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Amazon AWS Certified AI Practitioner AIF-C01 Exam Practice Questions

The questions for AWS Certified AI Practitioner AIF-C01 were last updated on Nov. 7, 2024.
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  • Viewing questions 1-4 out of 85 questions
 

Topic 1 - Exam A

Question #1 Topic 1

A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?

  • A. Code for model training
  • B. Partial dependence plots (PDPs)
  • C. Sample data for training
  • D. Model convergence tables
Reveal Solution Hide Solution   Discussion   3

Correct Answer: B 🗳️

Question #2 Topic 1

A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.
Which solution meets these requirements?

  • A. Build an automatic named entity recognition system.
  • B. Create a recommendation engine.
  • C. Develop a summarization chatbot.
  • D. Develop a multi-language translation system.
Reveal Solution Hide Solution   Discussion   3

Correct Answer: C 🗳️

Question #3 Topic 1

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. Decision trees
  • B. Linear regression
  • C. Logistic regression
  • D. Neural networks
Reveal Solution Hide Solution   Discussion   2

Correct Answer: A 🗳️

Question #4 Topic 1

A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?

  • A. R-squared score
  • B. Accuracy
  • C. Root mean squared error (RMSE)
  • D. Learning rate
Reveal Solution Hide Solution   Discussion   2

Correct Answer: B 🗳️

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