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Answer: Combine the use of the visual query editor to identify slow-running queries, analyze the query execution plan to understand bottlenecks, and selectively create indexes on frequently accessed columns to optimize performance efficiently.
The best approach to optimize SQL query performance in a lakehouse environment involves a combination of techniques. Using the visual query editor helps in identifying slow-running queries, analyzing the execution plan provides insights into bottlenecks, and creating indexes on frequently accessed columns can significantly improve performance. This comprehensive approach ensures cost-efficiency and scalability by focusing efforts where they are most needed, rather than applying blanket solutions that may not be optimal.
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You are a Microsoft Fabric Analytics Engineer working on optimizing SQL query performance in a lakehouse environment. The lakehouse contains large datasets, and users have reported slow query responses. Management has emphasized the importance of cost-efficiency and scalability in the solution. Which of the following approaches would you recommend as the BEST practice to analyze and improve query performance? (Choose one option.)
A
Use the visual query editor exclusively to identify and manually rewrite all slow-running queries, focusing on simplifying the SQL syntax without considering the execution plan.
B
Analyze the query execution plan to pinpoint performance bottlenecks and rewrite only the most critical SQL queries, ignoring the potential benefits of indexing.
C
Create indexes on all columns within the lakehouse to ensure maximum query performance, without analyzing the query execution plan or the specific needs of the queries.
D
Combine the use of the visual query editor to identify slow-running queries, analyze the query execution plan to understand bottlenecks, and selectively create indexes on frequently accessed columns to optimize performance efficiently.
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