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Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx
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Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Build Predictive Models with ScaleR | - Create additional models using MicrosoftML packages - Estimate linear models - Generate predictions and residuals - Evaluate models and tuning parameters - Build and use partitioning models |
| Process Big Data | - Process text using MicrosoftML packages - Process data with rxDataStep - Perform complex transforms using transform functions - Manage data sets |
| Use R Server in Different Environments | - Implement analysis workflows in Hadoop and Spark - Perform in-database analytics using SQL Server - Optimize tasks using local compute contexts - Use different compute contexts to run R Server effectively - Deploy predictive models to SQL Server and Azure Machine Learning |
| Read and Explore Big Data | - Visualize data - Read data with R Server - Summarize data |






