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AIF-C01 Exam Dumps - AWS Certified AI Practitioner Exam

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Question # 41

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

A.

Feature engineering

B.

Model training

C.

Data collection

D.

Business goal identification

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Question # 42

An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.

Which solution meets these requirements with the LEAST implementation effort?

A.

Fine-tune the model by using additional training data that is representative of the various age ranges that the application will support.

B.

Add a role description to the prompt context that instructs the model of the age range that the response should target.

C.

Use chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.

D.

Summarize the response text depending on the age of the user so that younger users receive shorter responses.

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Question # 43

A company trained an ML model on Amazon SageMaker to predict customer credit risk. The model shows 90% recall on training data and 40% recall on unseen testing data.

Which conclusion can the company draw from these results?

A.

The model is overfitting on the training data.

B.

The model is underfitting on the training data.

C.

The model has insufficient training data.

D.

The model has insufficient testing data.

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Question # 44

A company is developing an ML model to predict customer churn.

Which evaluation metric will assess the model's performance on a binary classification task such as predicting chum?

A.

F1 score

B.

Mean squared error (MSE)

C.

R-squared

D.

Time used to train the model

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Question # 45

A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.

Which solution meets these requirements?

A.

Build an automatic named entity recognition system.

B.

Create a recommendation engine.

C.

Develop a summarization chatbot.

D.

Develop a multi-language translation system.

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Question # 46

A company wants to improve the accuracy of the responses from a generative AI application. The application uses a foundation model (FM) on Amazon Bedrock.

Which solution meets these requirements MOST cost-effectively?

A.

Fine-tune the FM.

B.

Retrain the FM.

C.

Train a new FM.

D.

Use prompt engineering.

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Question # 47

Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual information?

A.

Embeddings

B.

Tokens

C.

Models

D.

Binaries

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Question # 48

A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources.

Which AI learning strategy provides this self-improvement capability?

A.

Supervised learning with a manually curated dataset of good responses and bad responses

B.

Reinforcement learning with rewards for positive customer feedback

C.

Unsupervised learning to find clusters of similar customer inquiries

D.

Supervised learning with a continuously updated FAQ database

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