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Amazon AIF-C01 Practice Test - Questions Answers, Page 8

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Question 71

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A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups o

Question 72

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

Question 73

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A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that emplo

Question 74

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Which metric measures the runtime efficiency of operating AI models?

Question 75

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Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)?

Question 76

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An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images. Which type of FM should the AI practiti

Question 77

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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 compa

Question 78

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A company has built a solution by using generative AI. The solution uses large language models (LLMs) to translate training manuals from English into other languages. The company wants to evaluate t

Question 79

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How can companies use large language models (LLMs) securely on Amazon Bedrock?

Question 80

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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

Question 71

A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals.

Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?

User-generated content

Moderation logs

Content moderation guidelines

Benchmark datasets

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Question 72

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

Calculate the total cost of resources used by the model.

Measure the model's accuracy against a predefined benchmark dataset.

Count the number of layers in the neural network.

Assess the color accuracy of images processed by the model.

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Question 73

A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that employees provide. The employees have minimal experience with technology.

Which solution meets these requirements?

Generative pre-trained transformers (GPT)

Residual neural network

Support vector machine

WaveNet

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Question 74

Which metric measures the runtime efficiency of operating AI models?

Customer satisfaction score (CSAT)

Training time for each epoch

Average response time

Number of training instances

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Question 75

Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)?

Helps decrease the model's complexity

Improves model performance over time

Decreases the training time requirement

Optimizes model inference time

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Question 76

An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.

Which type of FM should the AI practitioner use to power the search application?

Multi-modal embedding model

Text embedding model

Multi-modal generation model

Image generation model

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Question 77

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?

Purchase Provisioned Throughput for the custom model.

Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.

Grant access to the custom model in Amazon Bedrock.

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Question 78

A company has built a solution by using generative AI. The solution uses large language models (LLMs) to translate training manuals from English into other languages. The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals.

Which model evaluation strategy meets these requirements?

Bilingual Evaluation Understudy (BLEU)

Root mean squared error (RMSE)

Recall-Oriented Understudy for Gisting Evaluation (ROUGE)

F1 score

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Question 79

How can companies use large language models (LLMs) securely on Amazon Bedrock?

Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.

Enable AWS Audit Manager for automatic model evaluation jobs.

Enable Amazon Bedrock automatic model evaluation jobs.

Use Amazon CloudWatch Logs to make models explainable and to monitor for bias.

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Question 80

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?

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

Reinforcement learning with rewards for positive customer feedback

Unsupervised learning to find clusters of similar customer inquiries

Supervised learning with a continuously updated FAQ database

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Total 87 questions