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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q21-Q26):

NEW QUESTION # 21
You need to access data stored in a SAS dataset named 'SalesData' within a SAS library named 'MySalesLibrary'. Which LIBNAME statement would you use to assign the dataset to the SAS library?

A. LIBNAME MySalesLibrary 'SalesData' SASDATA,
B. LIBNAME MySalesLibrary 'SalesData' DATA,
C. LIBNAME MySalesLibrary 'SalesData' ,
D. LIBNAME MySalesLibrary 'SalesData' FILE,
E. LIBNAME MySalesLibrary 'SalesData-sas7bdat'

Answer: B

Explanation:
The correct option is D: "LIBNAME MySalesLibrary 'SalesData' DATA; ". This statement assigns the SAS dataset 'SalesData' to the library 'MySalesLibrary'. The DATA engine type specifies that 'SalesData' is a SAS dataset. Option A is incorrect as it assigns the entire library name 'MySalesLibrary' to a file named 'SalesData'. Option B is incorrect because the LIBNAME statement doesn't require the file extension, as SAS knows it's a SAS dataset. Option C is incorrect as SASDATA is an outdated keyword, 'DATA' is the preferred engine type for SAS datasets. Option E is incorrect as FILE engine type is used for external data files (CSV, TXT), not SAS datasets.

NEW QUESTION # 22
You are analyzing a dataset containing customer information. You want to create a report that summarizes the average age of customers by their 'IncomeGroup' variable, but you want to display the IncomeGroup values with more descriptive labels. For example, instead of 'High', 'Medium', 'Low', you want to display 'High Income', 'Medium Income', 'Low Income'. How would you use the LABEL statement and PROC MEANS to achieve this?

A. PROC MEANS DATA=YourDataset; VAR Age; CLASS IncomeGroup, LABEL IncomeGroup = 'High Income' / IncomeGroup = 'Medium Income' / IncomeGroup = 'Low Income'; RUN,
B. PROC MEANS DATA=YourDataset; VAR Age; CLASS IncomeGroup; LABEL IncomeGroup = 'High Income' / IncomeGroup = 'Medium Income' / IncomeGroup = 'Low Income'; OUTPUT OUT=Summary; RUN;
C. PROC MEANS DATA=YourDataset; VAR Age; CLASS IncomeGroup; LABEL IncomeGroup = 'High Income' / IncomeGroup = 'Medium Income'; RUN,
D. PROC MEANS DATA=YourDataset; VAR Age; CLASS IncomeGroup; LABEL 'High Income' = IncomeGroup / 'Medium Income' = IncomeGroup / 'Low Income' = IncomeGroup; RUN;
E. PROC MEANS DATA=YourDataset; VAR Age; CLASS IncomeGroup, LABEL IncomeGroup = 'High Income' / 'Medium Income' / 'Low Income', RUN,

Answer: A

Explanation:
The LABEL statement in PROC MEANS allows you to specify temporary labels for variables used in the report The syntax 'LABEL IncomeGroup = 'High Income' / IncomeGroup = 'Medium Income' I IncomeGroup = 'Low Income" assigns the desired labels for each value of the 'IncomeGroup' variable- This ensures the report displays the labels while leaving the original data unchanged. Option B is incorrect as the syntax for labeling multiple values is incorrect Option C is incorrect because only two labels are assigned and not all income groups- Option D is incorrect as it assigns labels to the values 'High Income', 'Medium Income', and 'Low Income' instead of the IncomeGroup variable. Option E is incorrect as the LABEL statement is only for temporary attributes within the PROC MEANS output, not for creating a new dataset.

NEW QUESTION # 23
Given the partial shown below:

Which step will produce this report?

A. proc freq data=sashelp. shoes
data=sashelp.shoes; region product / list
run;
B. proc freq data=sashelp.shoes;
tables region*producc / cross run;
C. proc freq data= sashelp, shoes order=freq;
table region product / crosalist
run;
D. proc freq data=sashelp.shoes order=freq;
tables region*product / list;
run;

Answer: C

NEW QUESTION # 24
Consider the following SAS code:

During the execution of the DATA step, what happens when the code encounters a missing value in the 'old_var' variable? What is the behavior of the 'new var' variable in such a scenario?

A. The 'new_var' variable will be assigned a default value, usually 0.
B. The 'new_var' variable will be assigned the value of the previous observation's 'old_var' variable, if available.
C. The DATA step will halt with an error, as arithmetic operations are not allowed on missing values.
D. The 'new_var' variable will also be assigned a missing value.
E. The 'new_var' variable will be assigned the value 1 as the '+' operator will treat the missing value as O_

Answer: D

Explanation:
When the DATA step encounters a missing value in 'old_var', the calculation 'old_var + 1' will also result in a missing value. SAS does not perform arithmetic operations on missing values, and the result of any arithmetic operation involving a missing value is always a missing value. Therefore, 'new_var' will be assigned a missing value.

NEW QUESTION # 25
Given the report shown below:

Which PROC PREQ step creates the frequency report?

A. proc freq data= cars;
tables make *drivetrain;
run;
B. proc freq data- cars;
tables drivetrain* make;
run;
C. proc freq data- cars;
tables drivetrain make;
run;
D. proc freq data= cars;
tables make drivetrain;
run;

Answer: B

NEW QUESTION # 26
......

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