A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level.Which solution will meet these requirements?

Increase the temperature parameter.

A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images.Which solution will meet these requirements?

Retrain the model with a general public dataset.

Automate user feedback integration.

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?

Develop a summarization chatbot.

Build an automatic named entity recognition system.

Create a recommendation engine.

Develop a summarization chatbot.

Develop a multi-language translation system.

What does an F1 score measure in the context of foundation model (FM) performance?

Model speed in generating responses

Financial cost of operating the model

Energy efficiency of the model's computations

Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?

Standardizing information about a model's purpose, performance, and limitations.

Providing a visually appealing summary of a model's capabilities.

Standardizing information about a model's purpose, performance, and limitations.

Reducing the overall computational requirements of a model.

Physically storing models for archival purposes.

A company deployed an AI/ML solution to help customer service agents respond to frequently asked questions. The questions can change over time. The company wants to give customer service agents the ability to ask questions and receive automatically generated answers to common customer questions. Which strategy will meet these requirements MOST cost-effectively?

Use Retrieval Augmented Generation (RAG) with prompt engineering techniques.

Train the model by using context data.

Pre-train and benchmark the model by using context data.

Use Retrieval Augmented Generation (RAG) with prompt engineering techniques.

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

Create medication review summaries by using Amazon Bedrock large language models (LLMs).

Create a time-series forecasting model to analyze the medication reviews by using Amazon Personalize.

Create medication review summaries by using Amazon Bedrock large language models (LLMs).

Create a classification model that categorizes medications into different groups by using Amazon SageMaker.

Create medication review summaries by using Amazon Rekognition.

What does an F1 score measure in the context of foundation model (FM) performance?

Model speed in generating responses.

Financial cost of operating the model.

Energy efficiency of the model's computations.

Amazon AIF-C01 Practice Test 3 - Free Online Exam Prep & Questions

A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.

Which capabilities can the company show compliance for? (Select TWO.)

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Amazon AIF-C01 Practice Test 3

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Amazon AIF-C01 Practice Tests

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