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Databricks Certified Data Engineer Associate Exam Databricks-Certified-Data-Engineer-Associate Question # 68 Topic 7 Discussion

Databricks Certified Data Engineer Associate Exam Databricks-Certified-Data-Engineer-Associate Question # 68 Topic 7 Discussion

Databricks-Certified-Data-Engineer-Associate Exam Topic 7 Question 68 Discussion:
Question #: 68
Topic #: 7

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?


A.

Use a Lakeflow Connect standard connector, implement MERGE-based CDC, schema evolution, and retries in workflows, and create a dedicated monitoring dashboard.


B.

Use Auto Loader on exported SaaS files and a Lakeflow Spark Declarative Pipeline that calls the SaaS APIs, handling CDC, schema changes, OAuth, and retries in custom code.


C.

Schedule regional batch jobs that call SaaS REST APIs and write directly to Silver tables using custom CDC and schema-evolution logic.


D.

Use a Lakeflow Connect managed connector for the SaaS application with built-in CDC, schema evolution, OAuth, and serverless compute with retries, and process the data downstream using Lakeflow Spark Declarative Pipelines.


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