Top 5 Advanced SQL Interview Questions and Answers | Frequently Asked SQL interview questions

In this video we will discuss most frequently asked top 5 Advanced SQL interview questions for experienced. We will also cover different variations of each questions. If you have any interview I am sure 2-3 questions will be from this list.
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#sql #analytics

[@ankitbansal6]

Here is the detailed explanation of question number 5. Please do like the video to help me reach to more people. Thanks in advance 🙏🙏
Most asked SQL interview question:
th-cam.com/video/xR87ctOgpAE/w-d-xo.html

[@SinghSahab-gg1ow]

request to u pls pls provide same data for practice

[@nikhilsharma-jj6vd]

Hi Sir, I recently got a sql question in HackerRank Interview for Techincal support engineer. Can you give us a solution. If yes, how can I send you the question please revert sir

[@ankitbansal6]

@@nikhilsharma-jj6vd send it on [e-mail]

[@nikhilsharma-jj6vd]

@@ankitbansal6 sure sir. Sir I've also sent you request on LinkedIn. Please accept

[@nikhilsharma-jj6vd]

@@ankitbansal6 sent sir please check

[@llciii]

I love the fact that you explained keywords that’ll give you an idea of how of to solve the problem 👏🏾👏🏾👏🏾. I’ve just subbed to your channel and liked the video

[@heyrobined]

Make More videos These are really good coverage of what kind of questions asked by companies

[@akashjha7277]

Excellent explanation sir, slow and clear

[@JeetendraKasi]

Excellent explanation using data and common mistakes that someone can do while querying the data.

[@aman_mashetty5185]

Great video as usual awesome....!👏👏

[@sriharsha398]

Thank you sir for such valuable content with a clean explanation sir

[@prateekkumar-xc6uo]

Hello Ankit , excellent explanation of sql concepts thanks for sharing with all . could you pls share the dataset for this?

[@varunl6948]

This was helpful!

[@aadarshchaudhari3957]

Great explanation 👏

[@dfkgjdflkg]

As usual, I love your content. Original, helpful and puzzling how you find the solutions. Original content

[@ankitbansal6]

Glad you enjoy it!

[@udhaybhaskarbellamkonda1678]

Good Content,Keep it up 😊

[@shwetamishra1497]

Very informative video.
Please provide us data for practice.

[@vamsivamsi2029]

Thanks ankit

[@kaustavraytalukdar5466]

Helpful video, dataset please.

[@zuhebkhan6973]

Thanks in advance

[@prabhac2273]

Excellent and clear explanation. Thanks for uploading.

[@ankitbansal6]

You are welcome!

[@udayakumar9949]

Really like your content. Please create for python also

[@SunilKumar_67]

Great efforts in educating us. Thank you Ankit

[@ankitbansal6]

It's my pleasure🙏

[@user-js2vt3nz2k]

Thank you so much for this video! Your explanation was so clear and easy to understand. I’ve been struggling with this concept for a while, and your content really made it click for me. Keep up the amazing work!

[@ankitbansal6]

You are so welcome!

[@temik6500]

Hi Ankit,
Thank you for what you're doing. Very interesting scenarios. How can one get access to the table's data pls? I was able to create the employee table for practice but the order table was not visible enough as it's more volumunous. This will be helpful for practice purpose. Many thanks

[@shikharsaxena8984]

Very helpful video Ankit 👏👏🙂

[@ankitbansal6]

Glad to hear that

[@sravankumar1767]

Superb explanation Ankit👌 👏 👍

[@ankitbansal6]

Thank you 🙂

[@madhustips8304]

really awesome content

[@ankitbansal6]

Thank you 😊

[@gauravsati1041]

Its very informative video, can you please share the dataset also?

[@raghibelahi937]

Thank you so much sir.
Could you please share the dataset.

[@rk-ej9ep]

This is awesome..I subscribed to ur paid course also..

[@ankitbansal6]

Great. Thankyou 😊

[@niharranjandhar3457]

Inner 8
Left 8
Right 9

[@chiranjitdey3788]

Hi Ankit,
Can you help solve this question. This question was asked to me in one of the interviews for data analyst position.
Write an SQL query to find out the employees whose salary got increased at least 115% compared to the previous maximum salary. The result output should contain the following columns such as employee_name, salary, and salary_growth_percentage.

[@user-js2vt3nz2k]

Hi Ankit, I have tried multiple times for -YOY growth for product with current month sales more than previous moth sales
Could you just correct me if my query is wrong?
here is my query for the same:
with cte as (
select product_id,month(order_date) as month_order,year(order_date) as year_order, sum(sales) as sales
from Orders
group by product_id,month(order_date),year(order_date)
),
cte2 as
(select *, lag(sales,1) over( partition by product_id order by month_order,year_order) as previous_month_sales
from cte
)
select *
from cte2
where sales>previous_month_sales ;

[@nevergiveup3475]

First comment❤

[@sravyasrinivas]

Hi ankit. Could you please share the DDL script for these questions.

[@krsnabnsl]

Hi @Ankit,
can you please provide data link, so we can test on your own.

