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 #6 Topic 1

A company wants to develop an AI application to help its employees check open customer claims, identify details for a specific claim, and access documents for a claim. Which solution meets these requirements?

A Use Agents for Amazon Bedrock with Amazon Fraud Detector to build the application.
B Use Agents for Amazon Bedrock with Amazon Bedrock knowledge bases to build the application.
C Use Amazon Personalize with Amazon Bedrock knowledge bases to build the application.
D Use Amazon SageMaker to build the application by training a new ML model.

Suggested Answer: B
NOTE: 选项B中的'Agents for Amazon Bedrock with Amazon Bedrock knowledge bases'更适合帮助员工检查开放的客户索赔，识别特定索赔的细节，并访问索赔文档。因为Amazon Bedrock知识库可以存储和检索这些信息，而代理（Agents）可以帮助自动化这一过程。

Question #7 Topic 1

A company has developed an ML model to predict real estate sale prices. The company wants to deploy the model to make predictions without managing servers or infrastructure. Which solution meets these requirements?

A Deploy the model on an Amazon EC2 instance.
B Deploy the model on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster.
C Deploy the model by using Amazon CloudFront with an Amazon S3 integration.
D Deploy the model by using an Amazon SageMaker endpoint.

Suggested Answer: D
NOTE: 选项 D 使用 Amazon SageMaker endpoint 是最符合需求的解决方案。Amazon SageMaker 是一种完全托管的服务，可以构建、训练和部署机器学习模型。使用 SageMaker，公司无需管理服务器或基础设施，这正好满足了问题中提到的需求。

Question #8 Topic 1

A food service company wants to develop an ML model to help decrease daily food waste and increase sales revenue. The company needs to continuously improve the model's accuracy. Which solution meets these requirements?

A Use Amazon SageMaker and iterate with newer data.
B Use Amazon Personalize and iterate with historical data.
C Use Amazon CloudWatch to analyze customer orders.
D Use Amazon Rekognition to optimize the model.

Suggested Answer: A
NOTE: 选择A是因为Amazon SageMaker是一个机器学习平台，它可以用于开发和迭代模型以提高准确性。这符合题目中提到的需要持续改进模型准确性的要求。选项B中的Amazon Personalize主要用于个性化推荐系统，选项C中的Amazon CloudWatch主要用于监控服务和应用，而选项D中的Amazon Rekognition主要用于图像分析。

Question #9 Topic 1

Which phase of the ML lifecycle determines compliance and regulatory requirements?

A Feature engineering
B Model training
C Data collection
D Business goal identification

Suggested Answer: C
NOTE: -

Question #10 Topic 1

A company needs to train an ML model to classify images of different types of animals. The company has a large dataset of labeled images and will not label more data. Which type of learning should the company use to train the model?

A Supervised learning
B Unsupervised learning
C Reinforcement learning
D Active learning

Suggested Answer: A
NOTE: 根据问题描述，公司需要训练一个机器学习模型来分类不同类型的动物图像。他们已经拥有一大批标记好的图像数据，并且不会再对更多数据进行标注。因此，最合适的机器学习方法是监督学习（Supervised learning），因为它使用已标记的数据来进行训练。