AWS Certified AI Practitioner (AIF-C01) — Question 207

An ecommerce company receives multiple gigabytes of customer data daily. The company uses the data to train an ML model to forecast future product demand. The company needs a solution to perform inferences once each day.

Which inference type meets these requirements?

Answer options

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

Correct answer: A

Explanation

Batch inference is the correct choice because it allows processing large volumes of data at once, which aligns with the company's daily requirements. Asynchronous inference might not be suitable since it focuses on processing requests independently and may not adhere to the daily schedule. Real-time inference is designed for immediate results, which is unnecessary in this case, and serverless inference is more focused on scaling rather than the timing of inferences.