DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-ENGINEER Web TestEngine demo

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Question 23 of 40
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Q23 Single choice

A data engineer is using Lakeflow Spark Declarative Pipelines Expectations feature to track the data quality of their incoming sensor data. Periodically, sensors send bad readings that are out of range, and they are currently flagging those rows with a warning and writing them to the silver table along with the good data. They've been given a new requirement - the bad rows need to be quarantined in a separate quarantine table and no longer included in the silver table.

This is the existing code for their silver table:

Question 23 diagram

Which code will satisfy the requirements?

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