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- Data Processing with RxDataStep
- Linear Model, Partitioning Models
- Hadoop
- Spark
- Transform Functions
- Read Data with R Server
- Work Flow Analysis
- DataSets
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Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx
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Overview about MICROSOFT 70-773 Exam
- Number of Questions: 40-60
- Length of Examination: 150 minutes
- Format: Multiple choice, multiple answer
- Passing Score: 70-80%
- Registration Fee: 165 USD
Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Process Big Data | - Manage data sets - Perform complex transforms using transform functions - Process data with rxDataStep - Process text using MicrosoftML packages |
| Topic 2: Read and Explore Big Data | - Summarize data - Read data with R Server - Visualize data |
| Topic 3: Build Predictive Models with ScaleR | - Evaluate models and tuning parameters - Create additional models using MicrosoftML packages - Estimate linear models - Generate predictions and residuals - Build and use partitioning models |
| Topic 4: Use R Server in Different Environments | - Deploy predictive models to SQL Server and Azure Machine Learning - Implement analysis workflows in Hadoop and Spark - Use different compute contexts to run R Server effectively - Optimize tasks using local compute contexts - Perform in-database analytics using SQL Server |
