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Databricks Certified Data Engineer Associate · Databricks
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- Correct answer : A — A standard connector built as a custom Lakeflow Spark Declarative Pipeline, trading some automation for the flexibility to code custom extraction logic. A . Building a standard connector as a custom pipeline gives the team direct control over pagination, authentication headers, and retry logic in the extraction code, which is the flexibility a niche unsupported source requires, at the cost of some of the automation a managed connector would otherwise provide. B . A managed connector only supports a specific, prebuilt catalog of enterprise sources, so an unsupported niche REST API would not have a managed connector available for it regardless of the UI's simplicity. C . This SQL command loads files that are already staged in cloud object storage and has no ability to call a live REST API directly to retrieve data from it. D . This direct-write API is designed for applications to push individual records into Delta tables themselves, not for Databricks to poll and paginate through an external REST API on a schedule.