Exam Name: Analyzing Big Data with Microsoft R
Certification Provider: Microsoft
Corresponding Certification: Microsoft R Server
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Updated: Sep 02, 2026
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Microsoft 70-773 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Analyzing Big Data with Microsoft R |
| Exam Number: | 70-773 |
| Exam Format: | Multiple choice, Multiple answer, Case studies, Drag and drop |
| Exam Duration: | 150–180 |
| Related Certifications: | MCSA: Machine Learning Microsoft Certified Professional |
| Passing Score: | 700 out of 1000 |
| Available Languages: | English |
| Real Exam Qty: | 40–60 |
| Exam Price: | 165 USD |
| Certificate Validity Period: | Retired, no longer active |
| Recommended Training: | Microsoft Official Course 20773: Analyzing Big Data with Microsoft R |
| Exam Registration: | Microsoft Exam Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or at authorized Pearson VUE test centers |
| Pre Condition: | Basic knowledge of R programming, statistics, data structures, and familiarity with SQL Server, Hadoop, or big data platforms |
| Official Syllabus URL: | https://www.microsoft.com/en-us/learning/exam-70-773.aspx |
Microsoft 70-773 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Evaluate and Optimize Models | 20% | - Optimize R scripts for scale and speed - Tune model parameters - Assess model performance |
| Topic 2: Manage Data Sets | 20% | - Transform and clean data - Handle large datasets beyond memory - Read and write data using Microsoft R Server |
| Topic 3: Explore and Visualize Data | 20% | - Create visualizations using R and RevoScaleR - Perform exploratory data analysis - Summarize and aggregate data |
| Topic 4: Deploy and Operationalize R Solutions | 15% | - Integrate R with SQL Server R Services - Run R scripts in Hadoop/Spark environments - Manage scalable analytics workflows |
| Topic 5: Build Statistical and Machine Learning Models | 25% | - Process text data with RML packages - Train linear and generalized linear models - Use partitioning and parallelized models |
Microsoft 70-773 Exam Questions Answered
The 70-773 exam leads to the MCSA: Machine Learning certification from Microsoft. It is positioned at the Professional level. The exam validates the knowledge and skills expected of candidates preparing for Microsoft Analyzing Big Data with Microsoft R.
Related certifications include:
- MCSA: Machine Learning
- Microsoft Certified Professional
The 70-773 exam includes 40–60 questions and allows 150–180. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for 70-773 is 700 out of 1000, and the official exam fee is 165 USD. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
Basic knowledge of R programming, statistics, data structures, and familiarity with SQL Server, Hadoop, or big data platforms
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
You can register through the official channels listed below:
The available exam delivery method is Online proctored or at authorized Pearson VUE test centers.
The official training options include:
After reviewing the recommended training, reinforce what you learned with Actual4dump's 40 practice questions for 70-773.
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If you purchase the corresponding 70-773 preparation material and do not pass that exam within 60 days of purchase, you may apply for a full refund under the 100% Money Back Guarantee. The request requires a scanned exam enrollment slip and the official Score Report PDF, submitted within two days after the exam. Eligible requests are processed within seven days.
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The current 70-773 outline is organized into 5 top-level domains. The first listed areas include:
- Explore and Visualize Data (20%)
- Deploy and Operationalize R Solutions (15%)
- Evaluate and Optimize Models (20%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
Microsoft Analyzing Big Data with Microsoft R Sample Questions:
Question 1
You need to run a large data tree model by using rxDForest. The model must use cross validation.
Which rxDForest option should you use?
A. maxNumBins
B. maxDepth
C. maxCompete
D. xVal
E. maxSurrogate
Question 2
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You are developing a Microsoft R Open solution that will leverage the computing power of the database server for some of your datasets.
You are performing feature engineering and data preparation for the datasets.
The following is a sample of the dataset.
End of repeated scenario.
You have the following R code.
Which function determines the variable?
A. transformVars
B. createRandomSample
C. transformFunc
D. rxXdfDataFrame
Question 3
You perform an analysis that produces the decision tree shown in the exhibit. (Click the Exhibit button.)
How many leaf nodes are there on the tree?
A. 7
B. 2
C. 5
D. 3
Question 4
You are planning the compute contexts for your environment.
You need to execute rx-function calls in parallel.
What are three possible compute contexts that you can use to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Map Reduce
B. local sequential
C. local parallel
D. SQL
E. Spark
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: C | Question 4 Answer: A,C,E |
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