Pass the SAS Institute Programming Fundamentals A00-215 Questions and answers with CertsForce

The report shown in the image is a two-way frequency table generated by the PROC FREQ procedure which shows the frequency and percentage distribution of two categorical variables. The correct answer is option B:

proc freq data=cars; tells SAS to use the PROC FREQ procedure on the dataset cars.

tables make*drivetrain; requests the frequency table for the cross of make and drivetrain. The asterisk (*) denotes a two-way table of the two categorical variables.

run; indicates the end of the proc freq step.

The resulting table in the output has the statistics for Make broken down by Drivetrain category, which matches the structure seen in the provided image.

Options A, C, and D do not correctly request the two-way table of make by drivetrain. Specifically, C and D reverse the order, which would change the orientation of the table in the output, and A is missing the asterisk (*) which is needed for the cross-tabulation of the two variables.

References:

SAS 9.4 documentation for the PROC FREQ statement: SAS Help Center: PROC FREQ

In the DATA step provided, average is calculated using the mean function, which calculates the average of the non-missing values of the variables listed. The variables provided are:

var1 = 2

var2 = 4

var3 = .

var4 = 6

The mean function in SAS ignores missing values, represented by a period (.). Hence, the average is computed using the non-missing values (2, 4, and 6). The mean of these three numbers is calculated as: (2 + 4 + 6) / 3 = 12 / 3 = 4

Therefore, the value of average is 4.

References:

SAS documentation on the MEAN function, SAS Institute.

To subset data in SAS using the data step, the where statement is used to specify the conditions that observations must meet to be included in the new data set. The correct syntax for subsetting the SASHELP.BASEBALL data set to include only players in the 'East' Division with 75 or more hits is as follows:

data bball;

set sashelp.baseball;

where Division = 'East' and nHits >= 75;

run;

This code, as shown in option D, uses the where statement with the correct logical operator and to ensure that both conditions must be true for a record to be included in the new dataset. Options A, B, and C either use incorrect syntax or logical operations that do not match the required conditions for the subset. Option A has an incorrect combination of conditions, B uses two where statements which is not valid syntax, and C incorrectly uses the or operator which would include players not in the 'East' Division or with fewer than 75 hits.

The SUM statement in SAS is used to sum values across observations, adding the value of the expression on the right side of the statement to the variable on the left. It does not use an equal sign (eliminating A), only one variable can be on the left-hand side of a SUM statement (eliminating B), and it is not initialized to 1 by default (eliminating D). What makes the SUM statement particularly useful is that it ignores missing values when summing across observations, which means that missing values do not affect the sum (option C is correct).

References:

SAS documentation on the SUM statement, SAS Institute.

The default length of numeric variables in SAS data sets is 8 bytes.

In SAS, the default byte size of a numeric variable is 8 bytes. This allows for a significant amount of precision and a wide range of numeric values to be stored within a numeric variable, regardless of the actual number of digits in the number being stored.

References:

SAS documentation on numeric variables, SAS Institute.

Data set options in SAS, such as KEEP= (to specify variables to keep in a dataset) and RENAME= (to change the names of variables in a dataset), have specific rules for their usage:

A. The options must be placed in parentheses - This is correct. When specifying dataset options in SAS, they must be enclosed in parentheses immediately following the dataset name, without any spaces in between.

D. The options are placed after the data set name - This is also correct. Dataset options follow the dataset name and are enclosed in parentheses to modify how SAS reads or writes the dataset in that step.

Option B is incorrect because data set options are allowed in both DATA and PROC steps, provided they are relevant to the procedure being used. Option C is incorrect because data set options can be applied to both input and output datasets, depending on the context and specific operation being performed.

References: SAS 9.4 Language Reference: Concepts.

https://v8doc.sas.com/sashtml/lrcon/z0961108.htm

In SAS, the automatic variable _N_ represents the number of times the DATA step has iterated. It starts at 1 and increments by 1 each time the DATA step loops back to the top. This variable can be used within the DATA step to monitor the iteration count but is not written to the output data set. The other options, A, C, and D, are not automatically created variables that track iterations in the DATA step.

References:

SAS documentation on automatic variables.

The correct syntax for creating an Excel workbook using the ODS (Output Delivery System) Excel destination with a specific style is provided by option D. The syntax is as follows: ods excel file='c:\report.xlsx' style=analysis;This statement instructs SAS to output the results of subsequent procedures to an Excel workbook located at c:\report.xlsx, applying the ANALYSIS style to the output. The file= option specifies the path and name of the Excel file to be created or overwritten, and the style= option indicates the style template to be used for the output. The ANALYSIS style is one of the predefined styles that can be applied to the output to control the appearance of tables and graphs. Other options like A) and B) are incorrect due to syntax errors and misplacement of keywords. Option C) has a typo in the file path and incorrect syntax usage.References: SAS 9.4 Output Delivery System: User's Guide.

The reason the labels for MSRP, MPG_City, and MPG_Highway are not displaying in the PROC PRINT report is that the LABEL option was not used in the PROC PRINT statement. In SAS, even if you have label statements in your DATA step, you must also specify the LABEL option in the PROC PRINT statement for those labels to be used in the report output. Thus, the correct answer is Option A: You must use the LABEL option on the PROC PRINT statement.

References:

SAS documentation on the PROC PRINT statement and LABEL option, SAS Institute.

In SAS, the DATA step is a powerful tool that allows programmers to perform a variety of tasks such as reporting, managing, and analyzing data. The DATA step processes data one observation at a time, making it highly efficient for data manipulation tasks. It enables the creation of new datasets, modification of existing ones, and complex data transformations. Additionally, within a DATA step, you can use a wide range of programming statements and functions to calculate new variables, merge or sort datasets, and perform conditional processing. The flexibility and functionality provided by DATA steps make them a fundamental part of SAS programming for handling and preparing data for further analysis or reporting.References: SAS 9.4 Language Reference: Concepts.