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?

You have cloud and on-premises resources that include Microsoft SQL Server and a big data environment in Apache Hadoop.
You have 50 billion fact records.
You need to build time series models to execute forecasting reports on the fact records.
What should you use?

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 plan to score some data to create data features to address empty rows.
You have the following R code.

You need to transform the data and overwrite the current dataset.
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.

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