Exam Name: Analyzing Big Data with Microsoft R
Certification Provider: Microsoft
Corresponding Certification: Microsoft R Server
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Updated: Sep 19, 2026
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- Total Questions: 40
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Microsoft 070-773 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Analyzing Big Data with Microsoft R |
| Exam Number: | 70-773 |
| Exam Duration: | 120-150 |
| Certificate Validity Period: | Retired (no longer offered) |
| Related Certifications: | Microsoft Certified: Data Analyst Associate (related modern replacement concepts) MCSA: SQL 2016 BI Development |
| Exam Format: | Multiple choice, Scenario-based questions, Case study, Lab-based tasks |
| Passing Score: | 700 (on Microsoft 1000-scale system) |
| Real Exam Qty: | 40-60 |
| Available Languages: | English |
| Exam Price: | $165 USD (varies by country) |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Computer-based exam at testing center or online proctored delivery (depending on provider availability during exam period) |
| Pre Condition: | Basic knowledge of statistics, data analysis, and R programming is recommended. |
Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Integrate R with Microsoft data platforms | - Use R in Azure Machine Learning environments - Use R with SQL Server |
| Topic 2: Perform data analysis with R | - Descriptive statistics and exploratory data analysis - Work with large datasets - Apply statistical methods in R |
| Topic 3: Prepare and clean data for analysis | - Handle missing and inconsistent data - Clean and preprocess datasets - Import and transform data using R |
| Topic 4: Visualize and communicate results | - Reporting and dashboards - Data visualization with R packages (ggplot2, etc.) |
| Topic 5: Build and evaluate predictive models | - Regression and classification models - Feature engineering in R - Model training and validation |
070-773 Exam FAQ: Honest Answers Only
Three versions of the same study materials, each with its own character: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 40 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
Basic knowledge of statistics, data analysis, and R programming is recommended. Since requirements change over time, confirm the latest on the official Microsoft exam page before scheduling.
The official Microsoft Analyzing Big Data with Microsoft R outline defines 5 domains. The leading three are Visualize and communicate results, Perform data analysis with R, and Integrate R with Microsoft data platforms. The full list is in the topics section above, and Prep4away's 40 practice questions cover each one.
Microsoft recommends these training resources for the Microsoft Analyzing Big Data with Microsoft R exam:
Follow the training with steady self-testing — the 40 practice questions from Prep4away help you apply theory and fill any gaps the training leaves.
The 070-773 exam is a Microsoft certification exam validating the Microsoft Analyzing Big Data with Microsoft R syllabus shown above. It belongs to these credential paths: MCSA: SQL 2016 BI Development, Microsoft Certified: Data Analyst Associate (related modern replacement concepts). Candidates in 2026 prepare for it with Prep4away's 40 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
The Microsoft Analyzing Big Data with Microsoft R exam requires 700 (on Microsoft 1000-scale system) to pass, and registration costs $165 USD (varies by country). A failed attempt means paying the same fee again — a readiness check with the Prep4away engines before booking is the cheaper option.
Prep4away issues a full refund if you take the Microsoft Analyzing Big Data with Microsoft R exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
Computer-based exam at testing center or online proctored delivery (depending on provider availability during exam period) Register for the Microsoft Analyzing Big Data with Microsoft R exam through these official channels:
After booking, Prep4away delivers your practice questions within 1 minute — preparation starts the same day.
The Microsoft Analyzing Big Data with Microsoft R exam contains 40-60 to complete within 120-150. Timed simulation in the Prep4away Desktop Test Engine teaches that rhythm before exam day does.
Microsoft Analyzing Big Data with Microsoft R Sample Questions:
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. transformFunc
- C. rxXdfDataFrame
- D. createRandomSample
Correct Answer: A 🗳️
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You use dplyrXdf, and you discover that after you exit the session, the output files that were created were deleted.
You need to prevent the files from being deleted.
Solution: You use dplyrXdf with the persist verb.
Does this meet the goal?
- A. Yes
- B. No
Correct Answer: A 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You need to get all of the deciles for a variable in a data frame.
What should you use?
- A. the rxHistogram function
- B. the rxCube function
- C. the ggplot2 package
- D. the summary function
- E. the rxCrossTabs function
- F. the rxQuantile function
- G. the Describe package
- H. the rxSummary function
Correct Answer: F 🗳️
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. 3
- B. 7
- C. 2
- D. 5
Correct Answer: D 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
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