Real questions from top companies in SQL
How would you add columns to a table without impacting queries?
How would you automate Redshift cluster scaling for peak loads?
How would you clean the data by filtering out records with null values in user_id?
How would you create a materialized view for frequently accessed aggregated sales data?
How would you deal with a situation where you had to work with a difficult team member?
How would you deal with data skewness in a join operation?
How would you deal with data skewness in a large dataset?
How would you decide between using a CTE and a temporary table for a complex query?
How would you design a data model for an e-commerce platform?
How would you handle data type changes for an existing column?
How would you handle duplicate or corrupted data in a batch ETL job?
How would you handle null values in a dataset, especially in a single column?
How would you handle nulls in a SQL join? Provide examples using COALESCE.
How would you identify duplicate records based on a composite key in SQL?
How would you optimize a SQL query for better performance when working with large datasets?
How would you optimize a query fetching sales data across multiple countries with billions of rows?
How would you optimize a query with multiple joins and subqueries?
How would you prevent small file problems in S3 when loading data into Redshift?
How would you retrieve the first and last order for each customer from a sales table?
Identify and remove duplicate records from a table, keeping the most recent record based on a timestamp column.
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