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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q212-Q217):

NEW QUESTION # 212
You are analyzing customer survey data where respondents are asked to rate their satisfaction with a product on a scale of 1 to 5. You want to generate a frequency report that only shows the frequency counts for each rating level, without cumulative frequencies or percentages. Which PROC FREQ statement correctly achieves this?

Answer: E

Explanation:
The correct option is A. The NOCUM and NOPERCENT options in the PROC FREQ statement suppress the display of cumulative frequencies and percentages, respectively. The 'tables rating' statement specifies the variable for which the frequency report is to be generated. The other options either include options that are not relevant to the requirement or omit necessary options. Option B creates an output data set but does not control the frequency report display. Option C includes incorrect option names (nocum and nopercent) and Option D is also incorrect as it includes the NOPERCENT option which is not required in this case. Option E is incorrect as it only includes the NOCUM option and does not include the NOPERCENT option.

NEW QUESTION # 213
Which program generates the PROC MEANS report below?

A. proc means data=sashelp. class;
by Age;
run;
B. proc means data=sashelp.class nodec;
class Age; run;
C. proc means data=sashelp. class maxdec=0;
var Age;
run;
D. proc means data=sashelp. class;
group Age;
run;

Answer: C

Explanation:
The PROC MEANS report shown in the image displays statistics for a single variable Age with no decimal places. The correct SAS code to generate such a report is option D, which uses the PROC MEANS procedure with the maxdec=0 option to control the number of decimal places displayed (in this case, zero) and specifies Age as the analysis variable using the var statement.
The PROC MEANS procedure computes descriptive statistics for numeric variables. The maxdec=0 option is used here to remove decimal places from the report output, which matches the output shown where the mean, standard deviation, minimum, and maximum are all integers.
The other options are incorrect for the following reasons:
* A uses the class statement, which is not appropriate here because Age is not a classification variable but an analysis variable.
* B uses the group statement, which is not a valid statement in the PROC MEANS procedure.
* C uses the by statement, which requires the data to be sorted by the BY variable and does not fit the output provided since it would produce separate statistics for each value of Age.
References:
* SAS 9.4 documentation for the PROC MEANS statement: SAS Help Center: PROC MEANS

NEW QUESTION # 214
You are working with a dataset containing a variable 'Region' with values like 'Northeast', 'Southeast', 'Midwest', etc. You want to create a report that displays these values with more user-friendly labels like 'NE', 'SE', 'MW' respectively, but you don't want to permanently change the dat a. Which PROC step and LABEL statement combination would you use?

A. PROC SQL; SELECT Region, CASE WHEN Region = 'Northeast' THEN 'NE' ELSE Region END AS RegionLabel FROM YourDataset; RUN,
B. Region = 'Midwest' THEN 'MW' ELSE Region END AS RegionLabel FROM YourDataset; RUN;
C. PROC PRINT; LABEL Region = 'NE'; RUN;
D. PROC PRINT; LABEL Region = 'NE' 1 Region = 'SE' / Region = 'MW; RUN;PROC SQL; SELECT Region, CASE WHEN Region = 'Northeast' THEN 'NE' WHEN Region = 'Southeast' THEN 'SE WHEN
E. PROC REPORT; LABEL Region = 'NE' / Region = 'SE' / Region = 'MW'; RUN;

Answer: D

Explanation:
PROC PRINT can use the LABEL statement to assign temporary labels tovariables within the report. The syntax 'LABEL Region = 'NE' I Region = 'SE' / Region = 'MW' assigns the desired labels for specific values of the 'Region' variable. This approach provides temporary changes only for the report output, leaving the original data untouched. Option A is incorrect as it only assigns one label and doesnt consider multiple values. Options B and E use PROC SQL to create a new variable 'RegionLabel' with the desired labels, which is a valid solution, but doesnt utilize the LABEL statement specifically. Option C is incorrect because PROC REPORT doesn't have the LABEL statement for temporary attributes, it uses the 'define' statement to define attributes for report columns.

NEW QUESTION # 215
What is the default byte size of a numeric variable?
Enter your numeric answer in the space above.

Answer:

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

NEW QUESTION # 216
Consider the following SAS code:

Which of the following statements is TRUE about the SAS code?

A. The code will create two datasets, 'work-sales' and "work.sales_summary' and 'work.sales_summary' will contain only records where 'sales_amt' is greater than 1000.
B. The code will create a single dataset, 'work-sales' , and 'work.sales_summary' will not be created.
C. The code will create two datasets, 'work-sales' and but 'work.sales_summary' will be empty because the statement condition is not met for any records in the 'work.sales' dataset.
D. The code will create two datasets, 'work-sales' and -work.sales_summary' and will contain all records from 'work.sales'
E. The code will produce an error because the 'output' statement is not allowed in a 'data' step.

Answer: A

Explanation:
The code will create two datasets: 'work-sales' and 'work-sales_summary' - The 'output' statement in the 'data' step for 'work-sales_summary' is used to control which records are written to the output dataset. The 'if sales_amt > 1000' condition ensures only records where the 'sales_amt' is greater than 1000 are written to 'worksales_summary'.

NEW QUESTION # 217
......

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VALID A00-215 EXAM LABS & A00-215 VALID EXAM COST

Valid A00-215 Exam Labs & A00-215 Valid Exam Cost