[@Robert-uw8dn]

Hey Ankit, could you please share the data to practice

[@minakshityagi7785]

How to find roling quater sales? Ankit Sir can you reply with sql query?

[@indiebadger5225]

Hello Ankit, which screen recording application do you use? And if I am on a call with some, will the recording take their sound as well. Thanks

[@ankitbansal6]

I use chrome extension for screen recording

[@sonalpriya6402]

Please share dataset for practice

[@Leo-qo5hk]

Hello Ankit could you please share the script for this queries

[@yashpratap9045]

Hello Ankit, love your content and the way you explain things it makes easy for anyone to understand these concepts.
Regarding the top 5 products per category question, if we apply the row number with other conditions in a single CTE and then filter it based rn to fetch top 5 products ( please see the query below ). I just wanted to understand by combining everything in a single CTE, are there any edge cases that will not work with this approach? Looking forward to hearing from you!
WITH CTE AS (SELECT
Category,
Product_ID,
Sum(Sales) as sales,
row_number() over(partition by Category order by sum(Sales) DESC) as rn
FROM Orders
GROUP BY Category, Product_ID)
SELECT *
FROM CTE
WHERE rn

[@ankitbansal6]

This is also fine

[@yashpratap9045]

@@ankitbansal6 thank you!!

[@zuhebkhan6973]

Hi Ankit Bhai I love your work and I have learnt lot from ur videos as from non IT background I have learnt lot from ur end and started giving interviews for IT sector
Today I had interview and they had asked one question on sql
Like we have a table with row as string
Table1
A
B
C now they need output as
Abc
Bac
Cab
Bac like wise plse help me making this video it will great help to me and other like me

[@ankitbansal6]

What's the logic here .?

[@zuhebkhan6973]

Even I'm clue less they ask me to get column as crossponding each letter

[@Chetan_15]

Q1. i want to show top 3 salllary employee but i used * before Top 3 how we get to know the position

[@anikeetdey3411]

plz share the insert query , so that we can practice along with you

[@macx8360]

sir dataset plz

[@anchal7876]

where i can find syntax?

[@usharanikallubhavi7466]

at around 16:50 time of the video, NULL has been replaced by sales. So, we have got the same value in row1 for both sales and previuos_year_sales columns. But, logically speaking there’s no year previous to 2018, so the previous_year_sales should have been 0, isn’t it. Please clarify. Thanks.

[@ankitbansal6]

If we consider it has 0 then growth will be very high. The same means no growth as the company just started .

[@usharanikallubhavi7466]

@@ankitbansal6 Appreciate the quick response.

[@sravankumar1767]

Can you please take one scenario and explain using where & And condition output results for each joins

[@ankitbansal6]

Check this out
th-cam.com/video/Ypwfq5tNw-4/w-d-xo.html

[@maqbul313]

Please provide employee and orders table scripts for download. Thank you

[@UshaNirmal-we6ct]

Hi ankit can you make sql 100 practical questions to lifetime access instead of 1 year
Please do that I am about to buy that course

[@yashwanthgaming137]

Que: In a month vendor is null then replace with previous month vendors.
Input:
Year | Vendor | Amt
1-2021 | A | 100
1-2021 | B | 200
1-2021 | C | 300
2-2021 | Null | Null
3-2021 | A1 | 210
3-2021 | B1 | 230
4-2021 | Null | Null
output:
Year | Vendor | Amt
1-2021 | A | 100
1-2021 | B | 200
1-2021 | C | 300
2-2021 | A | 100
2-2021 | B | 200
2-2021 | C | 300
3-2021 | A1 | 210
3-2021 | B1 | 230
4-2021 | A1 | 210
4-2021 | B1 | 230
How to solve this question Ankit Sir

[@user-dw4zx2rn9v]

with cte as (
select * , lag(grp) over (order by date) as prev_grp from (select date, group_concat(vendor) as grp from sales
group by date) as x
)
, cte2 as
(select date, grp from cte
union all
select date, prev_grp as grp from cte
)
,cte3 as (
select * from cte2
where grp is not null
)
SELECT
date,
SUBSTRING_INDEX(SUBSTRING_INDEX(grp, ',', n), ',', -1) AS grp
FROM cte3
CROSS JOIN
(SELECT 1 AS n UNION ALL SELECT 2 UNION ALL SELECT 3 UNION ALL SELECT 4) AS numbers
WHERE
n

[@pranaykukadkar7092]

@ankitbansal6 Please provide the sample data for order table for practise purpose. Thank you

[@anand.maheshwari]

Kindly tell us where would I found the data you used.

[@krishnatripathi5461]

Share the dataset please

[@jaychavan119]

Please provide the Database

[@vishalsonawane.8905]

@ankitbansal6
Sir content is incomplete until u can not provide your dataset link in description in video :)

[@Nishanthviswajith]

We can use self join instead of lead and lag functions

[@AbhishekKumar-gf4db]

Thanks #ankit sir, for this important video.
Please 🙏 create a separate video for how to deal with HR,when she asks why you want to leave your job now,you have only 1 year experience.