EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials SQL Tutorial Advance SQL Interview Questions And Answers
Secondary Sidebar
SQL Tutorial
  • Interview Questions
    • SQL Interview Questions
    • Advance SQL Interview Questions
    • SQL Joins Interview Questions
    • SQL Server Interview Questions
    • SQL Current Month
  • Basic
    • What is SQL
    • Careers in SQL
    • Careers in SQL Server
    • IS SQL Microsoft?
    • SQL Management Tools
    • What is SQL Developer
    • Uses of SQL
    • How to Install SQL Server
    • What is SQL Server
    • SQL Quick References
    • SQL Like Wildcard
    • SQL Like with Multiple Values
    • SQL Examples
    • SQL Server Versions
    • SQL DROP DB
    • SQL Case Insensitive
    • SQL Expressions
    • Database in SQL
    • SQL Data Types
    • SQL Keywords
    • Composite Key in SQL
    • SQL WAITFOR
    • SQL Constraints
    • Transactions in SQL
    • First Normal Form
    • SQL Server Data Types
    • SQL Administration
    • SQL Variables
    • SQL Enum
    • SQL GROUP BY WHERE
    • SQL ROW
    • SQL EXECUTE
    • SQL EXCLUDE
    • SQL Performance Tuning
    • SQL UUID
    • Begin SQL
    • SQL Update Join
    • Cheat sheet SQL
  • Operators
    • SQL Operators
    • SQL Arithmetic Operators
    • SQL Logical Operators
    • SQL String Operators
    • Ternary Operator in SQL
  • Commands
    • SQL Commands
    • sqlplus set commands
    • SQL Alter Command
    • SQL Commands Update
    • SQL DML Commands
    • SQL DDL Commands
    • FETCH in SQL
  • Clause
    • SQL Clauses
    • SQL IN Operator
    • SQL SELECT DISTINCT Multiple Columns
    • SQL Null Values
    • SQL LIKE
    • SQL LIKE Query
    • SQL LIKE Operator
    • SQL LIKE Clause
    • SQL NOT Operator
    • SQL Minus
    • SQL WHERE Clause
    • SQL with Clause
    • SQL HAVING Clause
    • SQL HAVING Clause
    • SQL GROUP BY DAY
    • ORDER BY Clause in SQL
    • SQL ORDER BY CASE
    • SQL ORDER BY DESC
    • SQL ORDER BY DATE
    • SQL ORDER BY Alphabetical
    • SQL ORDER BY Ascending
    • SQL Order by Count
    • SQL GROUP BY Month
    • SQL GROUP BY Multiple Columns
    • SQL GROUPING SETS
  • Queries
    • SQL Insert Query
    • SQL SELECT Query
    • SQL SELECT RANDOM
    • SQL Except Select
    • SQL Subquery
    • SQL SELECT DISTINCT
    • SQL WITH AS Statement
  • Keys
    • SQL Keys
    • SQL Foreign Key
    • Primary Key in SQL
    • Foreign Key in SQL
    • Unique Key in SQL
    • SQL UNIQUE Constraint
    • SQL Primary Key
    • Alternate Key in SQL
    • SQL Super Key
  • Functions
    • SQL Date Function
    • SQL Server Functions
    • SQL String Functions
    • SQL Compare String
    • Timestamp to Date in SQL
    • SQL REGEX
    • SQL Window Functions
    • SQL Syntax
    • SQL CONCAT
    • SQL ALTER TABLE
    • SQL MOD()
    • SQL Timestamp
    • SQL Min and Max
    • SQL TO_DATE()
    • SQL DATEADD()
    • SQL DATEDIFF()
    • SQL HOUR()
    • SQLite? functions
    • ANY in SQL
    • LIKE Query in SQL
    • SQL NOT NULL
    • SQL NOT IN
    • SQL MAX()
    • SQL MIN()
    • SQL SUM()
    • SQL COUNT
    • SQL identity
    • SQL DELETE Trigger
    • SQL Declare Variable
    • SQL Text Search
    • SQL COUNT DISTINCT
    • SQL TEXT
    • SQL Limit Order By
    • BETWEEN in SQL
    • LTRIM() in SQL
    • TOP in SQL
    • SQL Select Top
    • Merge SQL
    • SQL TRUNCATE()
    • SQL UNION
    • SQL ALL
    • SQL INTERSECT
    • SQL Alias
    • SQL Server Substring
    • CUBE in SQL
    • SQL RANK()
    • SQL CTE
    • SQL LAG()
    • SQL MID
    • SQL avg()
    • SQL WEEK
    • SQL DELETE
    • SQL DATEPART()
    • SQL DECODE()
    • SQL DENSE_RANK()
    • SQL NTILE()
    • SQL NULLIF()
    • SQL Stuff
    • SQL Ceiling
    • SQL EXISTS
