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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q355-Q360):

NEW QUESTION # 355
Which statement is true regarding the DATA step?

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

Answer: C

NEW QUESTION # 356
Given the code shown below:

What will be the format for MSRP in the RPOC PRINT output?

A. There is a syntax error in the FORMAT statement in the PROC PRINT step.
B. Comma12. 2
C. Dollar12.
D. Dollar10.

Answer: B

Explanation:
The FORMAT statement in the DATA step assigns formats to variables for the SAS dataset being created. In the code provided, MSRP is given the dollar12. format and Invoice is given the dollar10. format. However, during the PROC PRINT step, MSRP is reassigned to the comma12.2 format. The format specified in the most recent PROC step or DATA step that executes is the one that is used in the output.
Therefore, the format for MSRP in the PROC PRINT output will be comma12.2, making the answer: B.
Comma12.2
References:
* SAS documentation on PROC PRINT and FORMAT statement, SAS Institute.

NEW QUESTION # 357
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 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'
C. Use the INTCK function to calculate the difference between today's date and 'DateOfBirth' in years and assign the result to 'Age'.
D. 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.
E. 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'.

Answer: C

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 # 358
You have a dataset containing sales data for different products across multiple regions. You need to generate a report showing the average sales for each product in each region, as well as the overall average sales for each product across all regions. Which of the following PROC MEANS statements would achieve this?

Answer: B

Explanation:
The correct answer is E. This code snippet uses both CLASS statements to create a multi-level breakdown of the data by Region and Product. The OUTPUT statement creates a new dataset called 'Summary' with the calculated N (count) and MEAN (average sales) for each combination of Region and Product. The code in option D would produce the overall average sales for each product across all regions, but not the average for each region. Option A is incorrect because it does not specify an output dataset. Options B and C would generate a summary by Region or Product only, not both.

NEW QUESTION # 359
You have a dataset 'CustomerData' with variables 'CustomerlD', 'Age', and 'Income'. You want to create a new dataset 'CustomerSegments' with 'CustomerlD' and 'Segment' variables. The 'Segment' variable should be assigned based on the following rules: 1. If 'Age' is less than 30 and 'Income' is greater than 50,000, assign 'Young Professionals'. 2. If 'Age' is between 30 and 50 and 'Income' is greater than 75,000, assign 'Mid-Career Earners'. 3. If 'Age' is greater than 50 and 'Income' is greater than 100,000, assign 'Senior Executives'. 4. For all other cases, assign 'Other'. Which of the following code snippets will produce the correct 'CustomerSegments' dataset?

Answer: E

Explanation:
Option B is the correct code snippet as it accurately applies the conditional logic. It uses nested IF- THEN/ELSE statements to capture the multiple conditions based on 'Age' and 'Income', and the 'Segment' is assigned appropriately based on the rules. Options A, C, and D have incorrect conditions or miss some of the specified logic. Option E correctly uses 'output' but is not needed in this case as the default behavior in the DATA step is to output the data.

NEW QUESTION # 360
......

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A00-215 Practice Exams Free | A00-215 Top Questions

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q355-Q360):

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