Understand OCI Data Science Jobs: This service automates ML tasks (e.g., training, evaluation) with configurable, repeatable executions.
Key Characteristics: Jobs run on OCI’s infrastructure, managed by Oracle, not the customer or third parties, and are specific to Data Science, not general DevOps.
Evaluate Options:
A: Correct—Jobs are defined by users (e.g., via scripts) and executed on OCI’s fully managed compute resources.
B: Incorrect—Infrastructure is managed by OCI, not the customer.
D: Incorrect—Jobs are for Data Science tasks (e.g., ML training), not all DevOps workloads (e.g., CI/CD pipelines).
Reasoning: “Fully managed” means OCI handles provisioning and scaling, aligning with A.
Conclusion: A accurately reflects the service’s purpose and operation.
OCI Data Science Jobs “allow users to define and execute repeatable machine learning tasks, such as model training or batch processing, on fully managed OCI infrastructure.” This eliminates customer management (B), third-party clouds (C), or broad DevOps scope (D). The documentation emphasizes automation and management by OCI, making A the precise description.
Oracle Cloud Infrastructure Data Science Documentation, "Overview of Jobs" section.
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