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Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx
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| Section | Weight | Objectives |
|---|---|---|
| Evaluate and Optimize Models | 20% | - Assess model performance - Optimize R scripts for scale and speed - Tune model parameters |
| Build Statistical and Machine Learning Models | 25% | - Process text data with RML packages - Use partitioning and parallelized models - Train linear and generalized linear models |
| Manage Data Sets | 20% | - Transform and clean data - Read and write data using Microsoft R Server - Handle large datasets beyond memory |
| Deploy and Operationalize R Solutions | 15% | - Run R scripts in Hadoop/Spark environments - Manage scalable analytics workflows - Integrate R with SQL Server R Services |
| Explore and Visualize Data | 20% | - Perform exploratory data analysis - Create visualizations using R and RevoScaleR - Summarize and aggregate data |
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