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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q130-Q135):

NEW QUESTION # 130
You have a dataset 'EmployeeData' with variables 'Department', 'JobTitle', and 'YearsOfExperience'. You want to create a two-way frequency table showing the distribution of 'JobTitle' across different 'Department's. You also want to use the 'CROSSLIST' option to control the layout, but you want to include only those employees with 'YearsOfExperience' greater than 5. Which PROC FREQ statements, along with the correct options, achieve this?

Answer: A

Explanation:
The correct answer is A. Similar to the previous question, the 'WHERE statement in PROC FREQ is used to filter the data based on a condition. 'WHERE YearsOfExperience>5' will only include observations where 'YearsOfExperience' is greater than 5. Option B is incorrect because 'IF' is not a valid statement for filtering in PROC FREQ Option C is incorrect because 'BY' is used for grouping and not filtering_ Option D is incorrect because it uses 'OUTPUT , which creates an output dataset, but does not affect the filtering. Option E is incorrect because it includes an additional filter for 'JobTitle' which is not part of the original requirement.

NEW QUESTION # 131
You are working with a dataset containing sales data, where the 'SalesRegion' variable can have values like 'North', 'South', 'East', 'West', or be missing. You want to create a custom format that labels missing values as 'Unknown' and uses different labels for specific regions: 'North' becomes 'Northern Region', 'South' becomes 'Southern Region', and so on. Which PROC FORMAT code snippet correctly defines this format?

Answer: C

Explanation:
The correct answer is Option A. It accurately defines the custom format 'REGION FORMAT by explicitly mapping each specified region value to a more descriptive label and using 'OTHER' to handle any other value, including missing values. Options B and C use 'MISSING' or '.' directly, which are not the correct way to handle any non-specified values, including missing values. Options D and E are incorrect because they unnecessarily use both 'OTHER' and or 'MISSING', which can cause unexpected behavior.

NEW QUESTION # 132
You are tasked with analyzing a SAS program that calculates a customer's total spending based on multiple transactions. The program unexpectedly produces incorrect totals for certain customers. After reviewing the code, you notice a statement within a loop that is not properly handling negative transaction amounts. Which of the following best describes the type of error you are dealing with, and how would you effectively use the PUTLOG statement to identify the source of the issue?

A. Syntax error; use PUTLOG to print the value of the transaction amount before and after the problematic statement.
B. Logic error; use PUTLOG to print the value of variables involved in the calculation within the loop, including the transaction amount and the running total.
C. Logic error; use PUTLOG to print the customer ID and the calculated total spending at the end of each customer's transaction processing.
D. Syntax error; use PUTLOG to print the entire SAS program's code-
E. Logic error; use PUTLOG to print the line number and the contents of the problematic statement

Answer: B

Explanation:
The program is producing incorrect results, which indicates a logic error. The issue stems from improper handling of negative transaction amounts. PUTLOG can be used to print the values of variables within the loop, including the transaction amount and the running total. By examining these values, you can pinpoint the specific transactions causing the incorrect totals and identify the logic flaw in the code.

NEW QUESTION # 133
You have a dataset called 'EMPLOYEES' with variables 'DEPARTMENT', 'SALARY', and 'YEARS OF SERVICE'. You want to create a new variable called 'AVG SALARY DEPT' that contains the average salary for each department, considering only employees with more than 5 years of service. What SAS code snippet would correctly achieve this?

Answer: A,E

Explanation:
Both options C and E are correct. Option C uses PROC MEANS to calculate the mean salary for each department, filtering employees based on 'YEARS_OF SERVICE' and utilizing the OUTPUT statement to store the results. Option E uses PROC SQL with the AVG function and GROUP BY to achieve the same result. Option A is incorrect because it does not group by department Option B is incorrect because it does not filter based on 'YEARS OF_SERVICE'. Option D is incorrect because it uses the SUM and COUNT functions without considering grouping by department. This question focuses on the practical application of calculating average salary for different departments, demonstrating the power of the DATA Step and its alternatives like PROC MEANS and PROC SQL.

NEW QUESTION # 134
You have a CSV file named 'product_sales.csv' with the following structure: Product,Region,Sales,Date Apple,North, 100,2023-03-15 Orange,West, 150,2023-03-17 You need to import this data into a SAS dataset named 'ProductSales', but the 'Date' column should be in SAS date format (YYYYMMDD). Which code snippet correctly achieves this?

Answer: E

Explanation:
Option E is the correct answer. It uses the INFORMAT statement within PROC IMPORT to specify the input format for the 'Date' column as yymmdd8., which is the SAS date format for YYYYMMDD. Options A, B, and C do not specify any informat for the 'Date' column, leading to the data being imported in the original format. Option D uses the incorrect informat yymmdd10. which is for YYYY-MM-DD format. The correct informat for YYYYMMDD is yymmdd8.

NEW QUESTION # 135
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