TOP 10
TOP 10
SQL
SQL
INTERVIEW
INTERVIEW
QUESTIONS
QUESTIONS
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Guidelines and tips
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community
Ask the community for help and clear up your study doubts
University Rankings
Discover the best universities in your country according to Docsity users
Free resources
Our save-the-student-ebooks!
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
Top 10 SQL Interview Questions and Answers for MySQL, Cheat Sheet of Compilers
A comprehensive list of top 10 sql interview questions and answers, focusing on mysql. Topics covered include deleting duplicate rows, building composite indexes, clustered and non-clustered indexes, and differences between delete, truncate, and drop commands. This resource is ideal for university students preparing for database-related interviews or for self-study.
Typology: Cheat Sheet
2022/2023
1 / 11
This page cannot be seen from the preview
Don't miss anything!
Related documents
Partial preview of the text
Download Top 10 SQL Interview Questions and Answers for MySQL and more Cheat Sheet Compilers in PDF only on Docsity!
TOP 10TOP 10
SQL SQL
INTERVIEW INTERVIEW
QUESTIONS QUESTIONS
MySQL Delete Duplicate Rows but keep one
Delete the duplicate rows but keep latest: using GROUP BY and MAX
Delete the duplicate rows but keep latest: using JOINS
Delete the duplicate row but keep oldest: using JOINS
Delete the duplicate row but keep oldest: using ROW_NUMBER()
Clustered and Non Clustered Index
Differentiate between the two with an example?
When to Use a Clustered Index? Show with an example.
When to Use a Non-clustered Index? Show with an example.
How many clustered indexes & non clustered indexes are allowed per table?
Should Primary Keys be Clustered or Non- clustered Index?
Which is Faster: Clustered or Non-clustered Index?
What is the difference between delete, truncate & drop?
Which of these is DDL & DML command?
Can we use the "where" clause with each one of them?
Which of the above is executed by taking table lock?
In which of the three one can "not" retrieve data even after the rollback is performed?
Which of the above is executed by taking row-level lock?
What is the primary use case of each one of the above mentioned?
Rank Scores
Trips & Users
Duplicate Emails
Customer who never orders