Databricks Certified Data Engineer - Associate
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In the context of optimizing query performance on Delta Lake tables, consider a scenario where a data engineer is tasked with improving the speed of analytical queries on a large dataset that is frequently queried by multiple departments within an organization. The dataset contains millions of rows and is partitioned by date. The engineer is considering implementing Z-Ordering to enhance query performance. Given the constraints of minimizing storage costs and ensuring compliance with data governance policies, which of the following best describes the benefit of Z-Ordering and its impact on query performance? Choose the single best option.
In the context of optimizing query performance on Delta Lake tables, consider a scenario where a data engineer is tasked with improving the speed of analytical queries on a large dataset that is frequently queried by multiple departments within an organization. The dataset contains millions of rows and is partitioned by date. The engineer is considering implementing Z-Ordering to enhance query performance. Given the constraints of minimizing storage costs and ensuring compliance with data governance policies, which of the following best describes the benefit of Z-Ordering and its impact on query performance? Choose the single best option.
Explanation:
The correct answer is A. Z-Ordering is a method of sorting data that groups together rows with similar values across multiple columns, resulting in a more efficient data layout. This optimization reduces the amount of data that needs to be scanned during queries, thereby improving performance. Importantly, it achieves this without increasing storage costs or compromising data governance policies, making it an ideal solution for the given scenario.