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MICROSOFT 70-773 Exam Reference, Microsoft Documents
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Candidates should have experience with R, familiarity with data structures, familiarity with basic programming concepts (such as control flow and scope), and familiarity with writing and debugging R functions. Candidates should be familiar with common statistical methods and data analysis best practices. Candidates should also have a high-level understanding of data platforms, such as the Hadoop ecosystem, SQL Server, and core T-SQL capabilities. We think our Analyzing Big Data with Microsoft R 70-773 Exam Practice Test Paper and Dumps will provide you 100% confidence to make you appear for Microsoft 70-773 Exam
This is the list of the contents in our Analyzing Big Data with Microsoft R 70-773 Practice Test:
- Data Processing with RxDataStep.
- Data reading with R Server.
- Hadoop Ecosystem and Spark.
- Compute concepts to Run R Server.
- Models with ScaleR.
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Microsoft 070-773 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Build Statistical and Machine Learning Models | 25% | - Process text data with RML packages - Train linear and generalized linear models - Use partitioning and parallelized models |
| Manage Data Sets | 20% | - Transform and clean data - Handle large datasets beyond memory - Read and write data using Microsoft R Server |
| Deploy and Operationalize R Solutions | 15% | - Manage scalable analytics workflows - Integrate R with SQL Server R Services - Run R scripts in Hadoop/Spark environments |
| Explore and Visualize Data | 20% | - Create visualizations using R and RevoScaleR - Summarize and aggregate data - Perform exploratory data analysis |
| Evaluate and Optimize Models | 20% | - Tune model parameters - Assess model performance - Optimize R scripts for scale and speed |
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