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Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes
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- Spark
- Linear Model, Partitioning Models
- Data Processing with RxDataStep
- DataSets
- Transform Functions
- Work Flow Analysis
- Hadoop
- Read Data with R Server
Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx
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Analyzing Big Data with Microsoft R 70-773 Dumps will include below mentioned topics with Exam focused percentage
- Build predictive models with Scale R: 20-25%
- Use R Server in different environments: 20-25%
- Process big data: 20-25%
- Read and explore big data: 20-25%
- Implement Domain Name System (DNS): 15-20%
Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Read and Explore Big Data | - Visualize data - Summarize data - Read data with R Server |
| Topic 2: Build Predictive Models with ScaleR | - Build and use partitioning models - Evaluate models and tuning parameters - Create additional models using MicrosoftML packages - Estimate linear models - Generate predictions and residuals |
| Topic 3: Process Big Data | - Perform complex transforms using transform functions - Process data with rxDataStep - Manage data sets - Process text using MicrosoftML packages |
| Topic 4: Use R Server in Different Environments | - Use different compute contexts to run R Server effectively - Deploy predictive models to SQL Server and Azure Machine Learning - Implement analysis workflows in Hadoop and Spark - Perform in-database analytics using SQL Server - Optimize tasks using local compute contexts |






