PERFECT AMAZON TEST AI1-C01 QUIZ - AI1-C01 FREE DOWNLOAD

Perfect Amazon Test AI1-C01 Quiz - AI1-C01 Free Download

Perfect Amazon Test AI1-C01 Quiz - AI1-C01 Free Download

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Tags: Test AI1-C01 Quiz, Valid AI1-C01 Exam Pattern, New AI1-C01 Test Answers, Real AI1-C01 Exams, AI1-C01 Premium Exam

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q70-Q75):

NEW QUESTION # 70
A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images.
Which solution will meet these requirements?

  • A. Implement moderation APIs.
  • B. Automate user feedback integration.
  • C. Perform model validation.
  • D. Retrain the model with a general public dataset.

Answer: A


NEW QUESTION # 71
A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.
Which capabilities can the company show compliance for? (Select TWO.)

  • A. Threat detection
  • B. Cost optimization
  • C. Loosely coupled microservices
  • D. Auto scaling inference endpoints
  • E. Data protection

Answer: A,E

Explanation:
Let me know if you'd like to continue with any more questions or if you need further assistance!


NEW QUESTION # 72
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. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
  • B. Purchase Provisioned Throughput for Amazon Bedrock.
  • C. Provide labeled data with the prompt field and the completion field.
  • D. Train the model on journals and textbooks.

Answer: C


NEW QUESTION # 73
A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level.
Which solution will meet these requirements?

  • A. Increase the temperature parameter.
  • B. Decrease the batch size.
  • C. Decrease the epochs.
  • D. Increase the epochs.

Answer: D


NEW QUESTION # 74
A research company implemented a chatbot by using a foundation model (FM) from Amazon Bedrock. The chatbot searches for answers to questions from a large database of research papers.
After multiple prompt engineering attempts, the company notices that the FM is performing poorly because of the complex scientific terms in the research papers.
How can the company improve the performance of the chatbot?

  • A. Change the FM inference parameters.
  • B. Use few-shot prompting to define how the FM can answer the questions.
  • C. Clean the research paper data to remove complex scientific terms.
  • D. Use domain adaptation fine-tuning to adapt the FM to complex scientific terms.

Answer: D


NEW QUESTION # 75
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