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AIF-C01 · Question #343

AIF-C01 Question #343: Real Exam Question with Answer & Explanation

The correct answer is B: Batch transform. Batch transform is the most cost-effective inference method for analyzing large amounts of data collected over a period (such as monthly patient data). It allows you to process and generate reports on all historical data in batches, rather than incurring the higher costs of real-

Submitted by mateo_ar· Mar 30, 2026

Question

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?

Options

  • AReal-time inference
  • BBatch transform
  • CServerless inference
  • DAsynchronous inference

Explanation

Batch transform is the most cost-effective inference method for analyzing large amounts of data collected over a period (such as monthly patient data). It allows you to process and generate reports on all historical data in batches, rather than incurring the higher costs of real-time or serverless inference.

Topics

#ML inference#Batch transform#Cost optimization#Historical data processing

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