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AIP-C01 · Study Guide

← Domain 4: Operational Efficiency and Optimization for GenAI Applications

4.1.3 · Lesson 3 of 16

Throughput Optimization & Batch Inference

Maximize processing capacity for non-real-time workloads using Bedrock Batch Inference and discounted async execution.

WHAT

Maximize system processing capacity for workloads that do not need real-time responses.

HOW

  • Use Amazon Bedrock Batch Inference for asynchronous jobs (e.g., overnight summary processing).
  • Expect roughly a 50% discount versus standard on-demand API calls.

EXAM TRAP

Do not choose real-time Converse for massive overnight batch jobs when cost is the primary constraint.

Key points

  • Bedrock Batch Inference
  • 50% discount vs on-demand
  • Overnight / async jobs
  • S3 input manifests
  • Non-real-time summarization

Exam focus

For non-real-time ingestion (e.g., nightly summaries), Bedrock Batch Inference is the high-yield low-cost path — about 50% off on-demand.

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