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.

Use “Ctrl+F” to find any questions answered. For mobile users, you just need to click on three dots in your browser, and you will get a “Find” option there. Use these options to get any random question answered.

Intro to MySQL

1. True or False: AND, OR, NOT, IN, BETWEEN, and LIKE operators are all used to combine multiple filter conditions in the WHERE clause.

• True
• False

2. What should be the correct WHERE clause condition to filter out customers who are not from any of these countries – USA, UK.

1. SELECT * FROM Customers WHERE ___________________________;

• WHERE NOT(Country = 'USA' OR Country = 'UK');
• WHERE Country NOT 'USA' OR Country NOT 'UK';

3. If this query is written based on the Products table below, what would be the result?

1. SELECT quantity from Products WHERE quantity BETWEEN 2000 AND 8000;

• 5000
• 2000, 5000, 8000
• 2000, 5000, 8000, 8000

4. What is the result of the following query when enacted on the Author table?

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

5. True or False: There is no SELF JOIN clause in MySQL.

• True
• False

6. A database contains two tables. An orders table (which is the left table), and the suppliers table (which is the right table).

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?

• INNER JOIN
• LEFT JOIN
• RIGHT JOIN

7. What JOIN keywords can be used to perform a SELF JOIN? Select all that apply.

• INNER JOIN
• LEFT JOIN
• RIGHT JOIN

8. How many tables do you need to create a SELF JOIN?

• One table
• Two tables

9. True or False: This SQL statement finds out the number of orders made by each customer.

1. SELECT COUNT(*) FROM Orders GROUP BY customerID;

• True
• False

10. Select the missing SQL keyword to find the employees who have worked for more than 12 hours in total.

1. SELECT Emp_Name, SUM(Working_Hours) FROM Timesheet GROUP BY Emp_Name _________ SUM(Working_Hours) > 12;

• GROUP
• HAVING

Updating databases and working with views

functions and MySQL-stored procedures

Course final graded quiz

1. Select the correct function name to replace the ‘first string’ value of ‘column A’ by the ‘second string’ value.

1. ____________ (columnA, firstStringValue, secondStringValue)

• REPLACE
• CHANGE

2. True or False: Aliases are used to provide temporary names for columns and tables.

• True
• False

3. Which of the following SQL operations is used to combine sets of results from two or more SELECT statements, where every SELECT statement must have the same number of columns and all columns must have similar data types?

• UNION
• JOIN

4. True or False: A MySQL stored procedure must include at least one parameter.

• True
• False

5. True or False: A Virtual table can be used to manipulate and filter data from the base table in the database.

• True
• False

6. The manager of ‘Little Lemon’ restaurant needs to view all bookings from 2021-10-10 to 2021-10-20. Which of the following SQL statements can be used to complete this task? Select all that apply.

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’;

7. True or False: You must use the SELF JOIN clause to perform a SELF JOIN.

• True
• False

8. Which Player IDs are returned when you execute the following SQL query on the “Players” table?

1. SELECT PlayerID FROM Players WHERE PlayerName LIKE 'K%';

• PL1 and PL4
• PL1 and PL3
• PL2 and PL4

9. Which of the following functions are commonly used in MySQL to add IF-THEN-ELSE logic to SQL queries? Select all that apply.

• IFNULL
• NULLIF
• IF

10.The following query includes a subquery that returns the ID of the player with the highest score in the Games table.

1. SELECT ID FROM Games WHERE score = (SELECT MAX (score) FROM Games);

• Outer query
• Inner query

11. Which of the following SQL keywords is used to create the GetPlayersNames stored procedure?

1. CREATE ___________ GetPlayersNames()  SELECT names FROM Players;

• FUNCTION
• PROCEDURE

12. True or False: The MOD() function returns the remainder of a number divided by another number.

• True
• False

13. Which type of join returns only matching records from the left table and the right table?

• RIGHT JOIN
• LEFT JOIN
• INNER JOIN

14. Write the missing function name that tests whether an expression is NULL.

1. SELECT ________(NULL);

Answer: ISNULL

15. You need to filter the data in the following “Orders” table to retrieve results with an order total value greater than $1500. Which SQL statement can you use to complete this task?

• 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.

If You want to know about "Database Structures and Management with MySQL", then you can visit my original Course. The Link has been provided below.

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.

ADVANCED MYSQL TOPICS COURSERA QUIZ ANSWER

Conclusion

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.