I think options B and C are definitely recommended practices, but I'm not sure about A. It feels like using the DSL for complex tasks might complicate things.
Hmm, I'm a bit unsure about this. I think the answers are B, C, and E, but I'm not 100% sure. Separating tasks, using shared libraries, and integrating build tools seem like the way to go for a declarative pipeline.
I'm pretty confident on this one. The recommended practices are B, C, and D. Modularizing the pipeline, encapsulating logic in shared libraries, and calling external scripts are all great ways to approach a declarative pipeline.
Okay, I've got this. The best practices are B, C, and E. Separating tasks into steps, using shared libraries, and leveraging external build tools will make the pipeline more maintainable and efficient.
Hmm, this is a tricky one. I'm leaning towards answers C and E - using shared libraries and external build tools seems like a smart way to manage complexity in a declarative pipeline.
I'm not totally sure about this one, but I think the key is to keep the pipeline as simple and modular as possible. Answers B and E seem like good practices to follow.
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