Questão 45 — Amazon AIF-C01 Simulado | AWS Certified AI Practitioner Questões e Respostas

A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations. Which solution will meet these requirements?
  • A. Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
  • B. Data augmentation by using an Amazon Bedrock knowledge base
  • C. Image recognition by using Amazon Rekognition
  • D. Data summarization by using Amazon QuickSight
Resposta correta: A

Explicação

Explanation: Amazon SageMaker Ground Truth Plus is a managed data labeling service that includes human-in- the- loop (HITL) validation. This solution ensures high accuracy by involving human reviewers to validate the annotations and reduce the risk of incorrect annotations. Amazon SageMaker Ground Truth Plus: It allows for the creation of high-quality training datasets with human oversight, which minimizes errors in labeling and increases accuracy. Human-in-the-loop workflows help verify the correctness of annotations, ensuring that generated images for protective eyewear meet high-quality standards. Why Option A is Correct: High Accuracy: Human-in-the-loop validation provides the ability to catch and correct errors in annotations, ensuring high-quality data. Minimized Risk of Incorrect Annotations: Human review adds a layer of quality assurance, which is especially important in use cases like generating precise images for protective eyewear. Why Other Options are Incorrect: B . Amazon Bedrock: Does not offer a knowledge base for data augmentation; it focuses on running foundation models. C . Amazon Rekognition: Provides image recognition and analysis, not a solution for minimizing annotation errors. D . Amazon QuickSight: A data visualization tool, not relevant to image annotation or generation tasks. Thus, A is the correct answer for generating high-accuracy images with minimized annotation risks.