What types of shapes are available for Oracle Data Science Notebook Sessions?

What types of shapes are available for Oracle Data Science Notebook Sessions?

• A. VM.Standard.E2.2, VM.Standard.E2.4, VM.Standard.E2.8
• B. VM.Standard2.1, VM.Standard2.2, VM.Standard2.4
• C. VM.Generic.E2.1, VM.Generic.E2.5, VM.Generic.E2.9
• D. VM.TypeA.E2.1, VM.TypeA.E2.3, VM.TypeA.E2.5

Answer: (A)

The correct choice highlights the specific shapes available for Oracle Data Science Notebook Sessions, identified by the VM.Standard.E2.x classification. These shapes are designed to provide a balanced mix of CPU, memory, and storage that is optimized for data science workloads, which may involve extensive computations and handling of large datasets. VM.Standard.E2.2, VM.Standard.E2.4, and VM.Standard.E2.8 represent different configurations that cater to varying computational needs. For instance, VM.Standard.E2.2 would be suitable for lighter workloads, while VM.Standard.E2.8 would support more intensive processing tasks. This scalability allows users to select the appropriate shape based on their project requirements. The other options reference different naming and configurations that may not align with the specific offerings of Oracle Data Science Notebook Sessions. While they might represent viable shapes in other contexts or cloud platforms, they do not correspond to the established naming convention and appropriate sizing that Oracle has implemented for optimal performance in its data science environment.

The correct choice highlights the specific shapes available for Oracle Data Science Notebook Sessions, identified by the VM.Standard.E2.x classification. These shapes are designed to provide a balanced mix of CPU, memory, and storage that is optimized for data science workloads, which may involve extensive computations and handling of large datasets.

VM.Standard.E2.2, VM.Standard.E2.4, and VM.Standard.E2.8 represent different configurations that cater to varying computational needs. For instance, VM.Standard.E2.2 would be suitable for lighter workloads, while VM.Standard.E2.8 would support more intensive processing tasks. This scalability allows users to select the appropriate shape based on their project requirements.

The other options reference different naming and configurations that may not align with the specific offerings of Oracle Data Science Notebook Sessions. While they might represent viable shapes in other contexts or cloud platforms, they do not correspond to the established naming convention and appropriate sizing that Oracle has implemented for optimal performance in its data science environment.