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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q79-Q84):

NEW QUESTION # 79
You have a dataset 'CUSTOMERS' with variables 'CUSTOMER ID', 'ORDER DATE', and 'ORDER AMOUNT'. You need to calculate the total order amount for each customer and then calculate the average order amount across all customers. Which code snippet achieves this correctly?

Answer: B

Explanation:
The correct answer is "A". This solution uses two DATA steps to first calculate the total order amount for each customer using the AMOUNT)' statement and then calculates the average order amount across all customers in a separate DATA step using the statement. Option B incorrectly attempts tocalculate the average within the same DATA step as the total, leading to incorrect results. Option C uses 'sum(of ORDER_AMOIJNTY and 'mean(of total_amounty incorrectly, Option D includes unnecessary code for 'last.CUSTOMER ID' which would lead to an incomplete output, and option E has no correct answers.

NEW QUESTION # 80
Consider the following SAS code:

What is the order in which the statements in the DATA step are executed for a single record in the WORK.OLD DATA dataset?

A. SET statement, IF statement, IF statement, IF statement, IF statement, IF statement
B. SET statement, IF statement, ELSE IF statement, ELSE IF statement, ELSE IF statement, IF statement
C. SET statement, IF statement, IF statement, IF statement, IF statement
D. SET statement, IF statement, ELSE IF statement, ELSE IF statement, ELSE IF statement, ELSE statement, IF statement
E. SET statement, ELSE IF statement, ELSE IF statement, ELSE IF statement, ELSE statement, IF statement

Answer: D

Explanation:
The execution order within a SAS DATA step is as follows: 1. ,SET statement" This statement reads a record from the input dataset (WORK.OLD_DATA in this case) and assigns the values to the variables. 2. "IF/ELSE IF/ELSE statements": These statements are evaluated in order. In this code, the first set of IFIELSE IFIELSE statements evaluate the age variable, followed by the second set of IF/ELSE statements for the 'CITY variable. Therefore, for a single record, the execution order is as follows: 1. SET statement (read the record) 2. IF statement (AGE > 65) 3. ELSE IF statement (AGE > 40) 4. ELSE IF statement (AGE > 18) 5. ELSE IF statement (AGE > 18) 6. ELSE statement (no conditions match, AGE GROUP assigned 'Child') 7. IF statement (MISSING(CITY)).

NEW QUESTION # 81
You have a SAS dataset named 'sales_summary' containing sales data by product category. You need to export this dataset to an Excel file named 'sales_summary.xlsx', including specific formatting for the columns and applying conditional formatting based on sales values. Which ODS statements would correctly configure the Excel output and apply the desired formatting?

Answer: A,C

Explanation:
Both options B and E provide valid solutions to the problem. Option B utilizes the 'proc report' procedure, which offers flexibility in controlling the output format and allows for basic formatting using the 'format' statement. Option E uses 'proc report' as well and includes a 'style' attribute to apply a green color to cells where sales exceed 10000. This demonstrates conditional formatting. Option A uses 'proc print' which is not designed for creating structured tables suitable for export. Option C uses 'proc tabulate' , which is not ideal for applying conditional formatting directly within the procedure. Option D uses an incorrect 'where' clause within the sods excel' block, which is not the proper method for applying conditional formatting.

NEW QUESTION # 82
You are tasked with importing a CSV file containing financial dat
a. The file has a header row, but some columns have missing values represented by empty strings. You want to import these missing values as SAS missing values (.) rather than empty strings. Which PROC IMPORT option would you use to achieve this?

A. GUESSINGROWS=MAX
B. MISSING-YES
C. REPLACE-YES
D. OUT=dataset
E. DBMS=CSV

Answer: B

Explanation:
The option tells PROC IMPORT to treat empty strings as missing values. The other options are not relevant to handling missing values: OUT=dataset specifies the output dataset name, DBMS=CSV indicates the file type, REPLACE=YES ovenvrites existing datasets, GUESSINGROWS=MAX specifies the maximum number of rows to use for guessing data types, and tells PROC IMPORT to use all rows to infer data types.

NEW QUESTION # 83
Which statement is true regarding the DATA step?

A. The DATA step must be the first step in a program.
B. The DATA step can only read raw data files.
C. The DATA step reads, processes and creates date
D. The DATA step can output only one data set.

Answer: C

Explanation:
The correct answer is B. The DATA step in SAS is used to read, process, and create data sets. It can read from various sources, not just raw data files but also existing SAS datasets and external databases. It processes the data by executing operations on each observation and can create one or more SAS datasets as output. The other options are incorrect because:
* A is incorrect because the DATA step is not limited to reading only raw data files.
* C is incorrect because the DATA step can output multiple data sets using the OUTPUT statement.
* D is incorrect because the DATA step does not have to be the first step in a program; it can be used anywhere in the program where data processing is required.
References:
* SAS 9.4 Language Reference: Concepts, "DATA Step"
* SAS documentation on processing data with the DATA step.

NEW QUESTION # 84
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