AWS Certified AI Practitioner (AIF-C01)

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

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Viewing questions 11-15 out of 120 questions

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Topic 1 - Exam A

Question #11 Topic 1

Which strategy will determine if a foundation model (FM) effectively meets business objectives?

A Evaluate the model's performance on benchmark datasets.
B Analyze the model's architecture and hyperparameters.
C Assess the model's alignment with specific use cases.
D Measure the computational resources required for model deployment.

Suggested Answer: C
NOTE: 选择'C'是因为评估模型与特定用例的对齐情况直接关联到业务目标的有效实现。具体来说，用例对齐确保了模型在实际业务场景中的适用性和有效性。

Question #12 Topic 1

A company wants to build a lead prioritization application for its employees to contact potential customers. The application must give employees the ability to view and adjust the weights assigned to different variables in the model based on domain knowledge and expertise. Which ML model type meets these requirements?

A Logistic regression model
B Deep learning model built on principal components
C K-nearest neighbors (k-NN) model
D Neural network

Suggested Answer: A
NOTE: 题目要求的是一个能够根据领域知识和专业知识调整不同变量权重的机器学习模型。逻辑回归模型（Logistic regression model）通常具有这种可解释性和灵活性，可以通过调整系数来改变不同变量的重要性。

Question #13 Topic 1

A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication. Which solution meets these requirements?

A Create a time-series forecasting model to analyze the medication reviews by using Amazon Personalize.
B Create medication review summaries by using Amazon Bedrock large language models (LLMs).
C Create a classification model that categorizes medications into different groups by using Amazon SageMaker.
D Create medication review summaries by using Amazon Rekognition.

Suggested Answer: B
NOTE: 选项B '使用Amazon Bedrock大型语言模型（LLMs）创建药物评论摘要' 更符合要求，因为这些模型可以理解和生成自然语言，适合于从用户评论中提取和总结关键信息。而其他选项主要涉及预测、分类等任务，与创建评论摘要的要求不符。

Question #14 Topic 1

A financial institution is building an AI solution to make loan approval decisions by using a foundation model (FM). For security and audit purposes, the company needs the AI solution's decisions to be explainable. Which factor relates to the explainability of the AI solution's decisions?

A Model complexity
B Training time
C Number of hyperparameters
D Deployment time

Suggested Answer: A
NOTE: The question asks which factor relates to the explainability of the AI solution's decisions. Model complexity is directly related to how explainable a model can be. A simpler model is generally more interpretable and explainable than a complex one. Training time, number of hyperparameters, and deployment time do not directly influence the explainability of the model.

Question #15 Topic 1

A company is implementing intelligent agents to provide conversational search experiences for its customers. The company needs a database service that will support storage and queries of embeddings from a generative AI model as vectors in the database. Which AWS service will meet these requirements?

A Amazon Athena
B Amazon Aurora PostgreSQL
C Amazon Redshift
D Amazon EMR

Suggested Answer: B
NOTE: Amazon Aurora PostgreSQL is chosen because it can support vector storage and queries which are required for embedding vectors from a generative AI model.