AWS Certified AI Practitioner AIF-C01
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?
Code for model training
Partial dependence plots (PDPs) Most Voted
Sample data for training
Model convergence tables
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?
Build an automatic named entity recognition system.
Create a recommendation engine.
Develop a summarization chatbot. Most Voted
Develop a multi-language translation system.
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?
Decision trees Most Voted
Linear regression
Logistic regression
Neural networks
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?
R-squared score
Accuracy Most Voted
Root mean squared error (RMSE)
Learning rate
A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM
outputs to be short and written in a specific language.
Which solution will align the LLM response quality with the company's expectations?
Adjust the prompt. Most Voted
Choose an LLM of a different size.
Increase the temperature.
Increase the Top K value.
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