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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q101-Q106):
NEW QUESTION # 101
You are analyzing customer demographics data and want to create a frequency distribution report for the 'Age' variable, sorted by age group in ascending order. The 'Age' variable has values ranging from 18 to 80. Which PROC FREQ statement would achieve this?
- A.
- B.
- C.
- D.
- E.
Answer: D
Explanation:
The correct answer is D. The ORDER-ASCENDING option specifically sorts the rows in ascending order based on the values of the variable. The other options have different functionalities: A (ORDER=DATA): Sorts rows based on the order in which they appear in the input dataset. B (ORDER=FREQ): Sorts rows by frequency, from highest to lowest. C (ORDER-FORMATTED): Sorts rows based on the formatted values of the variable- E (ORDER-INTERNAL): Sorts rows based on the internal storage order of the variable.
NEW QUESTION # 102
Which statement is true about the DROP statement during the compilation phase of the DATA step?
- A. Variables on the DROP statement are not created in the Program Data Vector
- B. The DROP statement determines the order of the variables in the Program Data Vector
- C. The DROP statement flags the variables in the Program Data Vector to be dropped at output.
- D. Variables on the DROP statement are removed from the input data set.
Answer: D
NEW QUESTION # 103
Which line contains a syntax error?
- A. Line 2
- B. Line 1
- C. Line 3
- D. Line 5
Answer: C
Explanation:
In the provided code snippet, Line 3 contains a syntax error. The keep statement is used incorrectly here; the correct keyword to use is where in order to filter the dataset. The correct line should be something like:
where Make = 'Honda';
So, the keep statement on Line 3 is not properly used, and also there appears to be a missing quotation mark at the end of 'Honda' which should be closed before the semicolon.
References:
* SAS documentation for the where statement.
NEW QUESTION # 104
You have a SAS dataset 'CUSTOMERS' with variables 'CUSTOMER ID', 'NAME', and 'CITY'. You need to create a new dataset 'ACTIVE CUSTOMERS' containing only those customers who have made purchases in the past 3 months. You have another dataset 'ORDERS' with variables 'ORDER ID', 'CUSTOMER ID', and 'ORDER DATE'. How would you use the SET statement to achieve this?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
It uses the 'SET' statement to read the 'CUSTOMERS' dataset. The ' if statement filters the customers based on whether their 'CUSTOMER_ID is present in the 'ORDERS dataset, where the 'ORDER DATE is within the past 3 months- The 'intnx('month', today(), -3)' function calculates the date 3 months prior to today. The 'select distinct' statement ensures that only unique customer IDs are retrieved from the 'ORDERS' dataset- Option A uses 'select CUSTOMER ID , which may result in duplicate customer IDs- Option B uses 'merge' , which combines datasets based on a shared variable, and the 'if statement filters the combined dataset Option D only reads the 'ORDERS dataset and filters by the order date, not considering customer information- Option E checks for any existing customer IDs in the 'ORDERS dataset, not filtering by the order date.
NEW QUESTION # 105
You are analyzing customer data and need to generate a report that displays the frequency distribution of customer age groups (18-25, 26-35, 36-45, 46-55, 56+) along with the corresponding percentages. Which of the following PROC FREQ statements would achieve this?
- A.
- B.
- C.
- D.
- E.
Answer: E
Explanation:
Option D is the correct answer It uses the NOCOL PERCENT option to display the percentages and utilizes the FORMAT statement to define a format for the age variable using a custom AGEGROUP format, allowing grouping of ages into the desired categories- Option A only produces the frequency count. Option B doesn't use the format, which would not group ages into the required categories. Option C only uses the format without the percentage calculation. Option E is an incorrect code snippet This demonstrates the need for both format definition and percentage calculation for achieving the desired report output.
NEW QUESTION # 106
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