Xiaomi Data Analyst Interview Questions and Answers

Q1. Sql rank order explain
Ans. 
SQL rank order function explanation
• Rank order function in SQL assigns a rank to each row based on a specified column

• It can be used to determine the top or bottom N records in a dataset

• Example: SELECT column1, column2, RANK() OVER (ORDER BY column3 DESC) AS rank_order FROM table_name
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Q2. Merging two tables
Ans. 
Merging two tables involves combining data from both tables based on a common key.
• Identify a common key between the two tables

• Use SQL JOIN statements to merge the tables

• Choose the appropriate type of join (e.g. inner join, outer join)

• Consider the size of the tables and the performance implications of the merge
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SQL coding and MCQ duration 45 min

Q1. Job responsibilities
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Q2. Power BI, tableau, SQL, python
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Q1. Tell me about yourself
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Q1. About yourself n work profile
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Q1. Explain IOT database
Ans. 
IOT database is a database that stores data generated by Internet of Things (IOT) devices.
• IOT database is designed to handle large volumes of data generated by IOT devices.

• It stores data in a structured format that can be easily queried and analyzed.

• IOT databases often use NoSQL databases like MongoDB or Cassandra.

• Examples of IOT databases include AWS IoT Core, Azure IoT Hub, and Google Cloud IoT Core.
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How to ready for my work

Q1. What type of work do you typically perform in an office setting?
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Q2. How to developed for in team working
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15 statistical and logical questions

2 easy to medium coding problmes. e.g. swapping the array.

Q1. What is regression ? how it works
Ans. 
Regression is a statistical method used to analyze the relationship between variables and predict outcomes.
• Regression models the relationship between a dependent variable and one or more independent variables.

• It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.

• Examples include linear regression, polynomial regression, and logistic regression.
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Q2. Questions on recent projects
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Q1. Basic back ground check
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Q1. Data engineering related
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Q1. Introduce yourself
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Q2. Expectations
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Q1. Offers and benefits
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Basic python questions