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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.
A
Z-Ordering is a method of sorting data that improves query performance by reducing the number of files that need to be scanned, without increasing storage costs or violating data governance policies.
B
Z-Ordering is a technique used to compress data files, resulting in smaller file sizes and faster query performance, but it may increase CPU usage during compression and decompression.
C
Z-Ordering is a method of partitioning data that allows for parallel processing of queries, improving overall query performance, but it requires additional storage for each partition.
D
Z-Ordering is a feature that enables real-time data processing and streaming, allowing for faster query results, but it necessitates continuous data ingestion and processing resources.