AWS Certified AI Practitioner (AIF-C01)

The AWS Certified AI Practitioner (AIF-C01) were last updated on today.
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Topic 1 - Exam A

Question #46 Topic 1

A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data. Which strategy will successfully fine-tune the model?

  • A Provide labeled data with the prompt field and the completion field.
  • B Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
  • C Purchase Provisioned Throughput for Amazon Bedrock.
  • D Train the model on journals and textbooks.
Suggested Answer: A
NOTE: 选项 A 是正确的,因为使用带有标签的数据(提示字段和完成字段)进行微调是有效的策略。这有助于模型学习并更好地理解特定于公司数据的模式。选项 B 不正确,因为创建一个包含多行 CSV 格式的 .txt 文件并不是标准的微调方法。选项 C 涉及到 Amazon Bedrock 的 Provisioned Throughput,并不是微调模型的有效方法。选项 D 提到使用期刊和教科书来训练模型,这也不适用于当前情境。
Question #47 Topic 1

Which metric measures the runtime efficiency of operating AI models?

  • A Customer satisfaction score (CSAT)
  • B Training time for each epoch
  • C Average response time
  • D Number of training instances
Suggested Answer: C
NOTE: The metric that measures the runtime efficiency of operating AI models is the Average response time, as it indicates how quickly the model can respond during runtime, which is crucial for efficiency.
Question #48 Topic 1

A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality. Which action must the company take to use the custom model through Amazon Bedrock?

  • A Purchase Provisioned Throughput for the custom model.
  • B Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.
  • C Register the model with the Amazon SageMaker Model Registry.
  • D Grant access to the custom model in Amazon Bedrock.
Suggested Answer: D
NOTE: 选项D是正确的,因为根据Amazon Bedrock的文档,为了使用自定义模型,公司需要在Amazon Bedrock中授予对自定义模型的访问权限。其他选项虽然可能与亚马逊的服务有关,但并不是用于通过Amazon Bedrock使用自定义模型的具体步骤。
Question #49 Topic 1

Which strategy evaluates the accuracy of a foundation model (FM) that is used in image classification tasks?

  • A Calculate the total cost of resources used by the model.
  • B Measure the model's accuracy against a predefined benchmark dataset.
  • C Count the number of layers in the neural network.
  • D Assess the color accuracy of images processed by the model.
Suggested Answer: B
NOTE: 选项 B 是正确的,因为评估一个用于图像分类任务的基础模型的准确性通常涉及将其预测结果与已知的、预定义的标准数据集进行比较。这是衡量模型性能的常见方法。
Question #50 Topic 1

A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur. Which solution meets these requirements?

  • A Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.
  • B Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.
  • C Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.
  • D Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.
Suggested Answer: C
NOTE: 选项 C 提到了使用 Guardrails for Amazon Bedrock 来过滤内容,并设置 Amazon CloudWatch 告警以通知策略违规。这直接满足了公司防止模型包含个人信息并接收通知的要求。