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A data engineering team needs to incrementally ingest customer transactions from a SaaS application into the Databricks Data Intelligence Platform with the following capabilities: Built-in change data capture, including updates and deletes Automatic schema evolution Serverless execution with retries and minimal maintenance OAuth support and basic monitoring Which solution meets all the requirements?
Correct Answer: D
Option D satisfies the requirements because a Lakeflow Connect managed SaaS connector provides source-specific authentication, incremental ingestion, schema evolution, and automated retries as managed capabilities. Managed connectors use serverless infrastructure and publish governed destination tables that can be processed downstream with Lakeflow Spark Declarative Pipelines. This avoids custom code for OAuth token handling, API pagination, CDC state management, retry behavior, and schema-change recovery. Option A still requires the engineering team to implement and maintain CDC and operational logic. Options B and C place most authentication, schema evolution, change tracking, and failure recovery responsibilities in custom notebooks or jobs, conflicting with the minimal-maintenance requirement. Therefore, the fully managed connector described in option D is the only solution that delivers the requested ingestion and operational behavior as an integrated platform capability.