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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q346-Q351):

NEW QUESTION # 346
You are working with a SAS dataset 'PRODUCTS' with variables 'PRODUCT ID', 'PRODUCT NAME', and 'PRICE'. You want to create a new variable 'DISCOUNT PRICE' that calculates a 10% discount on the 'PRICE' if 'PRODUCT NAME' is 'Laptop' and the 'PRICE' is not missing, otherwise set it to missing. Which code snippet correctly achieves this?

Answer: A,E

Explanation:
The correct answers are A and B. Both code snippets correctly check if the 'PRODUCT_NAME' is 'Laptop' and the 'PRICE' is not missing using 'not missing(price)' or 'price ' conditions. If both conditions are met, it calculates the 'DISCOUNT_PRICE' by applying a 10% discount to the 'PRICE'. Otherwise, it sets the 'DISCOUNT PRICE' to missing using a single period (.). Option C is incorrect because it doesnt check for missing values in 'PRICE', which could result in erroneous calculations. Option D is incorrect because it uses the wrong comparison operator 'ne' for numeric variables. Option E is incorrect because it doesn't check for missing values in 'PRICE' and could result in incorrect calculations. This scenario highlights the importance of handling missing values while performing calculations and ensuring data integrity in SAS datasets.

NEW QUESTION # 347
You have a dataset with a variable 'DateOfBirth' in the format 'YYYYMMDD'. You want to create a new variable called 'Age' that represents the age in years as of today's date. What would be the most efficient way to calculate 'Age' using a DO loop within the DATA step?

A. Use a DO loop with a counter variable from 1 to today's date, subtract the 'DateOfBirth' value from each counter value, and assign the result to 'Age'.
B. Use a DO loop with a counter variable from 1 to 100 (or an appropriate maximum age), subtract the 'DateOfBirth' value from each counter value, and assign the result to 'Age' if it's positive.
C. Use a DO loop with a counter variable from today's date until 'DateOfBirth' (counting down), subtract 'DateOfBirth' from each counter value, and assign the result to 'Age'.
D. Use a DO loop with a counter variable from 1 to 365 (or an appropriate maximum days in a year), subtract the 'DateOfBirth' value from the counter value, divide the result by 365.25, and assign the result to 'Age'
E. Use the INTCK function to calculate the difference between today's date and 'DateOfBirth' in years and assign the result to 'Age'.

Answer: E

Explanation:
The most efficient way to calculate age is by using the INTCK function, which is specifically designed to calculate intervals between dates- Options A, B, C, and D involve unnecessary looping and calculations, making them less efficient and potentially prone to errors.

NEW QUESTION # 348
You have two SAS data sets, 'SALES' and 'ORDERS', both stored in the same library named 'SALES DATA. You need to combine the data from these two data sets into a new data set called 'SALES ORDERS' using the 'SET' statement. Which of the following statements will correctly combine the data from both 'SALES' and 'ORDERS' data sets into the new data set?

Answer: B,E

Explanation:
The correct answers are A and E. Both of these statements use the 'SET' statement to correctly combine data from both 'SALES' and 'ORDERS' data sets. Option A combines data from both data sets in a single 'SET statement. Option E combines data from both data sets using two separate 'SET statements. Options B, C, and D are incorrect because they either do not specify the library or use incorrect syntax in the 'SET statement. The 'SET statement requires the data set name to be separated by a space or semicolon to combine multiple datasets.

NEW QUESTION # 349
Which of the following SAS variable names are valid and adhere to the SAS naming conventions? 1 . _ age 2. Age_ 1 3. AGE 1 4. lage 5. Age! 6. Age_ 7. _1Age 8. _age_ 9. Age_l_

A. 2, 3, 6 and 7
B. 1, 3, 6 and 9
C. 2, 3, 6 and 9
D. 1, 2, 3 and 9
E. 1, 2, 3 and 6

Answer: C

Explanation:
SAS variable names must start with a letter or an underscore (_), and can contain letters, numbers, and underscores. They cannot contain special characters like The variable name can be up to 32 characters long. 1. '_age' is a valid SAS variable name. 2. 'Age_l' is a valid SAS variable name. 3. 'AGE _ 1' is a valid SAS variable name. 4. 'lage' is not a valid SAS variable name because it starts with a number. 5. 'Age" is not a valid SAS variable name because it contains a special character. 6. 'Age_' is a valid SAS variable name. 7. '_1Age' is not a valid SAS variable name because it starts with a number. 8. '_age_' is a valid SAS variable name. 9. 'Age_l_' is a valid SAS variable name.

NEW QUESTION # 350
You have a SAS data set named 'SALES' stored in a directory serverdat a. You need to access this data set using a LIBNAME statement. Which of the following LIBNAME statements will successfully access the data set and allow you to read its contents?

Answer: B

Explanation:
The correct answer is A. This LIBNAME statement correctly uses double backslashes to escape the path and points to the directory containing the data set. Options B, C, D, and E are incorrect because they either use incorrect syntax for path specification or do not correctly escape special characters.

NEW QUESTION # 351
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Dump A00-215 Check | New A00-215 Test Cost

100% Pass 2025 Professional SASInstitute A00-215: Dump SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Check

SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q346-Q351):

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