A library catalog system must be designed to store and maintain data on books in a library. The system must be able to track titles, authors, ISBNs, publishers, subjects, and publication dates.
About this solution: The solution provided is a good start, but it is missing a few key details. For example, it does not specify what data type each field should be, which is important for database design. Additionally, it does not provide any example queries that could be used to retrieve data from the database, which would be helpful in understanding how the database could be used in practice. Overall, the solution is a good start, but it needs more detail to be truly complete.
The library database should track information on books, patrons, and checkouts. For books, this includes the title, author, and ISBN. For patrons, this includes the name, address, and phone number. For checkouts, this includes the Patron ID, Book ID, Checkout date, and Due date.
About this solution: The solution above is a good start, but it is missing a few key details. First, it does not specify what data should be stored in each table. For example, the books table should store information such as the title, author, and ISBN of each book. Second, the solution does not specify how the data in the tables should be related to each other. For example, the checkouts table should store the patron ID and book ID of each checkout.
This technical problem deals with designing a social network database schema that includes posts, comments, and likes. The input is a set of CREATE TABLE statements for the three tables, and the output is sample data for those tables.
About this solution: The solution is optimal because it uses foreign keys to ensure data integrity.
This technical problem involves designing a database to store information about a library's patrons, books, and checkout transactions. The database should be able to track patron information (name, ID, address, phone number, date of birth), book information (title, author, ISBN), and checkout information (checkout date, return date, overdue status).
About this solution: The candidate's solution is complete and solves the problem. The candidate demonstrates a good understanding of database design principles.
Write a SQL query to find the top 5 most expensive items in the "Electronics" category.
About this solution: The solution is optimal because it uses the ORDER BY clause to sort the results in descending order by price, and the LIMIT clause to limit the results to the top 5 most expensive items.
The problem asks for a design of a database to store employee information. The input provides an example of the data that would be stored in the database, and the output shows an example of how the data might be organized in a table.
About this solution: The solution is complete and solves the problem. The approach is simple and easy to understand.
The problem asks for a design of a database to store employee information. The input provides an example of the data that would be stored in the database, and the output shows an example of how the data might be organized in a table.
About this solution: This solution is a good start, but it is missing some key information. For example, it does not specify the data types for each column, which is important for database design. Additionally, it does not provide any information on how the table would be used or what kind of data would be stored in it, which would be helpful in determining whether this is the best design for the given purpose.