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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q108-Q113):

NEW QUESTION # 108
You are analyzing a dataset containing customer demographics and product purchase information. You want to generate a two-way frequency table displaying the relationship between customer age groups (categorized as 'Young', 'Middle-Aged', and 'Senior') and product type (categorized as 'Electronics', 'Clothing', and 'Food'). Which PROC FREQ option would you use to control the layout of this two-way table so that customer age groups appear as rows and product types appear as columns?

Answer: D

Explanation:
The option in PROC FREQ allows you to control the layout of two-way tables by specifying the variables that will appear as rows and columns. In this case, the code CROSSLIST will display customer age groups as rows and product types as columns in the frequency table.

NEW QUESTION # 109
You have a SAS dataset called 'EMPLOYEES' with variables 'EMPLOYEE ID', 'FIRST NAME', 'LAST NAME', 'DEPARTMENT', 'SALARY, 'HIRE DATE'. You need to create a new dataset called 'EMPLOYEES HIGH SALARY' containing only employees with salaries greater than $100,000, and you want to rename the 'SALARY' variable to 'HIGH SALARY'. Which code snippet correctly achieves this?

Answer: C

Explanation:
Option D correctly combines the RENAME: option to change the variable name, the WHERE clause to filter based on salary, and the DROP= option to remove the 'HIRE_DATE' variable. The RENAME= option is used inside the SET statement to rename the 'SALARY' variable to 'HIGH_SALARY'. The WHERE clause filters the data by checking if the 'SALARY' variable is greater than 100000. Option A is incorrect because the RENAME= option should be placed inside the SET statement. Option B is incorrect because the HIGH_SALARY variable does not exist at the time of filtering. Option C is incorrect because it attempts to rename the variable inside an IF statement, which is not the right syntax Option E is incorrect as it does not drop the 'HIRE DATE' variable as requested in the scenario.

NEW QUESTION # 110
You have a dataset with a variable named 'REGION' containing numeric values representing different geographical regions. You need to display these regions in a report using meaningful labels like 'North America', 'Europe', etc. Which code snippet correctly defines a custom format using PROC FORMAT to achieve this?

Answer: B

Explanation:
Option A is the correct code snippet. The 'PROC FORMAT; VALUE statement is used to define a custom format. The syntax 'VALUE format_name value = label' maps the numeric value to its corresponding label. In this case, 'RegionFmt' is the format name, and values 1, 2, and 3 are mapped to 'North America', 'Europe', and 'Asia', respectively. Option B is incorrect as the value list needs to be separate and assigned to the corresponding labels. Option C is incorrect as the semicolon is outside the parenthesis and will cause a syntax error. Option D is incorrect because the value list is enclosed in parenthesis and the labels should be comma-separated. Option E is incorrect because the format name and the assignment are wrong.

NEW QUESTION # 111
Which PROC PRINT step correctly displays only the first 10 observations in the data set?

A. proc print data=sashelp.class (obaS'10' )
; run;
B. proc print data=sashelp.class(obs=l10);
run;
C. proc print data=sashelp.class obs=10;
run;
D. proc print data=sashelp.class;
obs=10;
run;

Answer: B

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.
References:
* SAS 9.4 documentation on the obs= data set option.

NEW QUESTION # 112
You have a SAS dataset called 'product _ info' with variables 'Product ID', 'Product Name', and 'Price'. You want to export this data to a CSV file called 'products.csv' but need to ensure that the data is exported in a specific order: Product _ Name, Product ID, and Price. Which PROC EXPORT statement correctly accomplishes this?

Answer: E

Explanation:
The correct answer is option C. The ORDER= option within the PROC EXPORT statement allows you to specify the order of variables in the exported file. It takes a list of variables enclosed in parentheses- The correct syntax is ORDER=(Product_Name Product_lD Price). Option A exports the data without specifying an order- Option B and D specify invalid ORDER= options. Option E specifies the ASCENDING order, which is not what the question asks.

NEW QUESTION # 113
......

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