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SASInstitute A00-215 exam is designed for individuals who want to demonstrate their proficiency in SAS programming fundamentals. The Exam attempts to evaluate the candidate's skills in basic data manipulation and management, SAS programming techniques, and debugging skills. The A00-215 Exam contributes towards earning the SAS Certified Associate credential.
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NEW QUESTION # 171
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?
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 # 172
You have a dataset named 'CUSTOMERS' containing customer information. You need to create a sorted dataset named 'CUSTOMERS SORTED' based on the 'STATE' variable, but only for customers who are 'Active'. Which PROC SORT statement achieves this?
Answer: A
Explanation:
Option B is the correct answer The WHERE clause is specified within the DATA= option of PROC SORT, filtering the data before sorting. This ensures only active customers are included in the sorted dataset. Options A, C, and E have incorrect placement of WHERE and BY statements. Option D sorts by 'STATE' in descending order, which is not specified in the requirement.
NEW QUESTION # 173
Which LABEL statement has correct syncytax?
Answer: B
NEW QUESTION # 174
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 # 175
You need to export a SAS dataset 'product_sales' to an Excel file 'sales_report.xlsx' with specific formatting: - Sheet name: 'Sales Summary' - Column 'Product Name' should have a width of 30 characters - Column 'Total _ Sales' should be formatted as currency with two decimal places Which code snippet correctly performs this export?
Answer: A
Explanation:
Option E is the correct answer. It uses the PROC EXPORT statement with DBMS=XLSX to export the 'product_sales' dataset to the 'sales_reportxlsx' file. It specifies the sheet name as 'Sales Summary', sets the column width for 'Product_Name' to 30 characters, and formats 'Total_Sales' as currency with two decimal places using the FORMAT statement The REPLACE option ensures that any existing file with the same name is ovenvritten. Option A is incorrect because it attempts to create a new SAS dataset within the 'excel' LIBNAME and then export it to the Excel file- This approach is inefficient and doesn't allow for formatting options- Options B and C are incorrect because they don't specify the sheet name and column width. Option D is incorrect because it uses the AUTO option for 'Total_Sales' column width, which doesn't provide the desired formatting.
NEW QUESTION # 176
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