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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q36-Q41):

NEW QUESTION # 36
Which metric measures the runtime efficiency of operating AI models?

  • A. Number of training instances
  • B. Customer satisfaction score (CSAT)
  • C. Training time for each epoch
  • D. Average response time

Answer: D


NEW QUESTION # 37
A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket.
The data is encrypted with Amazon S3 managed keys (SSE-S3).
The FM encounters a failure when attempting to access the S3 bucket data.
Which solution will meet these requirements?

  • A. Use prompt engineering techniques to tell the model to look for information in Amazon S3.
  • B. Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.
  • C. Set the access permissions for the S3 buckets to allow public access to enable access over the internet.
  • D. Ensure that the S3 data does not contain sensitive information.

Answer: B


NEW QUESTION # 38
What are tokens in the context of generative AI models?

  • A. Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.
  • B. Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.
  • C. Tokens are the specific prompts or instructions given to a generative AI model to generate output.
  • D. Tokens are the mathematical representations of words or concepts used in generative AI models.

Answer: A


NEW QUESTION # 39
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. Toxicity
  • B. Hallucinations
  • C. Privacy
  • D. Plagiarism

Answer: D


NEW QUESTION # 40
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. Purchase Provisioned Throughput for Amazon Bedrock.
  • B. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
  • C. Train the model on journals and textbooks.
  • D. Provide labeled data with the prompt field and the completion field.

Answer: D


NEW QUESTION # 41
......

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