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Free AIF-C01 Exam Braindumps (page: 13)

Page 12 of 37
PDF with 143 Questions

An ecommerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.
Which AWS services meet these requirements? (Choose two.)

  1. Amazon Lex
  2. Amazon Comprehend
  3. Amazon Polly
  4. Amazon Bedrock
  5. Amazon Rekognition

Answer(s): B,D



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?

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

Answer(s): D



A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals.
Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?

  1. User-generated content
  2. Moderation logs
  3. Content moderation guidelines
  4. Benchmark datasets

Answer(s): D



A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.
Which solution meets these requirements?

  1. Optimize the model's architecture and hyperparameters to improve the model's overall performance.
  2. Increase the model's complexity by adding more layers to the model's architecture.
  3. Create effective prompts that provide clear instructions and context to guide the model's generation.
  4. Select a large, diverse dataset to pre-train a new generative model.

Answer(s): C






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