Question 1

Which statement is true regarding the XLSX engine in the LIBNAME statement?

Accepted Answer

B

Explanation: The correct answer is B: The XLSX engine can read and write data in Microsoft Excel workbooks. This functionality allows SAS users to directly access and manipulate data stored in Excel files using the .xlsx extension. The XLSX engine does not automatically concatenate individual worksheets; instead, each worksheet is accessed separately. Also, it specifically works with files that have the .xlsx extension, not the older .xls format, thus eliminating option C. Option D is incorrect because the XLSX engine requires the correct file extension (.xlsx) in the LIBNAME statement to properly identify and interact with Excel files. Reference: SAS documentation on LIBNAME statement for XLSX engine: SAS Support: LIBNAME Statement

Question 2

Which ODS EXCEL statement correctly creates an Excel using the ANALYSIS style?

Accepted Answer

A

Explanation: The correct answer is A: Ods excel='c:\report.xlsx' style=analysis;. This syntax is correct for the ODS EXCEL statement in SAS, where you specify the path and filename, followed by the 'style' option to apply a specific style template to the output Excel file. The 'style=analysis' is used to set the output appearance according to the 'ANALYSIS' style template provided by SAS. Option B is syntactically incorrect and does not use the 'style' option correctly. Option C incorrectly places a slash which is not syntactically valid in this context, and Option D misses the equals sign and quotes which are necessary for correct syntax in SAS. Reference: SAS documentation on ODS EXCEL statement: SAS Support: ODS EXCEL Statement

Question 3

Given the input data set WORK. GR_ANS with two character variables: https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_15_img_1.jpg The following SAS program is submitted: https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_15_img_2.jpg Which report is created? A) https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_15_img_3.jpg B) https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_15_img_4.jpg C) https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_15_img_5.jpg D) https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_16_img_1.jpg

Accepted Answer

D

Explanation: The SAS program provided includes a PROC FORMAT step that defines a numeric format called Syn and applies this format to the variable answer in the PROC PRINT step. The format maps the value '0' to 'No', '1' to 'Yes', and all other values to 'Unknown'. However, there is a syntax error in the PROC FORMAT step: it uses a dollar sign before Syn, which is used to indicate character formats, but the format is defined for numeric values (0 and 1). Therefore, when applying this format to the answer variable in PROC PRINT, it should not have a dollar sign, it should be format answer Syn.; instead of format answer $yn.;. The correct output based on the given code, assuming the error with the dollar sign is corrected, would be as follows: For numeric values 0 and 1, 'No' and 'Yes' would be displayed, respectively. For any other numeric value, 'Unknown' would be displayed. For character values, the format would not apply and the actual values would be displayed. Given that the values in the 'answer' column are numeric, the program will format them according to the defined Syn format. Thus, the report corresponding to Option D, which shows numeric values unformatted, would be the one created. This indicates that the format was not applied because of the syntax error with the dollar sign. Reference: SAS 9.4 documentation for the FORMAT procedure and statement: SAS Help Center: PROC FORMAT

Question 4

Given the input data sets EMPLOYEES and DONATIONS, and the output data set NODONATIONS below: https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_23_img_1.jpg https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_23_img_2.jpg

Accepted Answer

C

Explanation: The correct answer is C. To create the NODONATIONS dataset, which includes only the employees who did not make any donations, a merge operation is used with a conditional statement to filter out those records. The syntax if inE=1 and inD=0; ensures that the merged dataset includes only the observations from the EMPLOYEES dataset that do not have a corresponding observation in the DONATIONS dataset. This is achieved using data step processing with the in= option to create temporary variables that indicate whether the data is coming from the input dataset. In the other options: A is incorrect because inE=0 and inD=0 will never be true after a merge since at least one of the datasets must contribute to the merged observation. B lacks the necessary conditional logic to filter out employees with donations. D is incorrect because if inE=1 and inD=1; would actually select employees who made donations, the opposite of what we want. Reference: SAS documentation on merging data sets using the DATA step.

Question 5

Which PROC SORT option allows you to create an output data set of the sorted data?

Accepted Answer

D

Explanation: In SAS, the PROC SORT procedure is used to sort data. To save the sorted data into a new dataset, the OUT= option is used in the PROC SORT statement. This option allows you to specify the name of the output dataset that will contain the sorted data. Here is how it's used: proc sort data=original out=sorted; by variable; run; will sort the dataset original by variable and create a new dataset named sorted containing the sorted data. Option A, Data=, is not valid for the PROC SORT procedure. Option B, SORTOUT=, is a common misconception but is not correct; OUT= is the right option. Option C, OUTPUT=, is not used within PROC SORT; it is used in other procedures such as PROC TABULATE and PROC SUMMARY for output datasets. Reference: SAS 9.4 documentation for the PROC SORT statement: SAS Help Center: PROC SORT

Question 6

Which LABEL statement has correct syntax?

Accepted Answer

B

Explanation: In SAS, the correct syntax for assigning labels to variables is to use the LABEL statement within a DATA step or a PROC step. Labels are assigned to variables using the format variable='label'. The correct syntax for the LABEL statement is represented by option B. Here’s the breakdown: FName=’First Name’ correctly assigns the label First Name to the variable FName. LName=’Last Name’ correctly assigns the label Last Name to the variable LName. Each variable and label pair is separated by a space, and the overall statement ends with a semicolon, which is the proper syntax for a LABEL statement in SAS. Options A, C, and D are incorrect due to various syntax errors like the use of the wrong character for the apostrophe, missing apostrophes, incorrect punctuation, and in the case of option C, an incorrect conjunction ‘and’ which is not used in LABEL statements. Reference: SAS 9.4 documentation for the LABEL statement: SAS Help Center: LABEL Statement

Question 7

Given the code shown below: https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_50_img_1.jpg What will be the format for MSRP in the RPOC PRINT output?

