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Analyzing Big Data with Microsoft R 70-773 Exam been designed in order to test expertise and technical knowledge in designing and implementing Microsoft services in order to obtain value from the available data set. It examines the candidate's ability to execute Microsoft Big Data Services according to architecture practices. The Analyzing Big Data with Microsoft R 70-773 Exam is high level exam and it requires in-depth knowledge of data analytics concepts, before you go ahead and write this certification you must require some prerequisites Candidates for this exam are data scientists or analysts who process and analyze data sets larger than memory using R.
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Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx
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| Section | Objectives |
|---|---|
| Build Predictive Models with ScaleR | - Build and use partitioning models - Create additional models using MicrosoftML packages - Estimate linear models - Evaluate models and tuning parameters - Generate predictions and residuals |
| Read and Explore Big Data | - Summarize data - Visualize data - Read data with R Server |
| Process Big Data | - Perform complex transforms using transform functions - Process text using MicrosoftML packages - Process data with rxDataStep - Manage data sets |
| Use R Server in Different Environments | - Optimize tasks using local compute contexts - Perform in-database analytics using SQL Server - Deploy predictive models to SQL Server and Azure Machine Learning - Use different compute contexts to run R Server effectively - Implement analysis workflows in Hadoop and Spark |
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