PlaySimple Games Interview Questions and Answers for Experienced

Q1. DS Algo, Backend and DB
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Q2. Stack(DS) question and DB based questions
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Q3. Scaling (Horizontal, Vertical) with use cases
Ans. 
Scaling refers to increasing capacity of a system. Horizontal scaling adds more machines, while vertical scaling adds more resources to a machine.
• Horizontal scaling involves adding more machines to a system to increase capacity

• Vertical scaling involves adding more resources to a machine to increase capacity

• Use cases for horizontal scaling include handling increased traffic or adding redundancy

• Use cases for vertical sca...read more
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Q1. Oops concept Js related output questions
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It's easy to crack basic questions are there

Prepare Basic codes to clear the round

Q1. He asked some codes and syntaxes
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Q1. About projects and all but they rejected in hr round
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Q1. Advance level sql questions
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Q1. Sql concepts and scenarios
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Q1. Intermediate and Advanced SQL Questions, for best, try leetcode sql practice.
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Basics of SQL was asked, having good foundation will really help in clearing this round

Q1. Coalesce, SQL Order of Execution
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Q2. Given a table with fields(id, name, salary, managerId) find out the managers who have atleast 5 reportees under him/her.
Ans. 
Use SQL query to count number of reportees for each manager and filter out those with atleast 5 reportees.
• Write a SQL query to count number of reportees for each manager using GROUP BY clause

• Add HAVING clause to filter out managers with atleast 5 reportees

• Example: SELECT managerId, COUNT(id) AS num_reportees FROM table_name GROUP BY managerId HAVING num_reportees >= 5
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Q3. How to manage large datasets in python
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Use libraries like pandas and dask to efficiently manage large datasets in Python.
• Use pandas library for data manipulation and analysis.

• Use dask library for parallel computing and out-of-core processing.

• Optimize memory usage by loading data in chunks or using data types efficiently.

• Consider using cloud services like AWS S3 or Google BigQuery for storing and processing large datasets.
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Q4. Name few of the commonly used python libraries used by DA
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Some commonly used Python libraries for Data Analysts are Pandas, NumPy, Matplotlib, and Scikit-learn.
• Pandas - used for data manipulation and analysis

• NumPy - used for numerical computing and working with arrays

• Matplotlib - used for data visualization

• Scikit-learn - used for machine learning and data mining
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