Free Data Warehousing on AWS: SQL Questions and Answers

Question 1

What exactly does SQL mean?

Accepted Answer

Structured Query Language

Answer

SQL stands for Structured Query Language, which is the standard language for managing and manipulating relational databases. It is used to perform tasks such as retrieving data, updating records, inserting new data, and deleting data. Understanding SQL is fundamental for anyone working with data warehousing and database systems.

Question 2

Which SQL command is employed to retrieve data from a database?

Accepted Answer

Answer

The correct SQL command to retrieve data from a database is `SELECT`. The `SELECT` statement is fundamental for querying databases, allowing users to specify which columns and rows they want to fetch from one or more tables. It is the most frequently used command for data retrieval operations.

Question 3

How does one update data in a database using SQL?

Accepted Answer

UPDATE

Answer

The `UPDATE` SQL command is specifically used to modify existing records in a database table. It allows users to change the values of one or more columns for specific rows that meet a defined condition. This command is essential for maintaining the accuracy and currency of data within a database.

Question 4

How do you delete data from a database using SQL?

Accepted Answer

DELETE

Answer

The `DELETE` SQL command is used to remove existing records from a database table. Users can specify conditions to delete particular rows, or if no condition is given, all rows from the table will be removed. This command is crucial for data management and maintaining relevant information in a database.

Question 5

Which SQL statement is employed when fresh data is to be added to a database?

Accepted Answer

INSERT INTO

Answer

The `INSERT INTO` SQL statement is the standard command used to add new rows or records into a database table. It allows users to specify the table name and the values for each column, thereby populating the database with new data. This command is fundamental for data entry and expanding a dataset.

Data Warehousing on AWS Training Practice Test

Data Warehousing on AWS Training Practice Test

Free Data Warehousing on AWS: SQL Questions and Answers