Which statement about Data Cloud pipelines is true?

Which statement about Data Cloud pipelines is true?

• A. They define sequences of steps: ingestion, transformation, enrichment, and activation with dependencies
• B. They are deprecated in favor of manual data flow
• C. They operate without any dependencies
• D. They only perform data validation

Answer: (A)

Data Cloud pipelines are about orchestrating data workflows as a defined sequence of steps, with clear dependencies between those steps. They handle ingestion (pulling data in), transformation (cleaning and shaping), enrichment (adding context or additional data), and activation (publishing results to analytics systems or downstream marts). The key point is that each step can rely on the outputs of earlier steps, so the pipeline manages order, retries, and monitoring to ensure a repeatable end-to-end flow. This makes pipelines a structured way to move data from source to usable form, unlike manual data flow, which is error-prone and hard to scale. They also do more than just validate data, and they are not deprecated.

Data Cloud pipelines are about orchestrating data workflows as a defined sequence of steps, with clear dependencies between those steps. They handle ingestion (pulling data in), transformation (cleaning and shaping), enrichment (adding context or additional data), and activation (publishing results to analytics systems or downstream marts). The key point is that each step can rely on the outputs of earlier steps, so the pipeline manages order, retries, and monitoring to ensure a repeatable end-to-end flow. This makes pipelines a structured way to move data from source to usable form, unlike manual data flow, which is error-prone and hard to scale. They also do more than just validate data, and they are not deprecated.