    • SQL LEAD()
    • SQL COALESCE
    • SQL BLOB
    • SQL ROW_NUMBER
    • SQL Server Replace
    • SQL Ranking Function
    • SQL Server Permission
  • T-SQL
    • T-SQL pivot
    • T-SQL Formatter
    • T-SQL TRY CATCH
    • T-SQL CTE
    • T-SQL CASE
    • T-SQL DATEPART
    • T-SQL Date Format
    • T-SQL ROUND
    • T-SQL Loop
    • T-SQL IIF
    • T-SQL Union
    • T-SQL CREATE TABLE
    • T-SQL INSERT
    • T-SQL Stuff
    • T-SQL ISNULL
    • T-SQL ADD Column
    • T-SQL DATEDIFF
  • Joins
    • Join Query in SQL
    • Types of Joins in SQL
    • Types of Joins in SQL Server
    • SQL Inner Join
    • SQL Join Two Tables
    • SQL Delete Join
    • SQL Left Join
    • LEFT OUTER JOIN in SQL
    • SQL Right Join
    • SQL Cross Join
    • SQL Outer Join
    • SQL Full Join
    • SQL Self Join
    • Natural Join SQL
    • SQL Multiple Join
  • Advanced
    • MDF File in SQL Server
    • SQL Aliases
    • SQL Hosting
    • SQL Auto Increment
    • SQL Injection
    • SQL Wildcards
    • SQL Check
    • SQL Indexes
    • Select Distinct
    • SQL BETWEEN
    • SQLPlus spool
    • SQL Create Table
    • SQL Schema
    • Comparison Operators in SQL
    • SQL_plus
    • SQL Formatter
    • SQL LEFT INNER JOIN
    • SQL Plus Command
    • SQLPlus not found
    • SQL Injection Attack
    • Aggregate Functions in SQL
    • SQL REVOKE
    • SQL Select Distinct Count
    • IF ELSE Statement in SQL
    • SQL CASE Statement
    • SQL While Loop
    • SQL BIGINT
    • SQL Crosstab
    • SQL Wildcard Character
    • SQL INSTR()
    • SQL now
    • SQL synonyms
    • SQLite?export to csv
    • What is Procedure in SQL
    • Stored Procedure in SQL?
    • SQL Server Constraints
    • SQL DELETE ROW
    • Column in SQL
    • Table in SQL
    • SQL Virtual Table
    • SQL Merge Two Tables
    • SQL Table Partitioning
    • SQL Temporary Table
    • SQL Clone Table
    • SQL Rename Table
    • SQL LOCK TABLE
    • SQL Clear Table
    • SQL DESCRIBE TABLE
    • SQL Mapping
    • Cursors in SQL
    • AND in SQL
    • Wildcard in SQL
    • SQL FETCH NEXT
    • SQL Views
    • SQL Delete View
    • Triggers in SQL
    • SQL UPDATE Trigger
    • SQL AFTER UPDATE Trigger
    • SQL Update Statement
    • SQL DROP TRIGGER
    • SQL DROP Table
    • Types of SQL Views
    • SQL Port
    • SQL Clustered Index
    • SQL COMMIT
    • Distinct Keyword in SQL
    • PARTITION BY in SQL
    • SQL Set Operators
    • SQL UNION ALL
    • Metadata in SQL
    • SQL Bulk Insert
    • Array in SQL
    • SQL REGEXP
    • JSON in SQL
    • SQL For loop
    • EXPLAIN in SQL
    • ROLLUP in SQL
    • Escape Character SQL
    • SQL Cluster
    • SQL Backup
    • SQL Pattern Matching
    • SQL Users
    • ISNULL SQL Server
    • SQL pivot
    • SQL Import CSV
    • SQL if then else
    • SQL ignore-case
    • SQL Matches
    • SQL Search String
    • SQL Column Alias
    • SQL extensions
    • SQL Substring Function
    • Charindex SQL
  • SqlAlchemy
    • What is SQLAlchemy
    • SqlAlchemy ORM
    • SQLAlchemy count
    • SQLAlchemy update object
    • SQLAlchemy pip
    • SQLAlchemy Connection
    • SQLAlchemy Metadata
    • SQLAlchemy Raw SQL
    • SQLAlchemy Filter in List
    • SQLAlchemy Alias
    • SQLAlchemy unique
    • SQLAlchemy JSONB
    • SQLAlchemy Async
    • SQLAlchemy Types
    • SQLAlchemy Many to Many
    • SQLAlchemy Example
    • SQLAlchemy Model
    • SQLAlchemy Data Types
    • SQLAlchemy Filter
    • SQLAlchemy SQLite
    • SQLAlchemy DateTime
    • SQLAlchemy create_engine
    • SQLAlchemy Delete
    • SQLAlchemy Migrations
  • NoSQL
    • NoSQL Databases List
    • NoSQL Data Modeling
    • Types of NoSQL Databases
    • NoSQL Injection
    • NoSQL vs SQL Databases
    • NoSQL Use Cases
    • NoSQL Key Value

