100% Pass 2025 SASInstitute A00-215: SAS Certified Associate: Programming Fundamentals Using SAS 9.4–Efficient Visual Cert Exam
100% Pass 2025 SASInstitute A00-215: SAS Certified Associate: Programming Fundamentals Using SAS 9.4–Efficient Visual Cert Exam
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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q367-Q372):
NEW QUESTION # 367
How many statements are In the program shown below?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
Explanation:
In the provided program, there are six distinct SAS statements:
* data FemaleStudents; - Data step beginning
* set sashelp.Class; - Set statement
* where Sex="F"; - Where statement
* Classroom="Red Room"; - Assignment statement
* run; - Run statement to execute the data step
* title "Female Students in Red Room"; - Title statement
Note that the proc print and the second run; statement are part of another PROC step to print the results and hence are not counted in this particular count. The final title; statement is used to clear the title setting and does not count as part of the program statements being asked about.
References:
* SAS 9.4 Language Reference: Concepts, "DATA Step"
* SAS documentation on "TITLE Statement"
NEW QUESTION # 368
You have a dataset 'Orders' with variables 'CustomerlD', 'OrderDate', 'OrderStatus', and 'OrderAmount'. You need to generate a report that summarizes the average 'OrderAmount' for each 'OrderStatus' and 'OrderDate' combination. Additionally, you want to include the total number of orders for each order status. Which PROC MEANS statement would you use to achieve this, while also ensuring the output dataset includes the 'OrderDate' variable for further analysis?
- A.
- B.
- C.
- D.
- E.
Answer: C
Explanation:
The correct answer is option D. This statement uses the 'FIRSTOrderDate' option in the OUTPUT statement, which ensures that the 'OrderDate' variable is included in the output dataset and retains the value of 'OrderDate' for the first occurrence of each unique combination of 'OrderStatus' and 'OrderDate'. Option A incorrectly calculates the total number of orders for each combination of 'OrderDate' and 'OrderStatus'. Option B uses the correct order of variables in the CLASS statement but does not include the 'OrderDate' variable in the output. Option C uses an incorrect syntax for including the 'OrderDate' variable. Option E includes 'OrderDate' in the output but uses 'LAST.OrderDate', which would give the last occurrence of 'OrderDate' for each combination. Therefore, Option D is the most accurate way to achieve the desired output.
NEW QUESTION # 369
You have a SAS dataset called 'product _ info' with variables 'Product ID', 'Product Name', and 'Price'. You want to export this data to a CSV file called 'products.csv' but need to ensure that the data is exported in a specific order: Product _ Name, Product ID, and Price. Which PROC EXPORT statement correctly accomplishes this?
- A.
- B.
- C.
- D.
- E.
Answer: C
Explanation:
The correct answer is option C. The ORDER= option within the PROC EXPORT statement allows you to specify the order of variables in the exported file. It takes a list of variables enclosed in parentheses- The correct syntax is ORDER=(Product_Name Product_lD Price). Option A exports the data without specifying an order- Option B and D specify invalid ORDER= options. Option E specifies the ASCENDING order, which is not what the question asks.
NEW QUESTION # 370
Which of the following options correctly implements the desired output formatting in SAS using PROC MEANS?
- A.
- B.
- C.
- D.
- E.
Answer: C
Explanation:
Option B is the correct answer. It uses the MAXDEC=2 option to specify the desired decimal places for the output statistics. The CLASS statement identifies the 'customer_group' variable, and the VAR statement specifies the 'amount' variable for analysis. The OUTPUT statement creates a new dataset called 'avg_purchases' with the average purchase amount for each customer segment, stored in the variable 'avg_amount'. Option A uses a FORMAT statement outside the PROC MEANS step to control the formatting, which is not the most efficient approach and can lead to issues if the variable is further used in other analyses. Option C is missing the RUN statement for the PROC MEANS step. Option D uses a PROC PRINT step to display the results, but it does not use the MAXDEC= option within PROC MEANS to ensure the desired formatting. Option E is similar to option D but tries to format the output dataset directly in the PROC PRINT step, which is not the intended purpose. Option B correctly implements the MAXDEC= option within PROC MEANS, which directly controls the formatting of the output statistics.
NEW QUESTION # 371
You have an Excel file 'customer data.xlsx' with two sheets: 'Customers' and 'Orders'. The 'Customers' sheet contains customer IDs and names, while the 'Orders' sheet contains order IDs, customer IDs, and order dates. You want to create a SAS dataset 'combined_data' that joins data from both sheets based on the common 'Customer ID' column. Which code snippet correctly accomplishes this?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
Option B is the correct answer. It uses the MERGE statement to join the two datasets ('Customers' and 'Orders') based on the common column 'Customer_lD'. The BY clause specifies the join variable. Option A is incorrect because it uses the SET statement, which doesn't perform a join operation. Option C is incorrect as it simply concatenates the two datasets without a join condition. Option D is incorrect because it uses an IF statement and a subquery to select data from the 'Orders' dataset, which is inefficient Option E is incorrect as it simply combines the two datasets using SET, which doesn't join on a common column.
NEW QUESTION # 372
......
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