For serverless Spark processing in Oracle’s Lakehouse architecture, "OCI Data Flow" (C) is the
designated service. OCI Data Flow is a fully managed, serverless platform that enables users to run
Apache Spark applications without managing infrastructure, making it ideal for big data processing
tasks like ETL, machine learning, and analytics. "Oracle Analytics Cloud" (A) is an analytics and
visualization tool, not a Spark processing engine. "OCI Object Storage" (B) provides scalable storage
but lacks processing capabilities, and "OCI Data Catalog" (D) is for metadata management, not Spark
job execution. Oracle’s OCI documentation confirms OCI Data Flow as the primary service for
serverless Spark workloads in the Lakehouse.
Reference: OCI Data Flow Documentation, Oracle Lakehouse Architecture Guide.
