Career growth takes many forms, but for IT professionals the Microsoft Analyzing Big Data with Microsoft R certification is a decision that pays off in skills first. CertkingdomPDF supports that decision with 40 practice questions for the 070-773 exam, designed to fit into your spare time.
Microsoft 070-773 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Analyzing Big Data with Microsoft R |
| Exam Number: | 70-773 |
| Passing Score: | 700 (on Microsoft 1000-scale system) |
| Related Certifications: | MCSA: SQL 2016 BI Development Microsoft Certified: Data Analyst Associate (related modern replacement concepts) |
| Certificate Validity Period: | Retired (no longer offered) |
| Exam Format: | Multiple choice, Lab-based tasks, Case study, Scenario-based questions |
| Exam Price: | $165 USD (varies by country) |
| Exam Duration: | 120-150 |
| Available Languages: | English |
| Real Exam Qty: | 40-60 |
| Sample Questions: |  |
| 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: Prepare and clean data for analysis | - Clean and preprocess datasets - Handle missing and inconsistent data - Import and transform data using R |
| Topic 2: Integrate R with Microsoft data platforms | - Use R in Azure Machine Learning environments - Use R with SQL Server |
| Topic 3: Build and evaluate predictive models | - Model training and validation - Feature engineering in R - Regression and classification models |
| Topic 4: Perform data analysis with R | - Work with large datasets - Descriptive statistics and exploratory data analysis - Apply statistical methods in R |
| Topic 5: Visualize and communicate results | - Data visualization with R packages (ggplot2, etc.) - Reporting and dashboards |
What to Know Before Buying 070-773 Material
After each practice session, the online test engine records which questions you answered incorrectly and reminds you to revisit them in your next round. Reviewing your own mistakes daily shows you clearly where your weaknesses and strengths lie, so every session builds on the last instead of starting from scratch.
The Microsoft Analyzing Big Data with Microsoft R exam contains 40-60 questions, and you will have 120-150 minutes to complete them. Practicing the full volume under a timer is the closest thing to rehearsing the real exam.
Many candidates combine practice questions with official training. Recommended options include:
Yes. The online test engine lets you set a time limit for each practice session, so you can train yourself to allocate minutes per question the way you will need to in the real 070-773 exam. Working under a clock at home makes time pressure on exam day feel routine rather than alarming.
The Microsoft Analyzing Big Data with Microsoft R exam requires a score of 700 (on Microsoft 1000-scale system) to pass, and the official registration fee is $165 USD (varies by country). Since the exam fee is a real investment, thorough preparation is the most practical way to protect it.
Basic knowledge of statistics, data analysis, and R programming is recommended.
You can confirm the current eligibility requirements on the official 070-773 exam page before you register.
The Microsoft Analyzing Big Data with Microsoft R practice questions are organized around the official exam objectives. Key topics include:
- Perform data analysis with R ()
- Build and evaluate predictive models ()
- Integrate R with Microsoft data platforms ()
Daily practice mapped to these topics keeps your preparation balanced across the whole syllabus.
You can register for the Microsoft Analyzing Big Data with Microsoft R exam through the official channels:
This package includes 40 practice questions for the Microsoft Analyzing Big Data with Microsoft R exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
Microsoft Analyzing Big Data with Microsoft R Sample Questions:
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. 5
- B. 7
- C. 3
- D. 2
Correct Answer: A 🗳️
Explanation: Only visible for CertkingdomPDF members. You can sign-up / login (it's free).
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. maxDepth
- B. maxCompete
- C. xVal
- D. maxSurrogate
- E. maxNumBins
Correct Answer: C 🗳️
Explanation: Only visible for CertkingdomPDF 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 have a dataset that contains the physical characteristics of people.
You need to visualize a relationship between height and weight for a subset of observations in the dataset.
What should you use?
- A. the Describe package
- B. the rxHistogram function
- C. the rxSummary function
- D. the rxQuantile function
- E. the rxCrossTabs function
- F. the summary function
- G. the ggplot2 package
- H. the rxCube function
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 Describe package
- B. the rxHistogram function
- C. the rxSummary function
- D. the rxQuantile function
- E. the rxCrossTabs function
- F. the summary function
- G. the ggplot2 package
- H. the rxCube function
Correct Answer: C 🗳️
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