Accepted Answer

B

Explanation: The FORMAT statement in the DATA step assigns formats to variables for the SAS dataset being created. In the code provided, MSRP is given the dollar12. format and Invoice is given the dollar10. format. However, during the PROC PRINT step, MSRP is reassigned to the comma12.2 format. The format specified in the most recent PROC step or DATA step that executes is the one that is used in the output. Therefore, the format for MSRP in the PROC PRINT output will be comma12.2, making the answer: B. Comma12.2 Reference: SAS documentation on PROC PRINT and FORMAT statement, SAS Institute.

Question 8

Which PROC PRINT step correctly displays only the first 10 observations in the data set?

Accepted Answer

A

Explanation: Option A is correct. The (obs=10) option is used as a data set option within the proc print statement to limit the number of observations processed to the first 10. The syntax should be placed immediately after the data set name within parentheses. Options B, C, and D are incorrect because they either use the wrong option or place the obs option incorrectly outside of the parentheses or with incorrect syntax. Reference: SAS 9.4 documentation on the obs= data set option.

Question 9

____ steps typically report, manage, or analyze data. Enter your answer in the space above. Case is ignored.

Accepted Answer

DATA

Explanation: In SAS, the DATA step is a powerful tool that allows programmers to perform a variety of tasks such as reporting, managing, and analyzing dat a. 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. Reference: SAS 9.4 Language Reference: Concepts.

Question 10

What is the default byte size of a numeric variable? The default length of numeric variables in SAS data sets is ______ bytes Enter your numeric answer in the space above.

Accepted Answer

8

Explanation: 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. Reference: SAS documentation on numeric variables, SAS Institute.

Question 11

Given the following DATA step: https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_50_img_2.jpg What is the value of average? The value of average is _____. Enter your numeric answer in the space above.

Accepted Answer

4

Explanation: 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. Reference: SAS documentation on the MEAN function, SAS Institute.

Question 12

How does SAS display missing values?

Accepted Answer

A

Explanation: SAS handles missing values distinctively based on the data type of the variable. For numeric variables, SAS represents missing values with a period (.). For character variables, missing values are represented by a blank space. This handling is crucial for distinguishing between actual data entries and absent data, particularly in statistical calculations and data processing. Options B, C, and D incorrectly describe the representation of missing values in SAS, which does not use special characters like 'N', 'C', or '$' for this purpose. Reference: SAS documentation on handling missing data, SAS Institute.

Question 13

Which step temporarily assign a format to the sales variable?

Accepted Answer

D

Explanation: The correct answer is D. This option uses the PROC PRINT procedure, which is used to print SAS data sets. The format statement within PROC PRINT temporarily assigns a format to a variable for the duration of the PROC PRINT step. Here is how it works: data=sashelp.shoes; tells SAS which dataset to print. Format sales comma12.; temporarily assigns a comma format to the sales variable, making it easier to read, especially if the numbers are large. The comma12. format adds commas for thousands, millions, etc., and displays the number in a field that is 12 characters wide. The format is only applied for the duration of the PROC PRINT step and does not permanently change the dataset. The other options are incorrect for the following reasons: Option A attempts to use a PROC FORMAT step, which is for creating custom formats, not for assigning formats to variables in a dataset. Option B uses a DATA step which could permanently assign the format to the sales variable if it were syntactically correct (it should be set sashelp.shoes; instead of Set sashelp,sheoes;). Option C mentions PROC CONTENTS which displays metadata about variables in a dataset and does not have the capability to assign formats. Reference: SAS 9.4 documentation for the PROC PRINT statement: SAS Help Center: PROC PRINT

Question 14

Given the program below: https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_30_img_1.jpg Why does the program fail?

Accepted Answer

C

Explanation: The program fails because option C is correct: you must include the dataset height2 in the DATA statement. The DATA step is trying to write to a dataset named height2, which has not been defined in the DATA statement. The correct syntax to create two datasets in one DATA step is to list them both in the DATA statement like so: data height1 height2; The use of numbers in dataset names is not a problem in SAS, nor is outputting to different data sets within a single DATA step. Additionally, using two different DATA statements for HEIGHT1 and HEIGHT2 is not required and is not the cause of the failure. Reference: SAS documentation on the DATA statement and creating multiple data sets.

Question 15

Given the display of the CITIES data set: https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_9_img_1.jpg Which program creates the PROC PRINT report below? https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/SAS_A00-215/page_9_img_2.jpg

Accepted Answer

B

Explanation: The PROC PRINT statement is used for printing SAS datasets. To customize the column headers in the report, you use the label statement within the PROC PRINT procedure to assign new labels to variables, and the label option in the PROC PRINT to activate these labels. The noobs option suppresses the printing of observation numbers in the report. Option B has the correct syntax for what is being requested: proc print data=cities label noobs; specifies the dataset to print with the label option to display variable labels and noobs to hide the observation numbers. label Name='Employee Name' City='Birth City'; assigns the label 'Employee Name' to the 'Name' variable and 'Birth City' to the 'City' variable. run; signifies the end of the PROC PRINT procedure. Options A, C, and D are incorrect due to syntax errors: A uses an incorrect option showlabelse instead of label and noobs. C is incorrect because it lacks the label option in the proc print statement which is necessary to actually display the labels, and the labels are being incorrectly used within the proc print instead of in a label statement. D has several issues: there is no display statement in SAS, the option noobs should be outside of the proc print statement, and the labels should be defined in a label statement, not within proc print. Reference: SAS 9.4 documentation for the PROC PRINT statement: SAS Help Center: PROC PRINT

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