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Microsoft 070-773 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Build Predictive Models with ScaleR | - Build and use partitioning models - Estimate linear models - Create additional models using MicrosoftML packages - Generate predictions and residuals - Evaluate models and tuning parameters |
| Topic 2: Read and Explore Big Data | - Read data with R Server - Visualize data - Summarize data |
| Topic 3: Use R Server in Different Environments | - Implement analysis workflows in Hadoop and Spark - Deploy predictive models to SQL Server and Azure Machine Learning - Optimize tasks using local compute contexts - Use different compute contexts to run R Server effectively - Perform in-database analytics using SQL Server |
| Topic 4: Process Big Data | - Manage data sets - Perform complex transforms using transform functions - Process data with rxDataStep - Process text using MicrosoftML packages |
What 070-773 Candidates Want to Know
The Microsoft Analyzing Big Data with Microsoft R questions are written and organized by senior experts and experienced specialists so that your study time concentrates on the most test-relevant knowledge. Instead of spreading your effort across endless coverage, you practice what the 070-773 exam actually weighs, which raises your learning efficiency session by session.
The real 070-773 exam gives you 120 minutes minutes for 40-60 questions. Rehearsing under the same conditions on the ExamTorrent engine builds the pacing you will rely on.
- Process Big Data ()
- Build Predictive Models with ScaleR ()
- Use R Server in Different Environments ()
Let the weights decide where your hours go first.
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The package contains 40 practice questions for the 070-773 exam, all verified by senior experts and organized for focused, efficient revision.
To pass 070-773 you need 700/1000, and the official exam fee is USD 165. Fixing both figures early keeps your target concrete and your budget planned.
No mandatory prerequisite exam. This exam was one of the required exams for the MCSA: Machine Learning certification path.
Microsoft Analyzing Big Data with Microsoft R Sample Questions:
You have a slow Map Reduce job.
You need to optimize the job to control the number of mapper and runner tasks.
Which function should you use?
- A. rxExec
- B. RxComputeContext
- C. RxLocalParallel
- D. RxHadoopMR
Correct Answer: A 🗳️
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 evaluate the significance of coefficients that are produced by using a model that was estimated already.
Which function should you use?
- A. rxPredict
- B. summary
- C. rxLinMod
- D. rxDataStep
- E. rxTweedie
- F. stepAic
- G. rxTransform
- H. rxLogit
Correct Answer: C 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
You have a dataset that has a character variable.
You need to create a bag of counts of n-grams.
Which function should you use?
- A. selectFeatures()
- B. categoricalHash()
- C. categorical()
- D. concat()
- E. featurizeText()
Correct Answer: E 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
You are running a parallel function that uses the following R code segment. (Line numbers are included for reference only.)
0 1 cp <- 0.01 xval <- 0 maxdepth <- 5
0 2
0 3 (form, data = "segmentationDataBig", maxDepth = maxdepth, cp = cp, xval = xval, blocksPerRead = 250 You need to complete the R code. The solution must support chunking.
Which function should insert at line 02?
- A. rxDTree
- B. rxExec
- C. rxDForest
- D. rxBTrees
Correct Answer: A 🗳️
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