Solution:Step 1: Match Employees with Sales using LEFT JOINAll Employees rows appear. For matching emp_id in Sales, amount is shown; else NULL.Step 2: Map each employee to sales amount or NULLAlice (id=1) matches 100, Bob (id=2) no match so NULL, Carol (id=3) matches 200.Final Answer:[('Alice', 100)

[Solved] Given these tables:Employeesid | name1 | Alice2 | Bob3 | CarolSalesemp_id | amount1 | 1003 | 200What is the result of:SELECT Employees.name, Sales.amount FROM Employees LEFT JOIN Sales ON Employees.... | SQL

SQL - LEFT and RIGHT JOIN

A[('Alice', 100), ('Bob', 0), ('Carol', 200)]

B[('Alice', 100), ('Bob', NULL), ('Carol', 200)]

C[('Alice', 100), ('Carol', 200)]

D[('Bob', NULL)]

Step-by-Step Solution

Solution:

Step 1: Match Employees with Sales using LEFT JOIN
All Employees rows appear. For matching emp_id in Sales, amount is shown; else NULL.
Step 2: Map each employee to sales amount or NULL
Alice (id=1) matches 100, Bob (id=2) no match so NULL, Carol (id=3) matches 200.
Final Answer:
[('Alice', 100), ('Bob', NULL), ('Carol', 200)] -> Option B
Quick Check:
LEFT JOIN keeps all left rows with NULL for no match [OK]

Quick Trick: LEFT JOIN shows NULL for unmatched right rows, not zero [OK]

Common Mistakes:

MISTAKES

Replacing NULL with zero
Omitting unmatched rows
Confusing LEFT JOIN with INNER JOIN

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Given these tables:

Step 1: Match Employees with Sales using LEFT JOIN

Step 2: Map each employee to sales amount or NULL

Final Answer:

Quick Check:

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