Free AWS-CERTIFIED-AI-PRACTITIONER-AIF-C01 Amazon AWS-CERTIFIED-AI-PRACTITIONER-AIF-C01 Practice Test Question

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Showing 40–42 of 45 questions

Question 40 (Topic 1)

Which term is the speed at which a pre-trained foundation model (FM) processes requests and delivers output?

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  • Model size
  • Inference latency
  • Context window
  • Fine-tuning
Question 41 (Topic 1)

A company uses foundation models (FMs) to automate daily tasks. An AI practitioner at the company is creating system instructions that include context that is relevant to the tasks. The AI practitioner wants to save and reuse the instructions in daily interactions with FMs in Amazon Bedrock. Which Amazon Bedrock solution will meet these requirements?

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  • Knowledge Bases
  • Guardrails
  • Playgrounds
  • Prompt management
Question 42 (Topic 1)

A company is preparing data to fine-tune a large language model (LLM). The company must follow the principles of responsible AI. Which actions will meet this requirement? (Choose two.)

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  • Include demographically diverse data sources to improve model fairness.
  • Apply consistent labeling standards across the training dataset.
  • Focus exclusively on high-volume data regardless of quality.
  • Use only synthetic data to train the model.
  • Use fewer labels to reduce ambiguity in data during model training.