Transactions that run for extended durations and require persistent state is the correct option.

Serverless functions are designed to be short lived and stateless. They scale to zero when idle and often have execution time limits and ephemeral local storage, so long running transactions that must maintain persistent state do not fit the FaaS execution model and should be run as stateful services or long running containers instead.

Cloud Run is not the correct choice because it is itself a serverless container platform that hosts stateless containerized workloads and is commonly used for serverless deployments. It is an example of a serverless hosting option rather than a workload category that would be excluded.

Continuous real time streaming pipelines is not the correct choice because many streaming tasks can be decomposed into small event driven functions and processed by serverless platforms when each processing step is short lived and stateless. If a pipeline requires long lived connections or heavy state then other patterns are needed, but streaming by itself is not generally excluded from serverless use.

Batch analytics jobs is not the correct choice because batch work is often composed of discrete, short lived tasks that can be mapped to serverless functions or serverless containers and benefit from automatic scaling. Very large or very long running analytics may need dedicated resources, but batch as a category is not the best choice for exclusion.

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