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Structured Query Language (SQL) is a widely used programming language for managing and manipulating relational databases. In the context of the Microsoft Azure Data Fundamentals exam, there are several common SQL statements and commands that you should be familiar with. These statements allow you to interact with and retrieve data from Azure databases. Let’s explore some of these SQL statements below:
The SELECT statement is used to retrieve data from one or more database tables. It allows you to specify the columns you want to retrieve, the table(s) you want to query, and optional filtering conditions. Here’s an example:
SELECT column1, column2
FROM table_name
WHERE condition;
The INSERT statement is used to insert new rows into a table. It allows you to specify the table name, the column names, and the values to be inserted. Here’s an example:
INSERT INTO table_name (column1, column2)
VALUES (value1, value2);
The UPDATE statement is used to modify existing data in a table. It allows you to update one or more columns based on specified conditions. Here’s an example:
UPDATE table_name
SET column1 = value1, column2 = value2
WHERE condition;
The DELETE statement is used to remove one or more rows from a table. It allows you to specify conditions to determine which rows should be deleted. Here’s an example:
DELETE FROM table_name
WHERE condition;
The CREATE TABLE statement is used to create a new table within a database. It allows you to specify the table name, column names, data types, and optional constraints. Here’s an example:
CREATE TABLE table_name (
column1 datatype,
column2 datatype,
column3 datatype,
...
);
The ALTER TABLE statement is used to modify an existing table structure. It allows you to add, modify, or delete columns in a table. Here’s an example:
ALTER TABLE table_name
ADD column_name datatype;
The DROP TABLE statement is used to remove an existing table from the database. Here’s an example:
DROP TABLE table_name;
The CREATE INDEX statement is used to create an index on one or more columns of a table. Indexes improve the performance of data retrieval operations. Here’s an example:
CREATE INDEX index_name
ON table_name (column1, column2, ...);
The SELECT DISTINCT statement is used to retrieve unique values from a specific column of a table. Here’s an example:
SELECT DISTINCT column_name
FROM table_name;
The GROUP BY statement is used to group rows based on one or more columns and perform aggregate functions on the grouped data. Here’s an example:
SELECT column1, aggregate_function(column2)
FROM table_name
GROUP BY column1;
These are some of the common SQL statements related to the Microsoft Azure Data Fundamentals exam. Understanding and having practical experience with these commands will help you effectively work with Azure databases. Remember to consult the official Microsoft documentation for more detailed information on each statement and its usage in the Azure environment.
a) INSERT
b) UPDATE
c) SELECT
d) DELETE
Correct answer: c) SELECT
a) SELECT
b) UPDATE
c) INSERT
d) DELETE
Correct answer: c) INSERT
a) SELECT
b) UPDATE
c) INSERT
d) DELETE
Correct answer: b) UPDATE
a) SELECT
b) UPDATE
c) INSERT
d) DELETE
Correct answer: d) DELETE
a) CREATE
b) ALTER
c) DROP
d) TRUNCATE
Correct answer: a) CREATE
a) CREATE
b) ALTER
c) DROP
d) TRUNCATE
Correct answer: b) ALTER
a) CREATE
b) ALTER
c) DROP
d) TRUNCATE
Correct answer: c) DROP
a) CREATE
b) ALTER
c) DROP
d) TRUNCATE
Correct answer: d) TRUNCATE
a) WHERE
b) JOIN
c) ORDER BY
d) GROUP BY
Correct answer: a) WHERE
a) WHERE
b) JOIN
c) ORDER BY
d) GROUP BY
Correct answer: b) JOIN
35 Replies to “Identify common structured query language (SQL) statements”
I noticed some statements on the blog that weren’t completely clear.
How can you ensure data integrity in SQL?
Use constraints like PRIMARY KEY, FOREIGN KEY, UNIQUE, and CHECK to enforce database rules and maintain data integrity.
Super helpful content, thanks!
Is there a way to join more than two tables in SQL?
Yes, you can join multiple tables in SQL using repeated JOIN keywords. Just make sure each join condition is correctly specified.
What does the SELECT statement do?
The SELECT statement is used to query the database and retrieve data.
Any tips on optimizing SELECT statements for performance?
Make sure to use indexes properly and avoid SELECT *. Only select the columns you need.
Can anyone provide some tips on using SQL for data manipulation?
Using the INSERT, UPDATE, and DELETE statements can help manage your data effectively. Always ensure backups before performing large-scale updates or deletes.
The blog post saved me a lot of time. Appreciate the effort!
Thank you for the comprehensive guide on SQL statements!
How does the WHERE clause work in SQL?
The WHERE clause is used to filter records that meet certain criteria. It’s often used with SELECT, UPDATE, and DELETE statements.
Excellent summary. It helped me grasp the basics of SQL quickly!
Can someone explain the difference between INNER JOIN and LEFT JOIN?
INNER JOIN returns only the matching rows from both tables, while LEFT JOIN returns all rows from the left table and matching rows from the right table, filling with NULLs if no match is found.
I don’t think this article covered the MERGE statement sufficiently.
Can anyone explain what a subquery is?
A subquery is a query nested inside another query. It can be used in SELECT, INSERT, UPDATE, or DELETE statements to filter data.
What is the purpose of the GROUP BY clause?
GROUP BY is used with aggregate functions (like COUNT, SUM, MAX, MIN) to group result-set by one or more columns.
Appreciate the detailed explanations!
Great overview of the common SQL statements!
Does anyone have experience with stored procedures?
Stored procedures are great for encapsulating complex queries and can improve performance by reducing the number of round trips between an app and the database.
Thanks, this was really helpful for my DP-900 preparation!
Very well written. Thanks a ton!
Can someone explain the usage of the HAVING clause?
HAVING is used to filter records after the GROUP BY clause. It is similar to the WHERE clause but is used for groups created by GROUP BY.
What is the difference between DELETE and TRUNCATE?
DELETE removes individual rows and can use a WHERE clause. TRUNCATE removes all rows from a table faster and with less logging but cannot use a WHERE clause.
Good read. Thanks for this informative post!