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SQL Interview Success: Unlocking the Top 5 Frequently Asked Queries

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 Here are the five top commonly asked SQL queries in the interviews. These you can expect in Data Analyst, or, Data Engineer interviews. Top SQL Queries for Interviews 01. Joins The commonly asked question pertains to providing two tables, determining the number of rows that will return on various join types, and the resultant. Table1 -------- id ---- 1 1 2 3 Table2 -------- id ---- 1 3 1 NULL Output ------- Inner join --------------- 5 rows will return The result will be: =============== 1  1 1   1 1   1 1    1 3    3 02. Substring and Concat Here, we need to write an SQL query to make the upper case of the first letter and the small case of the remaining letter. Table1 ------ ename ===== raJu venKat kRIshna Solution: ========== SELECT CONCAT(UPPER(SUBSTRING(name, 1, 1)), LOWER(SUBSTRING(name, 2))) AS capitalized_name FROM Table1; 03. Case statement SQL Query ========= SELECT Code1, Code2,      CASE         WHEN Code1 = 'A' AND Code2 = 'AA' THEN "A" | "A
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Python Subset: How to Get Subset of Dictionary

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Here's a sample program to get the python subset. In this case, you'll find logic for dictionary subsets.


Subset from a Dictionary in Python


Dictionary python

To illustrate, I have taken a dictionary as below with keys and values.

my_first_dict = {

'HP': 100
'IBM': 200
'NTT': 300
'ABC': 400
'GDF': 500
}

I want to make a subset of values greater than 100 and less than 400. How can you achieve this? No worries, below, you will find the logic.


Logic to get subset out of a dictionary

I am using dictionary comprehension to achieve this.

Syntax:


sub_set = { key:value for key, value in my_first_dict.items() value >100 and value <400}


Result

Dictionary comprehension


References

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