AWS Certified Cloud Practitioner

Explanation

Model Evaluation in Amazon Bedrock Console is the correct answer because:

• Purpose: Amazon Bedrock's Model Evaluation feature allows users to systematically compare different foundation models on specific tasks
• Functionality: It enables side-by-side testing of models like Anthropic Claude, Amazon Titan, AI21 Labs Jurassic, and others
• Metrics: You can evaluate models based on:
  • Speed: Inference latency and throughput
  • Accuracy: Quality of responses for specific tasks (like text summarization)
  • Cost: Performance per dollar
  • Quality: Human evaluation or automated metrics

Why other options are incorrect:

• A) Knowledge Bases: Used for RAG (Retrieval Augmented Generation) with custom data sources, not model comparison
• C) Guardrails: Focus on content safety and filtering, not performance evaluation
• D) Bedrock Pipelines: For orchestrating multi-step workflows, not direct model comparison

This feature helps startups and enterprises make data-driven decisions about which foundation model works best for their specific use case requirements.