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最新的 Programming Fundamentals A00-215 免費考試真題 (Q224-Q229):

問題 #224
Which PROC MEANS statement specifies the numeric variables to analyze?

A. CLASS
B. TABLES
C. BY
D. VAR

答案：D

解題說明：
The VAR statement in PROC MEANS is used to specify the variables for which you want to calculate the descriptive statistics such as the mean and standard deviation. You list the names of one or more numeric variables after the VAR statement to include them in the analysis. Therefore, option D is the correct answer.
References
* SAS documentation for PROC MEANS.

問題 #225
You have a dataset with a variable 'Age' containing missing values. You need to create a format that labels all missing values as 'Unknown Age' and all other values as 'Age Provided'. Which PROC FORMAT code snippet achieves this?

答案：D

解題說明：
The correct answer is A- The 'OTHER keyword in PROC FORMAT allows you to define a label for any value that doesn't explicitly match a previous range or value in the format. In this case, 'LOW - HIGH = 'Age Provided" covers all non-missing values, while 'OTHER covers any missing values. Option B uses a period (e), which represents a missing value, but this approach is less flexible for different missing value types. Option C uses the 'MISSING' keyword, which is specific to missing values and might not handle all possible missing value representations. Options D and E are incorrect because they explicitly label only a specific string (blank space or 'Unknown Age').

問題 #226
You have a SAS dataset named 'CUSTOMERS' with variables 'CUSTOMER ID', 'NAME', and 'CITY'. You want to create a report that displays only the customer ID, name, and city for customers residing in 'New York City'. Additionally, you need to display a header with the date and time when the report was generated. Which PROC PRINT statement achieves this, employing the LABEL option to enhance readability and the NOOBS option to eliminate observation numbers?

答案：C

解題說明：
The correct answer is option E It uses the WHERE clause to filter customers residing in 'New York City' selects the desired variables (CUSTOMER ID, NAME, CITY) with the VAR statement, adds labels to each variable using the LABEL option, and suppresses observation numbers with the NOOBS option. It also incorporates the TITLE statement to include the date and time of report generation, making use of the DATE() and TIME() functions for accuracy. Options A, B, C, and D miss some crucial components: A lacks the TITLE statement, B has incorrect label placement, C lacks the title statement, and D uses only the DATE() function for the report's timestamp. Only option E effectively combines all required features for a clear and informative report.

問題 #227
Consider the following SAS code snippet:

The code is intended to assign 'SAN FRANCISCO' to the 'CITY' variable for all customers residing in California ('CA'). However, it is not working as expected. Which of the following adjustments would be MOST effective in identifying the exact cause of the logic error and aiding in debugging the code?

A. Add a 'PUTLOG' statement at the end of the 'DO' loop to track the number of iterations.
B. Use the 'ERROR' option in the 'PUTLOG' statement to generate an error message.
C. Remove the 'PUTLOG' statement completely and use the SAS Log to monitor the executiom
D. Replace 'PUTLOG 'Customer from CA';' with 'PUTLOG CITY;'
E. Add the statement 'PUTLOG STATE,' before the 'IF' statement

答案：E

解題說明：
Adding 'PUTLOG STATE,' before the 'IF' statement will provide valuable information about the actual value of 'STATE' being read for each customer. This can directly pinpoint the root cause of the logic error. For example, if 'STATE' is consistently 'CA', but 'CITY' is not being updated, it suggests a potential issue with the assignment within the 'DO' block. If 'STATE' is not 'CA for some customers, it indicates a potential data inconsistency.

問題 #228
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?

答案：A

解題說明：
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.

問題 #229
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