Related Courses

JDBC Training Course

PHP course

Windows 10 Training

SQL Course Training

PL/SQL Certification Courses

Oracle Certification Courses

Advance SQL Interview Questions And Answers

By Priya PedamkarPriya Pedamkar

Advance SQL Interview Questions And Answers

Introduction To Advance SQL Interview Questions And Answers

So you have finally found your dream job in Advance SQL but are wondering how to crack the 2023 Advance SQL Interview and what could be the probable Advance SQL Interview Questions. Every interview is different and the scope of a job is different too. Keeping this in mind we have designed the most common Advance SQL Interview Questions and Answers to help you get success in your interview.

Below is the top Advance SQL Interview Questions that are asked frequently in an interview:

1. What is a Synonym?

Answer:
A synonym allows you to create alternate names for objects inside of the database. If an object is renamed, or the schema of an object is changed, a synonym can allow existing applications to continue to use the old names. Synonyms can also reference objects in different databases, or even different servers, by using three-part or four-part object names. A synonym must reference a database object, and not another synonym. Multiple names can be created for a single database object, so long as they all refer directly to the database object.

2. What are the advantages of using Synonyms?

Answer:

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

  • SYNONYMs provide a layer of abstraction over the referenced object
  • Allow changes to complicated (multi-part) and lengthy names with a simplified alias as a same server resident object.
  • Provides flexibility for changing the location of objects without changing existing code.
  • SYNONYMs can be created in the same database to provide backward compatibility for older applications in case of a drop or rename of objects.
  • SYNONYMs can be useful if you give the front-end query tools like spreadsheets and Access linked tables’ direct links into the tables.

3. Highlight few disadvantages of using synonyms?

Answer:

  • SYNONYMs are loosely coupled to the referenced objects which mean SYNONYM can be deleted without showing any warning that it is being referenced by any other database object.
  • Chaining within is not allowed. It means that you cannot create SYNONYM of a SYNONYM.
  • You cannot create a table with the same name of a synonym
  • The object for which the SYNONYM is being created is checked at runtime. It is not checked at creation time. Therefore if you make any related error e.g. spelling error, the synonym will be created successfully, but you will get an error while accessing the object.
  • SYNONYM cannot be referenced in a DDL statement

4. Name the commonly used Aggregate Functions in SQL Server

Answer:
AVG, CHECKSUM_AGG, COUNT, COUNT_BIG, GROUPING, MAX, MIN, SUM, STDEV, STDEVP, VAR, VARP

5. Explain the usage of Aggregate functions?

Answer:

AVG Returns the average value in the set. Ignores null values; can be configured to average all values (the default) or only distinct values in the set.
CHECKSUM_AGG Returns the checksum of the values in the group, either all or distinct, ignoring null values.
COUNT Returns the number of rows, all or distinct, based on an expression or (optionally) a simple row count.
COUNT_BIG Executes like COUNT, except that it returns a bigint rather than an int datatype.
GROUPING Indicates if a specified column in a GROUP BY list is aggregate. Returns 0 or 1.
MAX Returns the maximum value in the set based on the provided column name.
MIN Returns the minimum value in the set based on the provided column name.
SUM Returns the sum of values in the set based on the provided column name.
STDEV Returns the statistical standard deviation of all values based on the provided column name.
STDEVP Returns the statistical population standard deviation of all values based on the provided column name.
VAR Returns the statistical variance of all values based on the provided column name.
VARP Returns the statistical population variance of all values based on the provided column name.

