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100% Pass Quiz 2025 A00-215 - SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Exam Voucher
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SASInstitute A00-215 exam is a comprehensive certification that covers all essential aspects of SAS programming. A00-215 exam validates the candidates' understanding of SAS programming syntax, data manipulation, data analysis, and reporting using SAS. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is an excellent way for individuals to demonstrate their proficiency in SAS programming and enhance their career prospects in the field of data analytics.
SASInstitute A00-215 (SAS Certified Associate: Programming Fundamentals Using SAS 9.4) is a certification exam that measures an individual's proficiency in SAS programming. A00-215 exam is designed for individuals who are interested in pursuing a career in data analysis, research, or business intelligence. It is also suitable for professionals who want to validate their SAS programming skills.
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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q191-Q196):
NEW QUESTION # 191
You have a dataset 'Orders' with variables 'CustomerlD', 'OrderDate', 'OrderStatus', and 'OrderAmount'. You need to generate a report that summarizes the average 'OrderAmount' for each 'OrderStatus' and 'OrderDate' combination. Additionally, you want to include the total number of orders for each order status. Which PROC MEANS statement would you use to achieve this, while also ensuring the output dataset includes the 'OrderDate' variable for further analysis?
- A.
- B.
- C.
- D.
- E.
Answer: B
Explanation:
The correct answer is option D. This statement uses the 'FIRSTOrderDate' option in the OUTPUT statement, which ensures that the 'OrderDate' variable is included in the output dataset and retains the value of 'OrderDate' for the first occurrence of each unique combination of 'OrderStatus' and 'OrderDate'. Option A incorrectly calculates the total number of orders for each combination of 'OrderDate' and 'OrderStatus'. Option B uses the correct order of variables in the CLASS statement but does not include the 'OrderDate' variable in the output. Option C uses an incorrect syntax for including the 'OrderDate' variable. Option E includes 'OrderDate' in the output but uses 'LAST.OrderDate', which would give the last occurrence of 'OrderDate' for each combination. Therefore, Option D is the most accurate way to achieve the desired output.
ย
NEW QUESTION # 192
The data set Snacks contains three variables (productName, Flavor, and Price). Given the program shown below:
What is the type and length of SnackType?
- A. Character, 8
- B. Character, 5
- C. Character, 7
- D. Numeric, 8
Answer: C
Explanation:
The type and length of SnackType are character and 7, which makes option B correct. In the provided program, SnackType is assigned a value of "Chips" which is a character string. The length statement is used to explicitly declare SnackType as a character variable with a length of 7 before it is used, which will take precedence over any later assignments or implications about the variable's type or length.
References:
* SAS documentation on variable length.
ย
NEW QUESTION # 193
Which PROC PRINT step correctly displays only the first 10 observations in the data set?
- A. proc print data=sashelp.class obs=10;
run; - B. proc print data=sashelp.class (obaS'10' )
; run; - C. proc print data=sashelp.class(obs=l10);
run; - D. proc print data=sashelp.class;
obs=10;
run;
Answer: C
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.
ย
NEW QUESTION # 194
You have a dataset with customer demographics and sales dat
a. You want to calculate the average customer age and average purchase amount, displaying both to one decimal place. Which PROC MEANS statement would achieve this with the MAXDEC= option?
- A.
- B.
- C.
- D.
- E.
Answer: B,E
Explanation:
Both A and D are correct. The MAXDEC= option applies globally to all calculated statistics in PROC MEANS. Option A applies MAXDEC= to all variables listed in the VAR statement, while option D applies it at the procedure level. Option B attempts to apply MAXDEC= separately to each variable, which is unnecessary and may not be effective. Option C uses the OUTPUT statement to create a new dataset but doesn't specify a MAXDEC= option within the OUTPUT statement, which would mean the new dataset would not have the decimal places controlled. Option E uses FORMAT statements to format the output variables, but does not control the calculations. The most efficient and accurate way to achieve the desired output is to use MAXDEC= globally within the procedure (option D) or explicitly apply it to the VAR statement (option A).
ย
NEW QUESTION # 195
Given the program below:
Why does the program fail?
- A. You cannot use numbers in data set names.
- B. You cannot output to different data sets
- C. You must include the data set height2 in the DATA statement
- D. You must use two different DATA statements for HEIGHT1 and HEIGHT2
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.
References:
* SAS documentation on the DATA statement and creating multiple data sets.
ย
NEW QUESTION # 196
......
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