A00-215 무료 덤프문제 온라인 액세스

You have a SAS data set 'SALES DATA' with a variable 'DATE' representing the sale date. You need to create a new data set 'SALES BY MONTH' that summarizes sales by month. You want to include only the observations from the 'SALES DATA' dataset where the 'DATE' variable falls between January 1st and March 31st of the current year. How would you achieve this, using the SET statement and the IN T NX function?

• A.data SALES_BY MONTH; set SALES_DATA; if 'OlJAN2023'd and '31 MAR2023'd then output; run;
• B.data set SALES_DATA; if = 'OlJAN2023'd then output; run;
• C.data SALES BY MONTH; set SALES_DATA; if 'OlJAN2023'd and '31 MAR2023'd then output; run;
• D.data SALES BY MONTH; set SALES_DATA; if 'OlJAN2023'd and '31 MAR2023'd then output; run;
• E.data set SALES_DATA; if date 'OlJAN2023'd and date '31 MAR2023'd then output; run;

Consider the following SAS code snippet:

The code is intended to assign 'SAN FRANCISCO' to the 'CITY' variable for all customers residing in California ('CA'). However, it is not working as expected. Which of the following adjustments would be MOST effective in identifying the exact cause of the logic error and aiding in debugging the code?

• A.Remove the 'PUTLOG' statement completely and use the SAS Log to monitor the executiom
• B.Add the statement 'PUTLOG STATE,' before the 'IF' statement
• C.Add a 'PUTLOG' statement at the end of the 'DO' loop to track the number of iterations.
• D.Replace 'PUTLOG 'Customer from CA';' with 'PUTLOG CITY;'
• E.Use the 'ERROR' option in the 'PUTLOG' statement to generate an error message.

You have a dataset 'CUSTOMERS' with variables 'CUSTOMER ID', 'NAME', 'CITY', and 'STATE'. You want to create a new dataset 'NEW CUSTOMERS' containing only observations from the 'CUSTOMERS' dataset where the 'STATE' is either 'CA' or 'NY'. You also want to add a new variable called 'REGION' to the 'NEW CUSTOMERS dataset, assigning 'West' for CA customers and 'East' for NY customers. Which of the following DATA step code snippets will achieve this?

• A.
• B.
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• E.

You have a dataset with a variable 'SalesAmount' representing the sales revenue for each customer. You want to assign a descriptive label to each 'SalesAmount' based on its value: 'Low' for values below $1000, 'Medium' for values between $1000 and $5000, and 'High' for values above $5000. How would you accomplish this using the FORMAT statement?

• A.
• B.
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• E.

You are working with a SAS program that reads data from a file and performs some calculations. The program runs without errors, but the results seem incorrect. You suspect that the program is not reading the data correctly from the file. Which of the following statements would be the most effective way to resolve this issue?

• A.Use the SET statement with the keyword 'KEEP' to select specific variables from the input file.
• B.Use the INPUT statement with the 'LENGTH' option to specify the length of each variable in the input file.
• C.Use the INFILE statement with the keyword 'MISSOVER' to skip over missing values in the input file.
• D.Use the INPUT statement with the 'COLUMN' option to specify the column position of the variables in the input file.
• E.Use the INPUT statement with the '@@' option to read the next observation without advancing to the next line.