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NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a data warehouse that stored sales data. One fact table has 100 million rows.
You must reduce storage needs for the data warehouse.
You need to implement a solution that uses column-based storage and provides real-time analytics for the operational workload.
Solution: You load the data in a heap table.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation/Reference:
It is better to use a clustered index.
Columnstore indexes are the standard for storing and querying large data warehousing fact tables. It uses column-based data storage and query processing to achieve up to 10x query performance gains in your data warehouse over traditional row-oriented storage, and up to 10x data compression over the uncompressed data size.
In SQL Server, rowstore refers to table where the underlying data storage format is a heap, a clustered index, or a memory-optimized table.
References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes- overview