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Leadership in the IT field starts with proof of skill, and the Microsoft Analyzing Big Data with Microsoft R exam is that proof. In 2026, ActualVCE prepares 070-773 candidates with 40 practice questions edited by experts who know the real test firsthand.
Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Perform data analysis with R | - Apply statistical methods in R - Work with large datasets - Descriptive statistics and exploratory data analysis |
| Visualize and communicate results | - Reporting and dashboards - Data visualization with R packages (ggplot2, etc.) |
| Build and evaluate predictive models | - Feature engineering in R - Regression and classification models - Model training and validation |
| Prepare and clean data for analysis | - Clean and preprocess datasets - Handle missing and inconsistent data - Import and transform data using R |
| Integrate R with Microsoft data platforms | - Use R with SQL Server - Use R in Azure Machine Learning environments |
070-773 Exam: The FAQ Candidates Actually Need
Microsoft Analyzing Big Data with Microsoft R is an official Microsoft certification exam, listed under the code 070-773. Passing it earns you the MCSA: SQL 2016 BI Development (legacy) / Data Analytics specialization certification, positioned at the Professional level. It also connects to MCSA: SQL 2016 BI Development, Microsoft Certified: Data Analyst Associate (related modern replacement concepts). For anyone aiming at a leadership track in IT, this credential is one of the clearest markers of verified skill.
Passing Microsoft Analyzing Big Data with Microsoft R takes 700 (on Microsoft 1000-scale system), and the official registration fee is $165 USD (varies by country). Retakes charge the full $165 USD (varies by country) again, which is why accuracy in preparation matters more than volume. Validate your readiness with repeated ActualVCE practice scores above the requirement before committing to a date.
The Microsoft Analyzing Big Data with Microsoft R exam contains 40-60 questions to answer within 120-150. The SOFT engine from ActualVCE imitates the real test scene on your computer and uses special methods to help you master questions and answers, so the official time limit becomes a practiced routine rather than a surprise.
Basic knowledge of statistics, data analysis, and R programming is recommended.
Vendor requirements are revised periodically, so confirm the current conditions before registering.
Sign-up for Microsoft Analyzing Big Data with Microsoft R goes through the official channels below.
One planning note: the exam is delivered Computer-based exam at testing center or online proctored delivery (depending on provider availability during exam period).
Microsoft recommends the following training for Microsoft Analyzing Big Data with Microsoft R candidates.
Reinforce whichever training you pick with the 40 practice questions in the ActualVCE 070-773 package, edited by experts who follow real test changes firsthand.
Three versions share the same verified content: the PDF prints unlimited copies for paper study, the SOFT engine imitates the real test scene on Windows PCs, and the APP version runs on all electronic products, which is why the majority of examinees choose it. A free demo lets you try before deciding, and after purchase updates are free for 365 days, extendable afterward at a 50% discount.
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Microsoft Analyzing Big Data with Microsoft R is structured into 5 official domains. The leading ones are Integrate R with Microsoft data platforms, Build and evaluate predictive models, and Perform data analysis with R. The full topic breakdown appears above; accurate preparation starts with an accurate map.
Microsoft Analyzing Big Data with Microsoft R Sample Questions:
DRAG DROP
You are using rxPredict for a logistic regression model.
You need to obtain prediction standard errors and confidence intervals.
Which R code segment should you use? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Correct Answer:

Explanation:
References: https://docs.microsoft.com/en-us/machine-learning-server/r/how-to-revoscaler-logistic-regression
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 build a model that uses xyz regression.
You need to estimate a model that predicts a binary variable.
Which function should you use?
- A. rxTweedie
- B. rxPredict
- C. summary
- D. rxDataStep
- E. rxLinMod
- F. rxTransform
- G. stepAic
- H. rxLogit
Correct Answer: H 🗳️
Explanation: Only visible for ActualVCE 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 estimate a model where the outcome variable is continuous, is in the range of
[0, inf], and has a substantial mass at an exact value of 0.
Which function should you use?
- A. rxTweedie
- B. rxPredict
- C. summary
- D. rxDataStep
- E. rxLinMod
- F. rxTransform
- G. stepAic
- H. rxLogit
Correct Answer: G 🗳️
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 calculate a measure of central tendency and variability for the variables in a dataset that is grouped by using another categorical variable.
What should you use?
- A. the rxCube function
- B. the ggplot2 package
- C. the rxQuantile function
- D. the Describe package
- E. the rxCrossTabs function
- F. the rxSummary function
- G. the rxHistogram function
- H. the summary function
Correct Answer: F 🗳️
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