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Database Structures and Management with MySQL Coursera Answer

In the sector of cutting-edge internet improvement and statistics control, information database structures and effectively managing them are paramount. MySQL, an open-source relational database control system, has risen to become one of the most famous choices for developers worldwide. In this comprehensive manual, we can delve into the elaborate global database Structures systems and their control with MySQL, equipping you with the understanding to outshine the opposition.

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Intro to MySQL

  1. SELECT * FROM Customers WHERE ___________________________;
  • WHERE NOT(Country = 'USA' OR Country = 'UK');
  • WHERE Country NOT 'USA' OR Country NOT 'UK';
  1. SELECT quantity from Products WHERE quantity BETWEEN 2000 AND 8000;
SELECT quantity from Products WHERE quantity BETWEEN 2000 AND 8000;
  • 5000
  • 2000, 5000, 8000
  • 2000, 5000, 8000, 8000
  1. SELECT Author_name
  2. FROM Author
  3. WHERE Author_name LIKE '%an';
  • Evan Hayek, S.B. Swaminathan, Thomas Morgan
  • S.B. Swaminathan, Thomas Morgan
fd A JOIN is performed on the two tables. The output of this JOIN produces the following table of data:
What type of JOIN has been performed here?
  1. SELECT COUNT(*) FROM Orders GROUP BY customerID;
  • True
  • False
  1. SELECT Emp_Name, SUM(Working_Hours) FROM Timesheet GROUP BY Emp_Name _________ SUM(Working_Hours) > 12;

Updating databases and working with views

  1. ______________ INTO Staff(staffID, FullName, Salary) VALUES (10, “Mark Carlson”, 30000);
  • Run SQL
  • Add, delete, and modify columns in an existing table.
  • Change columns and tables names.
  • Add and drop various constraints on an existing table.
  1. SELECT name FROM Products WHERE price = (SELECT MAX (price) FROM Products);
  • Outer query
  • Inner query
  1. CREATE ___________ ProductsVirtualTable;
  • virtual
  • Simplify access to the data in the database
  • Support database security
  • Manipulate data in the base table

functions and MySQL-stored procedures

  • CALL procedure_name();
  • CALL procedure_name;
  • SELECT procedure_name();
  • SELECT procedure_name;

Course final graded quiz

  1. SELECT * FROM Bookings WHERE BookingDate BETWEEN ‘2021-10-10’  AND ‘2021-10-20’;
  2. SELECT * FROM Orders WHERE BookingDate >= ‘2021-10-10’ AND BookingDate <= ‘2021-10-20’;
  3. SELECT * FROM Orders WHERE BookingDate > ‘2021-10-10’ AND BookingDate < ‘2021-10-20’;
  1. SELECT PlayerID FROM Players WHERE PlayerName LIKE 'K%';
data base
  • PL1 and PL4
  • PL1 and PL3
  • PL2 and PL4
  1. SELECT ID FROM Games WHERE score = (SELECT MAX (score) FROM Games);
  • Outer query
  • Inner query
  1. CREATE ___________ GetPlayersNames()  SELECT names FROM Players;
  • SELECT Department, SUM (orderTotal) FROM orders WHERE orderTotal > 1500 GROUP BY Department;
  • SELECT Department, SUM (orderTotal) FROM orders GROUP BY Department HAVING SUM(orderTotal) > 1500;

Understanding Database Structures

What is a database structure?

A database structure, in its most effective form, is the blueprint or basis upon which your information is organized. It defines how statistics are stored, accessed, and manipulated inside a database. In the context of MySQL, there are a few vital additives that make up the database structure:

Tables: Tables are the building blocks of MySQL database Structures. They act as bins for one-of-a-kind sorts of records and are organized into rows and columns.

Columns: Columns, additionally known as fields, define the attributes or homes of the statistics stored within a desk. Each column has a particular statistics type, which includes text, numbers, or dates.

Rows: Rows, also referred to as records, are person entries inside a table. Each row represents a completely unique information entity and incorporates values similar to the described columns.

Keys: Keys are used to establish relationships among tables and ensure statistical integrity. The primary key uniquely identifies each row, even as foreign keys link tables together.

Creating Effective Database Structures

Designing a Robust Database Structure

The fulfillment of any database control gadget, inclusive of MySQL, largely depends on a well-designed database Structure shape. To create a powerful structure, consider the subsequent satisfactory practices:

Normalization: Normalizing your database structures eliminates statistical redundancy and ensures that each piece of information is saved in the most effective region. This not only saves storage space but also prevents inconsistencies and mistakes.

Use of Indexes: Indexes enhance record retrieval pace. Create indexes on columns that are regularly utilized in search and filtering operations. Be cautious not to overindex, as it can affect write operations.

Data Types: Choose appropriate facts sorts to your columns to shop garage space and make sure records accuracy. For instance, use integers for complete numbers and date statistics types for date-associated information.

Relationships: Define relationships among tables via primary and foreign keys. This enforces records integrity and lets in for efficient querying throughout related tables.

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Managing MySQL Databases

Efficient Database Management with MySQL

Once you’ve established a properly structured database, the following important step is to effectively control it. Here are a few key factors to maintain in thoughts:

Backups: Regularly lower back up your MySQL database Structures to save you data loss in case of hardware failures or accidental deletions. Utilize computerized backup answers and store backups in stable places.

Security: Implement sturdy get admission to manage measures. Set up consumer debts with suitable permissions, and regularly evaluate and replace them to minimize safety dangers.

Performance Optimization: Monitor the performance of your database and pick out bottlenecks. Use MySQL’s integrated equipment to optimize queries, indexes, and server configurations.

Scalability: Plan for future boom by ensuring that your database structure can scale seamlessly. Consider options like sharding and replication to deal with increasing data hundreds.

Regular Maintenance: Keep your database in pinnacle form with the aid of appearing routine maintenance tasks, consisting of defragmenting tables, optimizing queries, and monitoring disk space.



In the area of database structures and control with MySQL, understanding is energy. By know-how the fundamental elements of a database structure and enforcing satisfactory practices for its layout and management, you will be well-ready to excel in the world of facts management and net development. MySQL’s versatility and strong characteristic set make it an amazing preference for building and retaining high-performance databases. Stay ahead of the curve with the aid of staying knowledgeable and continuously enhancing your database management skills.

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