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Amazon AIF-C01 Practice Test - Questions Answers

List of questions

Question 1

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A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt.

Which consideration will inform the company's decision?

Temperature
Temperature
Context window
Context window
Batch size
Batch size
Model size
Model size
Suggested answer: B
asked 16/09/2024
Keenan Bragg
41 questions

Question 2

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An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance.

Which metric will help the AI practitioner evaluate the performance of the model?

Confusion matrix
Confusion matrix
Correlation matrix
Correlation matrix
R2 score
R2 score
Mean squared error (MSE)
Mean squared error (MSE)
Suggested answer: A
asked 16/09/2024
Zulkarnain Hashim
39 questions

Question 3

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An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.

Which technique will solve the problem?

Data augmentation for imbalanced classes
Data augmentation for imbalanced classes
Model monitoring for class distribution
Model monitoring for class distribution
Retrieval Augmented Generation (RAG)
Retrieval Augmented Generation (RAG)
Watermark detection for images
Watermark detection for images
Suggested answer: A
asked 16/09/2024
Christophe RUIZ
36 questions

Question 4

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An e-commerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.

Which AWS services meet these requirements? (Select TWO.)

Amazon Lex
Amazon Lex
Amazon Comprehend
Amazon Comprehend
Amazon Polly
Amazon Polly
Amazon Bedrock
Amazon Bedrock
Amazon Rekognition
Amazon Rekognition
Suggested answer: B, D
asked 16/09/2024
Gilbert Ciepluch
48 questions

Question 5

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A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.

Which solution meets these requirements?

Optimize the model's architecture and hyperparameters to improve the model's overall performance.
Optimize the model's architecture and hyperparameters to improve the model's overall performance.
Increase the model's complexity by adding more layers to the model's architecture.
Increase the model's complexity by adding more layers to the model's architecture.
Create effective prompts that provide clear instructions and context to guide the model's generation.
Create effective prompts that provide clear instructions and context to guide the model's generation.
Select a large, diverse dataset to pre-train a new generative model.
Select a large, diverse dataset to pre-train a new generative model.
Suggested answer: C
asked 16/09/2024
Pedro Pereira
36 questions

Question 6

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A student at a university is copying content from generative AI to write essays.

Which challenge of responsible generative AI does this scenario represent?

Toxicity
Toxicity
Hallucinations
Hallucinations
Plagiarism
Plagiarism
Privacy
Privacy
Suggested answer: C
asked 16/09/2024
Chien Fang
40 questions

Question 7

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A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately.

Which Amazon SageMaker inference option will meet these requirements?

Batch transform
Batch transform
Real-time inference
Real-time inference
Serverless inference
Serverless inference
Asynchronous inference
Asynchronous inference
Suggested answer: A

Explanation:


asked 16/09/2024
ben ebrahimi
39 questions

Question 8

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A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.

What should the company do to meet these requirements?

Evaluate the models by using built-in prompt datasets.
Evaluate the models by using built-in prompt datasets.
Evaluate the models by using a human workforce and custom prompt datasets.
Evaluate the models by using a human workforce and custom prompt datasets.
Use public model leaderboards to identify the model.
Use public model leaderboards to identify the model.
Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.
Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.
Suggested answer: B
asked 16/09/2024
Ellee Chen
40 questions

Question 9

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A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based on the matrix.

Which solution scope gives the company the MOST ownership of security responsibilities?

Using a third-party enterprise application that has embedded generative AI features.
Using a third-party enterprise application that has embedded generative AI features.
Building an application by using an existing third-party generative AI foundation model (FM).
Building an application by using an existing third-party generative AI foundation model (FM).
Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
Building and training a generative AI model from scratch by using specific data that a customer owns.
Building and training a generative AI model from scratch by using specific data that a customer owns.
Suggested answer: D
asked 16/09/2024
Tebogo Maphafo
36 questions

Question 10

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An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.

How should the AI practitioner prevent responses based on confidential data?

Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
Mask the confidential data in the inference responses by using dynamic data masking.
Mask the confidential data in the inference responses by using dynamic data masking.
Encrypt the confidential data in the inference responses by using Amazon SageMaker.
Encrypt the confidential data in the inference responses by using Amazon SageMaker.
Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).
Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).
Suggested answer: A
asked 16/09/2024
Martin White
35 questions
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Related questions

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt. Which consideration will inform the company's decision?
A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data. Which strategy will successfully fine-tune the model?
A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information. Which action will reduce these risks?
A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements. Which solution meets these requirements?
An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance. Which metric will help the AI practitioner evaluate the performance of the model?
A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer. What should the company do to meet these requirements?
A student at a university is copying content from generative AI to write essays. Which challenge of responsible generative AI does this scenario represent?
A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's private data sources. Which solution will meet this requirement?
A company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment. Which Amazon Bedrock pricing model meets these requirements?
An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model. Which technique will solve the problem?