Free AIF-C01 Exam Braindumps (page: 12)

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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?

  1. Decrease the batch size.
  2. Increase the epochs.
  3. Decrease the epochs.
  4. Increase the temperature parameter.

Answer(s): B



A company is building a large language model (LLM) question answering chatbot. The company wants to decrease the number of actions call center employees need to take to respond to customer questions.
Which business objective should the company use to evaluate the effect of the LLM chatbot?

  1. Website engagement rate
  2. Average call duration
  3. Corporate social responsibility
  4. Regulatory compliance

Answer(s): B



Which functionality does Amazon SageMaker Clarify provide?

  1. Integrates a Retrieval Augmented Generation (RAG) workflow
  2. Monitors the quality of ML models in production
  3. Documents critical details about ML models
  4. Identifies potential bias during data preparation

Answer(s): D



A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly.
What should the company do to mitigate this problem?

  1. Reduce the volume of data that is used in training.
  2. Add hyperparameters to the model.
  3. Increase the volume of data that is used in training.
  4. Increase the model training time.

Answer(s): C






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