70-773 무료 덤프문제 온라인 액세스

HOTSPOT
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario
You are developing a Microsoft R Open solution that will leverage the computing power of the database server for some of your datasets.
You are performing feature engineering and data preparation for the datasets.
The following is a sample of the dataset.

End of repeated scenario.
You need to sort the data from the dataset sample and to remove duplicates by using wkswork1.
Which R code segment should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

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 have a Microsoft SQL Server instance that has R Services (In-Database) installed.
You need to monitor the R jobs that are sent to SQL Server.
Solution: You register an Extended Events package.
Does this meet the goal?

• A.No
• B.Yes

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

You need to build a model that looks at the probability of an outcome. You must regulate between L1 and L2.
Which classification method should you use?

• A.Two-Class Support Vector Machine
• B.Two-Class Logistic Regression
• C.Two-Class Decision Forest
• D.Two-Class Neutral Network

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 have a Microsoft SQL Server instance that has R Services (In-Database) installed.
You need to monitor the R jobs that are sent to SQL Server.
Solution: You create an events trace configuration file and place the file in the same directory as the BXLServer process.
Does this meet the goal?

• A.No
• B.Yes