Answer-first summary for fast verification
Answer: All of the above.
When designing a data warehouse schema in Azure Synapse Analytics, it is important to consider several best practices. Using a star or snowflake schema (Option A) can optimize query performance and simplify data relationships, making it easier to analyze the data. Normalizing the data (Option B) reduces data redundancy and improves data integrity, ensuring consistent and accurate data. Denormalizing the data (Option C) can improve query performance by reducing the complexity of joins, but may increase data redundancy. Therefore, the choice between normalization and denormalization depends on the specific requirements and trade-offs, making Option D the correct answer.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
As a Microsoft Azure Data Engineer Associate, you are responsible for designing a data warehouse solution in Azure Synapse Analytics. What are some of the best practices to consider when designing a data warehouse schema?
A
Use a star or snowflake schema to optimize query performance and simplify data relationships.
B
Normalize the data to reduce data redundancy and improve data integrity.
C
Denormalize the data to improve query performance and reduce the complexity of joins.
D
All of the above.
No comments yet.