6. Name different types of possible joins in SQL?

Answer:
INNER JOIN, LEFT OUTER JOIN, RIGHT OUTER JOIN, FULL OUTER JOIN, CROSS JOIN

7. Describe various Join types?

Answer:

Join Type

Description

INNER JOIN Returns requested data for every row in each table only where there is an exact match on the join field.
LEFT OUTER JOIN Returns requested data for all rows from the first table stated in the join operation; only returns data for rows from the second stated table where there is a matching value. This can result in null values in the result when the first stated table in the join has a row with no matching row(s) in the second stated table.
RIGHT OUTER JOIN Returns requested data for all rows from the second table stated in the join operation; only returns data for rows from the first stated table where there is a matching value. This can result in null values in the result when the second stated table in the join has a row with no matching row(s) in the first stated table.
FULL OUTER JOIN Returns requested data for all rows in both correlated tabled, but the result will contain null values for rows with no matching join value on the other side.
CROSS JOIN Returns a Cartesian (Cross) product; in other words, all possible combinations of rows between the two tables.

8. What is Scalar Subqueries and Correlated Subqueries

Answer
When a subquery returns exactly one row and one column of data, it is considered a scalar subquery.
Sometimes, a subquery cannot process without information from the outer query. In these cases, table aliases are used to define the scope of the query arguments and allow the subquery to be “parameterized” from the outer query. The inner query is, therefore, correlated to the outer query. The net effect is a “back and forth” execution where a single row from the result of the outer query is permitted to pass parameters to the inner query for execution

9. How will you find the second highest salary of an employee?

Answer
Select MAX (salary) from EDUCBA_Employee WHERE salary NOT IN (select MAX(salary) from EDUCBA_EMPLOYEE)

10. What is Common Table Expressions (CTE)

Answer
The Common Table Expression (CTE) was introduced in SQL Server 2005. The purpose of the CTE is to provide a syntactical option that allows the developer to work with temporary data structures logically rather than physically. Instead of having to create temporary tables or table variables to accomplish more complex tasks, the SQL developer can now use the CTE and simplify the logic significantly. The basic format of the CTE is
WITH expression_name [ ( column_name [,…n] ) ] AS
( CTE_query_definition )
SELECT <column_list>
FROM expression_name;

11. How to get alternate records from the table?

Answer
Records can get for both Odd and Even row numbers -.
For even numbers: –
Select employee_id from (Select rowno, employee_id from employee) where mod(rowno,2) =0
For odd numbers: –
Select employee_id from (Select rowno, employee_id from employee) where mod(rowno,2) =1

12.What is the difference between NVL and NVL2 functions?

Answer
The NVL (exp1, exp2) function converts the expression exp1 to the target expression exp2 if exp1 contains NULL. exp1 has same data type as that of a return value.
The NVL2 (exp1, exp2, exp3) function checks the first expression exp1, if exp1 is not null then, the second expression exp2 is returned as a result. If the first expression exp1 is null, then the third expression exp3 is returned as a result.

Recommended Article

This has been a guide to the List of Advanced SQL Interview Questions and Answers so that the candidate can crackdown these Advance SQL Interview Questions easily. You may also look at the following articles to learn more –

All in One Data Science Bundle(360+ Courses, 50+ projects)
Python TutorialMachine LearningAWSArtificial Intelligence
TableauR ProgrammingPowerBIDeep Learning
Price
View Courses
360+ Online Courses | 50+ projects | 1500+ Hours | Verifiable Certificates | Lifetime Access
4.7 (86,584 ratings)
  1. SSRS Interview Questions – How To Crack Top 10 Questions
  2. 12 Most Successful TSQL Interview Questions And Answers
  3. 5 Most Important Cognos Interview Questions And Answer
  4. Guide to AGGREGATE Function in Excel
Popular Course in this category
SQL Training Program (7 Courses, 8+ Projects)
  7 Online Courses |  8 Hands-on Projects |  73+ Hours |  Verifiable Certificate of Completion
4.5
Price

View Course

Related Courses

JDBC Training (6 Courses, 7+ Projects)4.9
PHP Training (5 Courses, 3 Project)4.8
Windows 10 Training (4 Courses, 4+ Projects)4.7
PL SQL Training (4 Courses, 2+ Projects)4.7
Oracle Training (14 Courses, 8+ Projects)4.7
2 Shares
Share
Tweet
Share
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2022 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

SPSS, Data visualization with Python, Matplotlib Library, Seaborn Package

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more