Which Lakehouse service should you use for serverless Spark processing?
A.
Oracle Analytics Cloud
B.
OCI Object Storage
C.
OCI Data Flow
D.
OCI Data Catalog
The Answer Is:
C
This question includes an explanation.
Explanation:
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.
[References: OCI Data Flow Documentation, Oracle Lakehouse Architecture Guide., ]
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