CUET-UG SERIES Computer-science
Sql Queries
2 previous year questions.
Volume: 2 Ques
Yield: Medium
High-Yield Trend
2
2023 Chapter Questions 2 MCQs
01
PYQ 2023
medium
computer-science ID: cuet-ug-
Which clause amongst the following can be used along with aggregate functions?
1
Select
2
Group by
3
Where
4
Both Select and Group by
02
PYQ 2023
easy
computer-science ID: cuet-ug-
EMPLOYEE Table
What will be the output of the SQL query based on above EM PLOYEE table?
| Emp No | Ename | Salary | Bonus | DeptId |
|---|---|---|---|---|
| 101 | Aaliya | 10000 | 234 | D02 |
| 102 | Kritika | 60000 | 123 | D01 |
| 103 | Shabbir | 45000 | 566 | D01 |
| 104 | Gurpreet | 19000 | 565 | D04 |
| 105 | Joseph | 34000 | 875 | D03 |
| 106 | Sanya | 48000 | 695 | D02 |
| 107 | Vergeese | 15000 | NULL | D01 |
| 108 | Nachaobi | 29000 | NULL | D05 |
| 109 | Daribha | 42000 | NULL | D04 |
| 110 | Tanya | 50000 | 467 | D05 |
What will be the output of the SQL query based on above EM PLOYEE table?
About Sql Queries - CUET-UG
Sql Queries is a vital chapter for CUET-UG aspirants. Mastering the concepts covered in this chapter is essential for securing a top rank.
By rigorously practicing the previous year questions associated with this chapter, you can identify high-yield topics, understand the examiner's perspective, and boost your confidence during the actual exam.
Frequently Asked Questions
Why focus on Sql Queries PYQs?
Analyzing PYQs for this specific chapter reveals the most frequently tested concepts and the typical complexity of questions, allowing you to tailor your study plan efficiently.
How to best use this analysis?
Review the topic breakdown to see which sub-topics within Sql Queries carry the most weight. Then, tackle the questions iteratively to solidify your understanding.