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Exam AWS Certified AI Practitioner AIF-C01 All Questions

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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 19 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 19
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

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. Provide labeled data with the prompt field and the completion field.
  • B. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
  • C. Purchase Provisioned Throughput for Amazon Bedrock.
  • D. Train the model on journals and textbooks.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by jove at Nov. 5, 2024, 6:55 p.m.
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aldricstormcloak
2 days, 7 hours ago
Why is it not C? Finetuning cannot be done without provisioned throughput mode active.
upvoted 1 times
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Udyan
1 week, 4 days ago
Fine Tuning is Done with Labeled Data so, A
upvoted 1 times
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jove
2 weeks, 2 days ago
Selected Answer: A
Labeled Data: Fine-tuning requires labeled data
upvoted 2 times
...

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C (25%)
B (20%)
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