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3 Simple SQL Interview Questions #SQL #DataAnalysts #DataEngineers #interviewquestions

Categorizing Employees by Age Groups in Departments The task involves categorizing employees into age groups (young, middle-aged, old, senior citizen) within each department. Using SQL queries with conditional statements and group-by functions allows counting the number of employees per age group for every department. The solution ensures accurate grouping without errors like null values or incorrect counts when no individuals fall under certain categories.

Calculating Percentage Distribution of Age Groups To determine the percentage distribution of employee age groups in departments, divide the count from each category by total departmental headcount and multiply it by 100. This approach provides precise percentages for young-age to senior citizens across all departments while handling cases where specific categories might be absent effectively.

Identifying Second Youngest Employee Per Department Finding second youngest employees requires ranking ages using window functions such as dense rank partitioned by department and ordered ascendingly on ages. Filtering ranks equal to two retrieves details about these second-youngest individuals accurately even if multiple people share similar rankings due their identical birth years ensuring fairness among tied results consistently applied everywhere organizational data exists!