AWS Certified AI Practitioner (AIF-C01) — Question 63

A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately.
Which Amazon SageMaker inference option will meet these requirements?

Answer options

• A. Batch transform
• B. Real-time inference
• C. Serverless inference
• D. Asynchronous inference

Correct answer: A

Explanation

The correct answer is A, Batch transform, which is designed for processing large datasets and does not require immediate results. Real-time inference (B) provides instant predictions, which is unnecessary in this scenario, while serverless inference (C) is not optimized for bulk processing. Asynchronous inference (D) could also be considered, but Batch transform is specifically tailored for the requirement of handling large datasets without immediate access.