1) report manager in ssrs? 2) components of ssrs? 3) report server in ssrs? 4) diff b/w table &matrix? 5) what are functions in SQL 6) what are materialized views in SQL? 7) questions on PowerBi 8) data warehousing questions? 9)what are sub reports in SSRS? 10) what are cascading report? 11) explain how will u do cascading report? 12)what are linked report? 13) differences b/w functions and stored procedure?

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Interview questions for MSBI Developer on SSRS, SQL functions, PowerBI, data warehousing, and differences between functions and stored procedures.

SSRS components include report manager, report server, sub reports, cascading reports, and linked reports.
Table and matrix are different in terms of data presentation, with table showing data in rows and columns while matrix shows data in a grid format.
SQL functions are pre-defined operations that can be used to manipulate data, such as string functions, date functions, and mathematical functions.
Materialized views in SQL are database objects that store the results of a query and can be used to improve query performance.
PowerBI is a business analytics service that provides interactive visualizations and business intelligence capabilities.
Data warehousing involves collecting and managing data from various sources to support business decision-making.
Sub reports in SSRS are reports that are embedded within another report.
Cascading reports in SSRS are reports that are linked together and filtered based on user selections.
Linked reports in SSRS are reports that are based on an existing report and share the same data source and parameters.
Functions and stored procedures are both database objects that can be used to manipulate data, but functions return a value while stored procedures do not.
Cascading reports can be created in SSRS by linking multiple reports together and passing parameters between them.
Materialized views can be used in SQL to improve query performance by reducing the amount of data that needs to be retrieved from the database.
PowerBI can be used to create interactive dashboards and reports that can be shared with others.
Data warehousing involves designing and implementing a database schema that is optimized for querying and reporting on large amounts of data.

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