Microsoft Analyzing Big Data with Microsoft R : 070-773

070-773 real exams

Exam Code: 070-773

Exam Name: Analyzing Big Data with Microsoft R

Updated: Sep 16, 2026

Q & A: 40 Questions and Answers

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About Microsoft 070-773 Exam

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Analyzing Big Data with Microsoft R 70-773 Dumps will include below mentioned topics with Exam focused percentage

  • Read and explore big data: 20-25%
  • Use R Server in different environments: 20-25%
  • Process big data: 20-25%
  • Implement Domain Name System (DNS): 15-20%
  • Build predictive models with Scale R: 20-25%

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Overview about MICROSOFT 70-773 Exam

  • Format: Multiple choice, multiple answer
  • Length of Examination: 150 minutes
  • Number of Questions: 40-60
  • Registration Fee: 165 USD
  • Passing Score: 70-80%

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Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes

Prep4pass 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
  • Read Data with R Server
  • Data Processing with RxDataStep
  • Work Flow Analysis
  • Hadoop
  • Spark
  • DataSets

Reference: https://www.microsoft.com/en-us/learning/exam-70-773.aspx

Steps for MICROSOFT 70-773 Certifications Exam booking

  • Select Date and Center of examination and confirm with payment value of 165$
  • Signup/Login to MICROSOFT account
  • Search for MICROSOFT 70-773 Certifications Exam
  • Visit to Microsoft Exam Registration

Microsoft 070-773 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy and Operationalize R Solutions15%- Integrate R with SQL Server R Services
- Run R scripts in Hadoop/Spark environments
- Manage scalable analytics workflows
Topic 2: Build Statistical and Machine Learning Models25%- Use partitioning and parallelized models
- Train linear and generalized linear models
- Process text data with RML packages
Topic 3: Evaluate and Optimize Models20%- Tune model parameters
- Optimize R scripts for scale and speed
- Assess model performance
Topic 4: Manage Data Sets20%- Read and write data using Microsoft R Server
- Transform and clean data
- Handle large datasets beyond memory
Topic 5: Explore and Visualize Data20%- Perform exploratory data analysis
- Create visualizations using R and RevoScaleR
- Summarize and aggregate data

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