  • Aggregate functions are processed after WHERE clause but before SELECT clause.

  • Subqueries are processed from innermost to outermost.

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