Sql
28 previous year questions.
High-Yield Trend
Chapter Questions 28 MCQs
| emp1 | |
| Id | Name |
| 1 | Amit |
| 2 | Punita |
| emp2 | |
| Id | Name |
| 1 | Punita |
| 2 | Anand |
SELECT name from emp1 minus SELECT name from emp2;
SELECT MID('CUET2024',2,5)?
(A) Create Table Student
(B) Use Database DB
(C) Select * from Student
(D) Insert into Student
In which order Amit needs to run the above commands?
(A) CURDATE()
(B) CURRENT DATE()
(C) CURRENT DATE
(D) TODAY()
(A) pandas.read__sql__query()
(B) pandas.read__sql__table()
(C) pandas.read__sql__query__table()
(D) pandas.read__sql()
Give the output of the query: SELECT MONTH("2010-03-05");
| List-I | List-II |
|---|---|
| (A) group by | (III) having |
| (B) mid() | (IV) text function |
| (C) count() | (II) aggregate function |
| (D) mod() | (I) math function |
(B) INSTR()
(C) SUBSTR()
(D) LENGTH()
| List-I (Aggregate function) | List-II (Description) |
|---|---|
(A) count(marks) | (III) Count all non null values of marks column |
(B) count() | (I) Count all rows |
(C) avg(marks) | (II) Finding average of non null values of marks |
(D) sum(marks) | (IV) Finding sum of all marks |
Note: We want to make both Rno and Attdate columns as primary key.
About Sql - CUET-UG
Sql 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.
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Review the topic breakdown to see which sub-topics within Sql carry the most weight. Then, tackle the questions iteratively to solidify your understanding.