Mu Sigma Data Intern Interview Questions and Answers

Q1. Given a non-decreasing array, how can I determine the indices of an element X within it? If the element is not present, the output should be [-1, -1]. For example, for the array [1,2,3,3,5,5,7,8] and X=5, ...read more
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Q2. From the employee table, how can I return the employee_name, department, age, and salary of the employee who is older than 35 and has the highest salary within each department?
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Q1. Explain any ML model.
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Q2. Create Dataframe from two lists.
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Logical reasoning, deduction reasoning

Q1. Basic DSA leetcode easy and medium , arrays and hashmaps and LRU cache
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Q2. SQL queries and DBMS questions
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Q1. Explain the RAG pipeline?
Ans. 
RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.
• RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria

• Red category typically represents data that needs immediate attention or action

• Amber category represents data that requires monitoring or further investigation

• Green category represents data that...read more
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Q2. Explain Confusion metrics
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Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.
• Confusion matrix is a table that describes the performance of a classification model.

• It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.

• These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...read more
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DSA and ML, AI, Coding question

Q1. Case study which was easy
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Q1. In depth questions on ML
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1 hr exam it is easy to crack

Aptitude test was divided into 3 parts and was not a typical quant, logical question it was more of an application based questions

Q1. What do you understand about the company?
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Q1. Mostly behavioural and situation based questions.
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