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Microsoft 070-773 - Analyzing Big Data with Microsoft R

Updated: Sep 19, 2026

Q & A: 40 Questions and Answers

070-773 Braindumps VCE
  • Exam Code: 070-773
  • Exam Name: Analyzing Big Data with Microsoft R

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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 Format:Lab-based tasks, Case study, Scenario-based questions, Multiple choice
Exam Duration:120-150
Exam Price:$165 USD (varies by country)
Related Certifications:Microsoft Certified: Data Analyst Associate (related modern replacement concepts)
MCSA: SQL 2016 BI Development
Real Exam Qty:40-60
Passing Score:700 (on Microsoft 1000-scale system)
Certificate Validity Period:Retired (no longer offered)
Available Languages:English
Sample Questions:Free Download real 070-773 braindumps VCE
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:

SectionObjectives
Topic 1: Integrate R with Microsoft data platforms- Use R in Azure Machine Learning environments
- Use R with SQL Server
Topic 2: Prepare and clean data for analysis- Import and transform data using R
- Handle missing and inconsistent data
- Clean and preprocess datasets
Topic 3: Perform data analysis with R- Work with large datasets
- Descriptive statistics and exploratory data analysis
- Apply statistical methods in R
Topic 4: Build and evaluate predictive models- Regression and classification models
- Feature engineering in R
- Model training and validation
Topic 5: Visualize and communicate results- Data visualization with R packages (ggplot2, etc.)
- Reporting and dashboards

070-773 Exam — Questions Candidates Actually Ask

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Through the vendor's official registration channels:

The exam runs Computer-based exam at testing center or online proctored delivery (depending on provider availability during exam period), so pick the setup that suits you when booking.

The Microsoft Analyzing Big Data with Microsoft R is the official Microsoft exam behind the MCSA: SQL 2016 BI Development (legacy) / Data Analytics specialization certification at the Professional level. It's how the vendor verifies that your skills meet its standard — and how employers know they do. Related credentials include MCSA: SQL 2016 BI Development, Microsoft Certified: Data Analyst Associate (related modern replacement concepts), useful context if you're mapping a longer certification path.

40-60 questions, 120-150 on the clock. That ratio is the real exam-within-the-exam: budget your time per question, learn to flag and move on, and rehearse in the BraindumpsVCE engine under real timing until finishing comfortably becomes your default.

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The Microsoft Analyzing Big Data with Microsoft R blueprint divides into 5 domains, with Visualize and communicate results, Integrate R with Microsoft data platforms, Perform data analysis with R among the headline areas. Let the weightings steer your hours — they tell you where the questions concentrate. The full outline above shows every subtopic.

Registration costs $165 USD (varies by country), and passing requires 700 (on Microsoft 1000-scale system). Credit card is the standard, secure way to pay — and note the fee applies per attempt, so a retake costs full price again. Practicing with the 40 questions from BraindumpsVCE until your mock scores clear the bar comfortably is the cheaper insurance.

Basic knowledge of statistics, data analysis, and R programming is recommended. Vendor policies evolve, so before booking, confirm the latest eligibility details on the official exam page.

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Microsoft Analyzing Big Data with Microsoft R Sample Questions:

Question #1

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
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for BraindumpsVCE members. You can sign-up / login (it's free).

Question #2

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 outFile parameter and specify a path other than the working directory for dplyrXdf.
Does this meet the goal?

  • A. Yes
  • B. No
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for BraindumpsVCE members. You can sign-up / login (it's free).

Question #3

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. rxLinMod
  • B. summary
  • C. rxDataStep
  • D. rxTweedie
  • E. rxTransform
  • F. stepAic
  • G. rxLogit
  • H. rxPredict
Reveal Solution  Discussion  0

Correct Answer: F  🗳️

Question #4

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 rxSummary function
  • B. the summary function
  • C. the rxCube function
  • D. the rxCrossTabs function
  • E. the Describe package
  • F. the rxQuantile function
  • G. the rxHistogram function
  • H. the ggplot2 package
Reveal Solution  Discussion  0

Correct Answer: F  🗳️

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