Oracle Cloud Infrastructure 2026 Data Science Professional
Validate your expertise in building, training, and deploying machine learning models using the Oracle Cloud Infrastructure Data Science service and MLOps best practices.
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Sample Oracle Cloud Infrastructure 2026 Data Science Professional exam question
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The deployment snippet below is used to put a PyTorch model into production. The call fails because one parameter name is not valid for the current model deployment interface. Which parameter should be changed?
artifact = PyTorchModel(artifact_dir='model_artifacts', score='score.py')
artifact.deploy(
display_name='fraud-inference',
project_id=project_ocid,
compartment_id=compartment_ocid,
shape_name='VM.Standard.E4.Flex',
ocpus=2,
memory_in_gbs=16,
replica_count=1,
)Practice the Oracle Cloud Infrastructure 2026 Data Science Professional
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