AWS Certified AI Practitioner (AIF-C01) — Question 294

A healthcare company wants to analyze patient data. The data was gathered over the previous year to detect patterns in disease outbreaks. The company needs to create a trend analysis report for each month to present to public health officials. The company must provide insights into patient data from the most recent month of the current year.

Which inference method will meet these requirements MOST cost-effectively?

Answer options

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

Correct answer: B

Explanation

Batch transform is the most cost-effective choice because the workload involves generating reports on a monthly schedule rather than processing data continuously. Batch transform runs predictions on large datasets and automatically provisions and shuts down resources when the job is finished, avoiding idle compute costs. Real-time, serverless, and asynchronous inference are optimized for immediate or near-real-time request-response patterns, which are unnecessary and more expensive for periodic batch reporting.