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Overview about MICROSOFT 70-773 Exam
- Length of Examination: 150 minutes
- Registration Fee: 165 USD
- Format: Multiple choice, multiple answer
- Number of Questions: 40-60
- Passing Score: 70-80%
Analyzing Big Data with Microsoft R 70-773 Dumps will include below mentioned topics with Exam focused percentage
- Process big data: 20-25%
- Use R Server in different environments: 20-25%
- Read and explore big data: 20-25%
- Implement Domain Name System (DNS): 15-20%
- Build predictive models with Scale R: 20-25%
Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx
Difficulty in writing MICROSOFT 70-773 Exam
It is one of the toughest exam and it requires you a lot of hands-on experience. It is advisable to have prior knowledge of Big Data technologies on Microsoft. The more experience you have, the more it is beneficial for you, Major challenging things which you can find in exam is about different scenario based questions, you must have strong understanding of Big Data.
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Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes
It-Tests expert team recommend you to prepare some notes on these topics along with it don't forget to practice Analyzing Big Data with Microsoft R 70-773 Dumps which been written by our expert team, Both these will help you a lot to clear this exam with good marks.
- Transform Functions
- Linear Model, Partitioning Models
- Hadoop
- Work Flow Analysis
- Data Processing with RxDataStep
- Spark
- DataSets
- Read Data with R Server
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Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Use R Server in Different Environments | - Perform in-database analytics using SQL Server - Deploy predictive models to SQL Server and Azure Machine Learning - Optimize tasks using local compute contexts - Use different compute contexts to run R Server effectively - Implement analysis workflows in Hadoop and Spark |
| Topic 2: Build Predictive Models with ScaleR | - Estimate linear models - Build and use partitioning models - Generate predictions and residuals - Create additional models using MicrosoftML packages - Evaluate models and tuning parameters |
| Topic 3: Read and Explore Big Data | - Summarize data - Visualize data - Read data with R Server |
| Topic 4: Process Big Data | - Process data with rxDataStep - Process text using MicrosoftML packages - Manage data sets - Perform complex transforms using transform functions |
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