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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%
- Read and explore big data: 20-25%
- Implement Domain Name System (DNS): 15-20%
- Process big data: 20-25%
Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx
Analyzing Big Data with Microsoft R 70-773 Exam
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.
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:
- Compute concepts to Run R Server.
- Data Processing with RxDataStep.
- Data reading with R Server.
- Hadoop Ecosystem and Spark.
- Models with ScaleR.
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Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Read and Explore Big Data | - Summarize data - Read data with R Server - Visualize data |
| Process Big Data | - Process text using MicrosoftML packages - Perform complex transforms using transform functions - Process data with rxDataStep - Manage data sets |
| Use R Server in Different Environments | - Deploy predictive models to SQL Server and Azure Machine Learning - Implement analysis workflows in Hadoop and Spark - Optimize tasks using local compute contexts - Use different compute contexts to run R Server effectively - Perform in-database analytics using SQL Server |
| Build Predictive Models with ScaleR | - Build and use partitioning models - Evaluate models and tuning parameters - Estimate linear models - Create additional models using MicrosoftML packages - Generate predictions and residuals |
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