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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q359-Q364):

NEW QUESTION # 359
Consider a dataset named 'CUSTOMERS' with variables 'CUSTOMER D', 'NAME', 'CITY', 'STATE', and 'ZIP'. You want to generate a report that displays only the 'CUSTOMER ID', 'NAME', and 'CITY' variables, but you want to sort the report by 'STATE' in ascending order and then by 'CITY' in descending order. Which PROC PRINT statement accomplishes this?

Answer: C

Explanation:
The correct answer is option B. The ORDER statement within PROC PRINT is used to specify the sorting order of the report. The syntax 'ORDER STATE ASCENDING CITY DESCENDING' indicates that the report should be sorted first by 'STATE' in ascending order and then by 'CITY' in descending order. Options A, C, D, and E are incorrect as they either use incorrect syntax or sort the report in a different order than the specified requirement.

NEW QUESTION # 360
You have a CSV file named 'sales_data.csv' with the following structure: Product,Region,Sales Product A,North,1000 Product Product C,East,800 Product D,West, 1200 You need to import this data into a SAS dataset named 'SALES' with the following requirements: 1. The 'Sales' column should be converted to a numeric variable. 2. The 'Region' column should be treated as a character variable. 3. The 'Product' column should be the primary key. Which of the following PROC IMPORT statements would achieve this correctly?

Answer: E

Explanation:
The correct option is C. Here's why: PROC IMPORT is used to import data from external files into SAS datasets. OUT-SALES specifies the name of the SAS dataset to be created. DATAFILE='sales_data.csv' indicates the location of the CSV file. DBMS=CSV specifies the type of data source as a CSV file. REPLACE ensures any existing dataset with the same name is overwritten. GETNAMES=YES tells SAS to use the first row of the CSV file as variable names. DATAROW=2 indicates the data starts from the second row of the CSV file (skipping the header row). GUESSINGROWS=I helps SAS to guess the data types of the variables. The code inside the DATA step converts the 'Sales' column to a numeric variable using the INPUT function with the BEST 12. format. This ensures that SAS reads the 'Sales' values as numeric data. Why other options are incorrect: Option A: Does not perform the required data type conversion. Option B: Creates a new variable 'SALES NUM' but doesn't correctly assign it to the 'Sales' column. Option D: Uses the '12.' format which is not suitable for the 'Sales' data and may lead to data truncation or errors. Option E: Attempts to convert the 'Region' column to uppercase, which is not part of the requirements- Additionally the 'Region' variable is already assumed to be a character variable by default in the IMPORT statement.

NEW QUESTION # 361
You have a SAS dataset named 'CUSTOMERS' with variables 'CUST ID' and 'CITY'. You want to generate a report that displays the city names in a column titled 'Location' instead of 'CITY' and assign a specific label to the 'CUST ID' variable. Which code snippet correctly uses the LABEL statement for the required modifications?

Answer: C

Explanation:
Option D uses the correct syntax for both assigning a label to the 'CUST_ID' variable using the 'label' statement and renaming the 'CITY' variable to 'Location' using the 'rename' statement. The other options either lack the rename statement or use incorrect syntax for applying labels. Option C might seem correct, but it only renames the variable in the print procedure. It does not permanently change the variable name in the dataset.

NEW QUESTION # 362
You are analyzing customer data in a SAS data set named 'CUSTOMER DATA'. You need to create a new data set called 'ACTIVE CUSTOMERS that contains only customers who have made a purchase in the last 12 months. The 'CUSTOMER DATA' dataset has the following variables: CUSTOMER D, LAST PURCHASE DATE. Which DATA step code snippet correctly accomplishes this task?

Answer: D

Explanation:
The correct code snippet is option D It uses the INTNX function to calculate the date 12 months prior to today's date (TODAY()). The IF statement then filters the data to include only records where the LAST_PURCHASE DATE is greater than or equal to the date calculated by INTNX- Option A is incorrect because it subtracts only one year, not 12 months. Option B is incorrect because it uses a strict greater than comparison, which will exclude customers who made purchases exactly 12 months ago. Option C is incorrect because it calculates the date one year prior to today's date, not 12 months Option E is incorrect because it uses a strict greater than comparison, which will exclude customers who made purchases exactly 12 months ago.

NEW QUESTION # 363
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. 1, 2, 3 and 9
B. 1, 2, 3 and 6
C. 2, 3, 6 and 9
D. 1, 3, 6 and 9
E. 2, 3, 6 and 7

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 # 364
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