Which services does Oracle Data Science utilize?

Which services does Oracle Data Science utilize?

• A. Compute, Block Storage
• B. Object Storage, Networking
• C. Container Engine, Object Storage
• D. Cloud Infrastructure, Data Lakes

Answer: (A)

Oracle Data Science utilizes various services to provide a comprehensive environment for data science workflows. The correct answer focuses on the foundational services that are critical for running data science experiments, managing data, and running machine learning models effectively. Compute services are essential because they provide the necessary processing power to run data analysis, machine learning algorithms, and other computational tasks associated with data science. Block storage is utilized to store data and models efficiently, allowing for quick access during the data science process. This combination enables seamless execution of data-heavy tasks and supports the iterative nature of data science, where models are frequently trained and tested. While other services listed in the options contribute to the broader Oracle Cloud infrastructure, they may not be as directly relevant to the core functions of a data science platform as Compute and Block Storage are. Thus, the emphasis on these services highlights their importance in processing and managing the significant data demands of data science workflows.

Oracle Data Science utilizes various services to provide a comprehensive environment for data science workflows. The correct answer focuses on the foundational services that are critical for running data science experiments, managing data, and running machine learning models effectively.

Compute services are essential because they provide the necessary processing power to run data analysis, machine learning algorithms, and other computational tasks associated with data science. Block storage is utilized to store data and models efficiently, allowing for quick access during the data science process. This combination enables seamless execution of data-heavy tasks and supports the iterative nature of data science, where models are frequently trained and tested.

While other services listed in the options contribute to the broader Oracle Cloud infrastructure, they may not be as directly relevant to the core functions of a data science platform as Compute and Block Storage are. Thus, the emphasis on these services highlights their importance in processing and managing the significant data demands of data science workflows.