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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q296-Q301):

NEW QUESTION # 296
Consider the followin SAS code:

What will the output dataset 'SORTED PRODUCTS' contain?

A. only the distinct records from 'PRODUCTS', sorted by 'DATE MANUFACTURED' ascending and then by 'PRODUCT ID' ascending.
B. All records from 'PRODUCTS, sorted by 'DATE_MANUFACTURED' ascending and then by 'PRODUCT_ID' ascending, with no duplicate rows.
C. The output dataset will have only one row per unique 'PRODUCT ID', sorted by 'PRODUCT ID' and the earliest 'DATE MANUFACTURED' for each 'PRODUCT ID'
D. All records from 'PRODUCTS, sorted by 'PRODUCT_ID' ascending and then by 'DATE_MANUFACTURED' ascending, with no duplicate rows.
E. only the distinct records from 'PRODUCTS, sorted by 'PRODUCT_ID' ascending and then by 'DATE_MANUFACTURED' ascending.

Answer: E

Explanation:
The NODUPKEY option in PROC SORT eliminates duplicate rows based on the variables specified in the BY statement. In this case, it will keep only one row for each unique combination of 'PRODUCT_ID' and 'DATE_MANUFACTURED'. The dataset will be sorted by 'PRODUCT_ID' ascending and then by 'DATE_MANUFACTURED' ascending. Therefore, the output dataset will contain only the distinct records from 'PRODUCTS', sorted accordingly.

NEW QUESTION # 297
You have a dataset called ' 'SalesData'' with variables ''Region SalesPerson Product'', and ' 'Revenue' '. You need to create a new dataset called ' 'RegionSummary'' that calculates the total revenue for each region, and then identifies the top-performing salesperson in each region (based on total revenue). Which SAS code accurately uses the SUM statement to achieve this, and includes appropriate logic to identify the top salesperson?

Answer: D

Explanation:
This code effectively uses the SUM statement to calculate the total revenue for each region, and then utilizes the lastRegion condition to identify the top-performing salesperson within each region. The code first initializes the total_revenue and top_salesperson variables for each new region. It then accumulates the total revenue using the SUM statement When the last record for a region is reached, the code compares the current sales amount with the total revenue. If the current sales amount is greater than the total revenue, it updates the top_salesperson variable. This logic ensures that the top salesperson is identified based on the total revenue, not just the last sale. Option B is incorrect because it compares the current sales amount with the total revenue for the region. This is not a valid comparison as the total revenue might be higher than the current sales amount. This code also does not correctly update the top_salesperson variable. Option C is incorrect because it does not correctly compare the current sales amount with the total revenue for the region and does not update the top_salesperson variable when it should. Option D is incorrect because it uses the last.Region condition to identify the top salesperson, but it also groups the data by SalesPerson, which is not necessary to determine the top salesperson for each region. Option E is incorrect because it groups data by both Region and SalesPerson and uses the last.SalesPerson condition to identify the top salesperson. This does not accurately reflect the top salesperson within each region based on total revenue.

NEW QUESTION # 298
You have a dataset 'SalesData' with variables 'Region', 'Product', 'Sales', and 'Discount'. You need to create a new variable 'SalesCategory' that classifies sales based on the following logic: 1. If 'Sales' is greater than 1000 and 'Discount' is greater than 0.1, then assign 'High Sales with Discount'. 2. If 'Sales' is greater than 1000 and 'Discount' is less than or equal to 0.1, then assign 'High Sales without Discount'. 3. If 'Sales' is less than or equal to 1000 and 'Discount' is greater than 0.1, then assign 'Low Sales with Discount'. 4. If 'Sales' is less than or equal to 1000 and 'Discount' is less than or equal to 0.1 , then assign 'Low Sales without Discount'. Which of the following DATA step code snippets will achieve this correctly?

Answer: E

Explanation:
Option B is the correct code snippet because it uses nested IF-THEN/ELSE statements to accurately capture the logic. It checks for the 'Sales' condition first, then uses nested IF-THEN/ELSE within the 'DO' blocks to further categorize based on the 'Discount' value. The other options either miss conditions or dont handle the logic in the correct order.

NEW QUESTION # 299
In your report generation process, you need to display a title spanning two lines, with the first line aligned left and the second line aligned right. Which of the following options correctly achieves this using the TITLE statement?

Answer: B

Explanation:
Option D is the correct way to achieve the desired title format The 'I' symbol within the TITLE statement allows you to specify multiple lines of text The first line is aligned left by default. Using "Generated on &DATE" after the '/' aligns the second line to the right Other options are incorrect because they either use incorrect syntax or don't specify alignment correctly. Option A and C create separate title lines without specific alignment Option B uses LEFT and RIGHT keywords which are not valid within the TITLE statement. Option E uses ALIGN-RIGHT, which only applies to the entire TITLE statement, not individual lines.

NEW QUESTION # 300
You are working with a SAS program that reads data from a file and performs some calculations. The program runs without errors, but the results seem incorrect. You suspect that the program is not reading the data correctly from the file. Which of the following would be a likely cause of this issue?

A. An incorrect file path specified in the INFILE statement.
B. A missing semicolon at the end of a statement
C. A syntax error in the INPUT statement
D. An incompatible data type used in the INPUT statement.
E. A logic error in the data step that is causing incorrect calculations.

Answer: A,D

Explanation:
Options C and D are likely causes of the problem. An incorrect file path in the INFILE statement would prevent the program from reading the data correctly. Similarly, an incompatible data type used in the INPUT statement could lead to data being read incorrectly, resulting in inaccurate calculations. Option A, a syntax error in the INPUT statement, would likely cause the program to stop running. Option B, a logic error in the data step, could lead to incorrect calculations, but it would not necessarily prevent the data from being read correctly. Option E, a missing semicolon, is a syntax error and would prevent the program from running successfully. Therefore, the most likely causes of the problem are an incorrect file path or an incompatible data type.

NEW QUESTION # 301
......

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A00-215 VALID TEST ONLINE, A00-215 RELIABLE BRAINDUMPS BOOK

A00-215 Valid Test Online, A00-215 Reliable Braindumps Book