Free Amazon AIF-C01 Exam Questions (page: 12)

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?

  1. Evaluate the models by using built-in prompt datasets.
  2. Evaluate the models by using a human workforce and custom prompt datasets.
  3. Use public model leaderboards to identify the model.
  4. Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.

Answer(s): B

Explanation:

Evaluating models using a human workforce and custom prompt datasets ensures that the model generates responses in the style that aligns with the company's preferences. The other options either do not provide direct feedback on style preferences or are not specific enough for determining suitability based on employee preferences.



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

Which challenge of responsible generative AI does this scenario represent?

  1. Toxicity
  2. Hallucinations
  3. Plagiarism
  4. Privacy

Answer(s): C

Explanation:

Copying content from generative AI to write essays without proper attribution constitutes plagiarism, which is a key challenge of responsible generative AI. The other options are unrelated to this specific issue.



A company needs to build its own large language model (LLM) based on only the company's private data. The company is concerned about the environmental effect of the training process.

Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?

  1. Amazon EC2 C series
  2. Amazon EC2 G series
  3. Amazon EC2 P series
  4. Amazon EC2 Trn series

Answer(s): D

Explanation:

Amazon EC2 Trn series instances (powered by AWS Trainium chips) are designed to provide efficient and environmentally friendly training of large machine learning models. They are optimized for energy efficiency, which reduces the environmental impact of the training process. The other instance types are not specifically optimized for minimizing environmental effects during training.



A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children.

Which AWS service or feature will meet these requirements?

  1. Amazon Rekognition
  2. Amazon Bedrock playgrounds
  3. Guardrails for Amazon Bedrock
  4. Agents for Amazon Bedrock

Answer(s): C

Explanation:

Guardrails for Amazon Bedrock can help ensure that the output generated by Amazon Bedrock is appropriate for children. Guardrails are used to apply content moderation, guidelines, and ensure safety by filtering potentially harmful or inappropriate content, which is essential when building an interactive application for children.



A company is building an application that needs to generate synthetic data that is based on existing data.

Which type of model can the company use to meet this requirement?

  1. Generative adversarial network (GAN)
  2. XGBoost
  3. Residual neural network
  4. WaveNet

Answer(s): A



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