PDF AI1-C01 DUMPS - AI1-C01 TEST CENTRES

Pdf AI1-C01 Dumps - AI1-C01 Test Centres

Pdf AI1-C01 Dumps - AI1-C01 Test Centres

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q15-Q20):

NEW QUESTION # 15
A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources.
Which AI learning strategy provides this self-improvement capability?

  • A. Supervised learning with a manually curated dataset of good responses and bad responses
  • B. Reinforcement learning with rewards for positive customer feedback
  • C. Supervised learning with a continuously updated FAQ database
  • D. Unsupervised learning to find clusters of similar customer inquiries

Answer: B


NEW QUESTION # 16
A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group.
Which type of bias is affecting the model output?

  • A. Measurement bias
  • B. Observer bias
  • C. Sampling bias
  • D. Confirmation bias

Answer: C


NEW QUESTION # 17
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?

  • A. Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
  • B. Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.
  • C. Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
  • D. Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.

Answer: D


NEW QUESTION # 18
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?

  • A. Mask the confidential data in the inference responses by using dynamic data masking.
  • B. Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
  • C. Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).
  • D. Encrypt the confidential data in the inference responses by using Amazon SageMaker.

Answer: B


NEW QUESTION # 19
A company wants to classify human genes into 20 categories based on gene characteristics.
The company needs an ML algorithm to document how the inner mechanism of the model affects the output.
Which ML algorithm meets these requirements?

  • A. Logistic regression
  • B. Neural networks
  • C. Linear regression
  • D. Decision trees

Answer: D


NEW QUESTION # 20
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