sql complex interview questions remove duplicate rows from json data #sqlinterviewquestions

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#sqlinterviewquestionsandanswers

Student and Hospital Management Project in SQL Server
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In SQL interviews, complex questions may involve removing duplicate rows from JSON data. Candidates should demonstrate understanding of the `DISTINCT` or `GROUP BY` clauses along with JSON functions. Efficiently identifying and handling duplicates within the structured and nested nature of JSON fields showcases proficiency. Awareness of window functions like `ROW_NUMBER()` and partitioning can be valuable for advanced scenarios. Effective solutions should consider variations in JSON structures and maintain data integrity while achieving the goal of deduplication.

SQL interview questions assess database proficiency, ranging from fundamental queries to advanced scenarios. Topics include joins, auto-increment, and substring usage. For experienced candidates, tricky questions may test optimization skills. SQL server-related queries, top interview questions, and scenarios are common. JSON tutorials might cover extracting data using SQL's JSON functions, expanding skills for data scientists. SQL developers should handle database design, while database developers need optimization knowledge. Overall, interviewees should demonstrate a strong understanding of SQL concepts and practical problem-solving abilities.