Microsoft 70-773 Online Practice Questions and Exam Preparation

Microsoft 70-773 Online Questions & Answers

• Question 1:

  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. rxPredict
  B. rxLogit
  C. summary
  D. rxLinMod
  E. rxTweedie
  F. stepAic
  G. rxTransform
  H. rxDataStep
  F. stepAic

• Question 2:

  You need to use the ScaleR distributed processing in an Apache Hadoop environment. Which data source should you use?

  A. Microsoft SQL Server database
  B. XDF data files
  C. ODBC data
  D. Teradata database
  B. XDF data files

• Question 3:

  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
  A. Yes

• Question 4:

  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 remove all instances of the file.remove method.

  Does this meet the goal?

  A. Yes
  B. No
  B. No

• Question 5:

  You are running a large logistic regression for 1,000 feature variables by using the LoisticRegression() function in the MicrosoftML package. All of the predictor variables are numeric.

  Currently, you specify the input variables separately by using the following formula.

  Outcome ~ Feature000 + Feature001 + Feature002 + ... + Feature999

  You discover that it takes 20 minutes to estimate each model.

  You need to reduce the amount of time required to estimate each model without losing any information in the predictors.

  What should you do?

  A. Use stepControl() to perform stepwise regression to limit the number of variables that contribute to the model.
  B. Use selectFeatures() to select the features that provide the most information about the outcome variable.
  C. Use princomp() on the correlation matrix of Features, and then use only the first 100 principle components to reduce the number of input variables.
  D. Use concat() to create a single array variable named Features, and then specify a new formula named Outcome ~ Features.
  D. Use concat() to create a single array variable named Features, and then specify a new formula named Outcome ~ Features.

• Question 6:

  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 rxCube function
  F. the summary function
  G. the rxCrossTabs function
  H. the ggplot2 package
  C. the rxSummary function

• Question 7:

  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. maxSurrogate
  B. maxNumBins
  C. maxDepth
  D. maxCompete
  E. xVal
  E. xVal

• Question 8:

  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 generate a residual based on two columns. The solution must build a trend indicator. Which function should you use?

  A. rxPredict
  B. rxLogit
  C. summary
  D. rxLinMod
  E. rxTweedie
  F. stepAic
  G. rxTransform
  H. rxDataStep
  A. rxPredict

• Question 9:

  You are planning the compute contexts for your environment.

  You need to execute rx-function calls in parallel.

  What are three possible compute contexts that you can use to achieve this goal? Each correct answer presents a complete solution.

  NOTE: Each correct selection is worth one point.

  A. local parallel
  B. Spark
  C. local sequential
  D. Map Reduce
  E. SQL
  A. local parallel
  B. Spark
  D. Map Reduce

• Question 10:

  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 rxSetComputeContext with the local parameter before performing operations that save results.

  Does this meet the goal?

  A. Yes
  B. No
  B. No