QUESTION: 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?

Code for model training
Partial dependence plots (PDPs)
Sample data for training
Model convergence tables

Answer(s): B

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QUESTION: 2

A law rm 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.
Develop a multi-language translation system.

Answer(s): C

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QUESTION: 3

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
Linear regression
Logistic regression
Neural networks

Answer(s): A

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QUESTION: 4

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

R-squared score
Accuracy
Root mean squared error (RMSE)
Learning rate

Answer(s): B

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