This technical problem deals with writing a SQL query to find the number of distinct values in each column of a table. The input is a table with two columns, and the output is the number of distinct values in each column.
About this solution: The solution above is optimal because it uses the COUNT function with the DISTINCT keyword. This will count the number of unique values in each column.
Write a SQL query to find employees who have been with a company for more than 5 years. The table to query has the following schema: (name, department, start_date). The query should return the (name, department, start_date) for each employee meeting the 5 year criteria.
About this solution: This solution is correct and demonstrates a good understanding of SQL.
The technical problem is how to write a SQL query that returns the top 3 most populous countries. The example output is China, India, United States.
About this solution: The solution is optimal because it uses the ORDER BY and LIMIT clauses to sort the table by population in descending order and then limit the results to the top 3.
Write a SQL query to find the top 10 customers by total spent.
About this solution: The solution is optimal because it uses the ORDER BY and LIMIT clauses to sort the table by total_spent in descending order and then limit the results to the top 10 customers.
To replicate a database across multiple servers, you would need to set up a master server with the database, and then set up replication on the other servers. This would allow the other servers to have copies of the database, which would be updated whenever the master server's database is updated.
About this solution: The candidate's solution is incomplete. It does not address how to keep the databases in sync or how to handle write conflicts. Additionally, the candidate does not mention any performance implications of this solution.
Update customer credit score on address update:
- Given a table of customer data with name, address, credit score, and date of last address update columns,
- write a trigger that will automatically update the customer's credit score whenever their address is updated.
- Output will be the customer table with updated credit scores.
About this solution: The trigger above will update the credit score of the customer whenever their address is updated. This is a good solution that solves the problem. The trigger is optimal because it will only update the credit score of the customer whose address was updated.