Apache Spark Certification Practice Test

The operation type that does not belong to Spark's workload types is sorting, as it is essentially a specific computation or transformation rather than a type of workload. In Spark, workloads are generally categorized into three primary types: batch processing, streaming processing, and interactive querying.

Batch processing refers to the execution of operations on large datasets that are processed in chunks or batches, making it suitable for applications where real-time processing is not required. Streaming processing, on the other hand, deals with continuous data input and output, allowing for real-time processing and analytics on streaming data. Interactive querying refers to the ability to run ad-hoc queries on datasets, enabling users to retrieve and analyze data on-demand.

Sorting, while an important operation that can be performed within batch or streaming contexts, is not itself a distinct workload type. It is simply one of many operations that can be applied during the execution of batch or streaming jobs. Therefore, it does not fit into the overarching categories that define Spark's workload types.