Sql Data Analyst Interview Questions | Power BI

SQL Important Topics for Data Analyst/Power BI Interviews. By Srinivas Reddy Excel Telugu Videos.
Basic SQL Concepts:
1. Data Types: Understanding SQL Server-specific data types like INT, VARCHAR, DATETIME, etc.
2. Basic SQL Syntax: Familiarity with the SQL Server-specific syntax for basic commands.
Data Manipulation:
3. SELECT Statements: Writing queries to retrieve data.
4. WHERE Clause: Filtering data with specific conditions.
5. JOINs: Understanding INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN for combining data from multiple tables.
6. GROUP BY: Aggregating data based on one or more columns.
7. HAVING Clause: Filtering groups of data.
8. ORDER BY: Sorting query results.
9. TOP: Limiting the number of rows returned in a result set.
Advanced SQL Queries:
10. Subqueries: Writing and understanding nested queries.
11. Common Table Expressions (CTEs): Using CTEs for recursive queries and better readability.
12. Window Functions: Using functions like ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE() for advanced data analysis.
13. Pivoting and Unpivoting: Converting rows to columns and vice versa for better data analysis and reporting.
14. Set Operators: Understanding UNION, INTERSECT, and EXCEPT.
Performance Tuning:
15. Indexes: Creating and managing indexes to improve query performance.
16. Execution Plans: Analyzing and understanding query execution plans to optimize performance.
17. Query Optimization: Writing efficient queries to reduce execution time and resource consumption.
Data Definition:
18. CREATE, ALTER, DROP: Managing database objects like tables, views, stored procedures, and functions.
19. Constraints: Understanding and using constraints like PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, and CHECK.
20. Transactions: Using transactions to ensure data integrity with BEGIN TRANSACTION, COMMIT, and ROLLBACK.
Security and Permissions:
21. User Management: Creating and managing users and roles.
22. Permissions: Granting and revoking permissions on database objects.
Advanced Features:
23. Stored Procedures: Writing and using stored procedures for reusable SQL code.
24. Functions: Creating user-defined functions for reusable code blocks.
25. Triggers: Using triggers to automate tasks based on specific database events.
Tools and Utilities:
26. SQL Server Management Studio (SSMS): Using SSMS for database management and query execution.
27. SQL Server Integration Services (SSIS): Understanding the basics of SSIS for data integration and ETL processes.
Best Practices:
28. Naming Conventions: Using consistent naming conventions for database objects.
29. Documentation: Documenting queries and database schema for better maintainability.
30. Backup and Recovery: Understanding backup and recovery options to protect data.
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