Question

A media company uses a foundation model on Amazon Bedrock to generate SEO metadata descriptions for its archive of 2 million historical articles. The processing is a one-time bulk job with no user waiting for results, and the team wants to minimize cost. Which invocation approach best fits this workload?

Accepted Answer

Use Bedrock batch inference, submitting the articles as a bulk job that processes asynchronously

Answer

Configure Provisioned Throughput to guarantee dedicated capacity for the workload

Answer

Call the on-demand real-time InvokeModel API once per article as fast as possible

Answer

Enable prompt caching so repeated context across articles is reused