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最新的 Programming Fundamentals A00-215 免費考試真題 (Q172-Q177):

問題 #172
You have a dataset 'CUSTOMERS' with variables 'CUSTOMER ID', 'NAME', 'CITY', and 'STATE'. You want to create a new dataset 'NEW CUSTOMERS' containing only observations from the 'CUSTOMERS' dataset where the 'STATE' is either 'CA' or 'NY'. You also want to add a new variable called 'REGION' to the 'NEW CUSTOMERS dataset, assigning 'West' for CA customers and 'East' for NY customers. Which of the following DATA step code snippets will achieve this?

答案：B,E

解題說明：
Both options D and E correctly filter the observations based on the state and assign the region accordingly Option D uses the WHERE statement with the IN operator to filter the observations based on the state, while Option E uses the WHERE statement and the OUTPUT statement to explicitly output the desired observations. Options A, B, and C either miss the filtering step or incorrectly assign regions. Option C is wrong because it doesn't create a new dataset for the output.

問題 #173
You have a dataset with a variable 'Age' representing customer ages in years. You want to present this data in a report with age categories like Young Adult' (18-25), 'Adult' (26-45), 'Middle-Aged' (46-65), and 'Senior' (66+). Which of the following approaches is the most effective for applying the correct age category label using the FORMAT statement for temporary attributes?

A. Use a separate FORMAT statement for each age category defining the range within each format definition-
B. Create a custom format using a macro that dynamically defines the age category based on the 'Age' value.
C. Use a single FORMAT statement with a series of nested IF statements to determine the appropriate age category based on the value of 'Age'
D. Use a PROC FORMAT step to create a permanent format mapping age ranges to category labels, and apply this format to the 'Age'
E. variable.Use a SAS data step to create a new variable representing the age category using the IF-THEN/ELSE statements and assign the appropriate label to the variable.

答案：B

解題說明：
The most effective approach is to create a custom format using a macro that dynamically defines the age category based on the 'Age' value. This allows for easy modification of the age ranges and category labels without changing the main program logic. While other methods like separate FORMAT statements or nested IF statements are possible, they lack flexibility and can become cumbersome with multiple categories. Creating a permanent format in PROC FORMAT is suitable for consistent age categorization across multiple reports, but it requires a separate step and may not be ideal for changing age categories. Using a SAS data step with IF-THEN/ELSE statements is another viable option, but it adds an extra step to the data processing. Therefore, option C, using a custom format with a macro, offers the best combination of efficiency and flexibility.

問題 #174
You are analyzing a SAS dataset named 'CUSTOMER DATA' with several variables including 'CUSTOMER ID', 'NAME', 'AGE', 'CITY', and 'INCOME'. You want to create a new variable called 'INCOME GROUP based on the 'INCOME' variable, where 'INCOME GROUP is a character variable with values 'LOW', 'MEDIUM', and 'HIGH' based on income ranges. Which of the following SAS code snippets correctly defines the 'INCOME GROUP' variable with the desired character values?

答案：C

解題說明：
The correct code snippet is option C. It uses the 'length' statement to define the 'INCOME_GROUP' variable as a character variable with a length of 5, allowing it to hold the 'LOW', 'MEDIUM', and 'HIGH' values. Options A and D do not explicitly define 'INCOME_GROUP' as a character variable, so they might lead to unexpected results. Option B uses the 'format' statement to apply a format to the variable, which doesnt change its underlying type. Option E uses the 'input' function to convert a character value to a numeric value, which is not the desired outcome in this case.

問題 #175
You have a SAS data set called 'raw_data' with variables 'name', 'city', 'age', and 'occupation'. You want to create a new data set called 'processed_data' that contains only observations where the 'occupation' is 'Doctor' or 'Nurse' and the 'age' is greater than 40. You also want to add a new variable 'status' to the processed data set. The 'status' variable should be assigned 'High Risk' if the 'age' is greater than 60, 'Medium Risk' if the age is between 40 and 60, and 'Low Risk' if the age is less than 40. Which of the following code snippets correctly implements this transformation?

答案：C

解題說明：
The correct answer is E. Here's why: 1. Filtering: The code correctly filters observations where the 'occupation' is either 'Doctor' or 'Nurse' and 'age' is greater than 40. This is achieved using the 'if occupation in ('Doctor', 'Nurse') and age > 40 then do;' statement. 2. Status Variable: The code correctly assigns the 'status' variable based on the 'age' criteria: - If age is greater than 60, 'status' is assigned 'High Risk'. - If age is between 40 and 60, 'status' is assigned 'Medium Risk'. - If age is less than 40, 'status' is assigned 'Low Risk'. This is implemented using the nested IF-THEN-ELSE statements. 3. Logical Operators: The code uses the correct logical operators and conditions to ensure that the 'status' variable is assigned correctly for each observation that passes the initial filtering criteria. Why other options are incorrect: - A: The 'Low Risk' condition is not correctly implemented in the ELSE statement. - B: The code only checks for the 'Medium Risk' condition and does not consider the other risk categories. - C: The 'Medium Risk' condition is not correctly implemented in the ELSE IF statement. - D: While the code includes all three risk categories, the condition for 'Medium Risk' is unnecessarily complex and can lead to potential errors.

問題 #176
You have a dataset named 'SALES' with columns 'REGION', 'PRODUCT', and 'AMOUNT'. You want to create a new dataset named 'HIGH SALES' containing only the records where 'AMOUNT is greater than 1000, and only the 'REGION' and 'PRODUCT' columns should be included. Which SAS code snippet would correctly achieve this?

答案：B

解題說明：
The correct answer is option D. It uses the 'output' statement to write only those records that meet the condition 'AMOUNT > 1000' to the new dataset 'HIGH_SALES'- The 'keep=REGlON PRODUCT' clause ensures that only the specified columns are included in the output dataset. Option A uses a semicolon instead of 'then' after the 'if statement, which is incorrect syntax- Options B and C incorrectly use a semicolon after 'if statement and do not include the 'keep' option- Option E includes 'drop' option, which will remove the 'AMOUNT' column from the output dataset, while the question asks for 'REGION' and 'PRODUCT' to be included.

問題 #177
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