What can be done once the training of a machine learning model has been completed in SAP AI Core? Note: There are 2 correct answers to this question.

Question

Options

• AThe model can be deployed in SAP HANA.
• BThe model's accuracy can be optimized directly in SAP HANA.
• CThe model can be deployed for inferencing.
• DThe model can be registered in the hyperscaler object store.

• A
  5% (2)
• B
  16% (7)
• C
  80% (35)

Explanation

After training completes in SAP AI Core, C is correct because the trained model can be deployed as an inference service - this is the primary purpose of the deployment pipeline, enabling real-time or batch predictions via API endpoints. D is correct because SAP AI Core integrates with hyperscaler object stores (like AWS S3, Azure Blob, or Google Cloud Storage) to register and version trained model artifacts for future use or redeployment.

Options A and B are distractors: SAP HANA is a database/analytics platform, not the deployment target for AI Core models - deploying or optimizing model accuracy "directly in SAP HANA" conflates two separate products in the SAP ecosystem.

Memory tip: Think "store and serve" - after training, you Deposit the model in the object store and Call it into service for inferencing. If an option mentions SAP HANA as the deployment/optimization target, it's a trap.

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