Amazon MLS-C01 Dumps [2023] Are Out - Download And Prepare

1. Pass Your Amazon MLS-C01 AWS Certified Machine Learning - Specialty • PDF + Test Engine • Test Engine • PDF Only

2. Exam Information: Exam Code: Vendor: Certification Name: Exam Name: MLS-C01 Amazon AWS Certified Machine Learning - Specialty AWS Certified Machine Learning - Specialty  268 Questions Total Questions 208Questions

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6. MLS-C01 Dumps Demo Questions: Q.1 A power company wants to forecast future energy consumption for its customers in residential properties and commercial business properties. Historical power consumption data for the last 10 years is available. A team of data scientists who performed the initial data analysis and feature selection will include the historical power consumption data and data such as weather, number of individuals on the property, and public holidays. The data scientists are using Amazon Forecast to generate the forecasts. Which algorithm in Forecast should the data scientists use to meet these requirements? A Autoregressive Integrated Moving Average (AIRMA) B Exponential Smoothing (ETS) C Convolutional Neural Network - Quantile Regression (CNN-QR) D Prophet Answer : B Download Full Exam Questions Answer

7. Q,2A machine learning specialist is developing a regression model to predict rental rates from rental listings. A variable named WallColorrepresents the most prominent exterior wall color of the property. The following is the sample data, excluding all other variables: The specialist chose a model that needs numerical input data Which feature engineering approaches should the specialist use to allow the regression model to learn from the WallColordata? (Choose two.) A Apply integer transformation and set Red = 1, White = 5, and Green = 10. B Add new columns that store one-hot representation of colors. C Replace the color name string by its length. D Create three columns to encode the color in RGB format. E Replace each color name by its training set frequency. Correct Answer: A, D Download Full Exam Questions Answer

8. 3.A data scientist is working on a public sector project for an urban traffic system. While studying the traffic patterns, it is clear to the data scientist that the traffic behavior at each light is correlated, subject to a small stochastic error term. The data scientist must model the traffic behavior to analyze the traffic patterns and reduce congestion How will the data scientist MOST effectively model the problem? A The data scientist should obtain a correlated equilibrium policy by formulating this problem as a multi-agent reinforcement learning problem. B The data scientist should obtain the optimal equilibrium policy by formulating this problem as a single-agent reinforcement learning problem. C Rather than finding an equilibrium policy, the data scientist should obtain accurate predictors of traffic flow by using historical data through a supervised learning approach. D Rather than finding an equilibrium policy, the data scientist should obtain accurate predictors of traffic flow by using unlabeled simulated data representing the new traffic patterns in the city and applying an unsupervised learning approach. Correct Answer:D Answer : C Download Full Exam Questions Answer

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