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Prepare and process data

Your Lakeflow Spark Declarative Pipelines pipeline builds a report table. You need expectation-based validation steps that will fail the pipeline update when either of the following occurs: a key present in validation_copy is missing from report, or a pk value appears more than once in report. Which TWO patterns directly satisfy these requirements?

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