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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q258-Q263):

NEW QUESTION # 258
You are analyzing a dataset with variables 'CUSTOMER_NAME', 'ORDER DATE', and 'ORDER VALUE'. You need to create a new variable 'ORDER DAY' that extracts the day of the week from 'ORDER DATE' (e.g., 'Monday', 'Tuesday', etc.). Which of the following SAS code snippets will accomplish this task correctly?

Answer: E

Explanation:
The correct answer is C. The PUT function with the WEEKDATE. format is used to convert a date value to a day ofthe week in textual format (e.g., 'Monday', 'Tuesday', etc.). Option A, DAY function, extracts the day of the month, not the day of the week. Option B, WEEKDAY function, returns a numeric value representing the day of the week (1-7). Option D, while using WEEKDATE format, applies an unnecessary upcase function. Option E, SCAN function, tries to extract the first word from ORDER DATE assuming its a string, which may not be the intended behavior in this scenario. Understanding how date formats work and utilizing functions specifically designed for date manipulations is crucial for working with date variables in SAS.

NEW QUESTION # 259
You have a SAS dataset named 'CUSTOMERS' with variables 'NAME', 'AGE', 'CITY', and 'STATE'. You need to create a new dataset named YOUNG CUSTOMERS' containing only customers under 30 years old, residing in 'New York' state and having a name starting with 'J'. Which WHERE statement would you use in the DATA step?

A. WHERE AGE < 30 AND STATE = 'New York' AND NAME LIKE 'J%'
B. WHERE AGE < 30 AND STATE = 'New York' AND NAME LIKE 'J%'
C. WHERE AGE < 30 AND STATE = 'NY AND NAME STARTS WITH
D. WHERE AGE < 30 AND STATE = 'New York' AND SUBSTR(NAME, 1, 1) =
E. WHERE AGE < 30 AND STATE = 'NY AND NAME CONTAINS 'J';

Answer: A

Explanation:
Option A uses the correct syntax for the WHERE statement and correctly combines the conditions- Option Buses the 'STARTS WITH' function which is not a valid SAS function. Option C uses the SUBSTR function, which is not commonly used for this purpose in the WHERE statement Option D uses the 'CONTAINS' function which is not a valid SAS function- Option E is the same as option A, making it redundant The WHERE clause is applied during the data step's input phase, selectively reading only the observations that meet the specified conditions.

NEW QUESTION # 260
You have a dataset called 'SALES' with variables 'REGION', 'PRODUCT', and 'SALES AMOUNT'. You want to calculate the average sales amount for each region, but only for products with a sales amount greater than 1000. Which SAS code snippet would accomplish this?

Answer: B

Explanation:
Option C is the correct answer- It uses the PROC MEANS procedure to calculate the mean of 'SALES_AMOUNT' for each region. The WHERE clause ensures that only sales amounts greater than 1000 are included in the calculation. The OUTPUT statement creates a new dataset called 'SALES SUMMARY with the calculated averages. Option A and D are incorrect because they calculate the average within the data step without grouping by region. Option B is incorrect because it does not filter for sales amounts greater than 1000. Option E is incorrect because it uses PROC SQL which is a different approach from the DATA step.

NEW QUESTION # 261
You are working on a complex SAS program that involves multiple data steps and procedures. During testing, you discover that the program is producing incorrect results. You suspect a logic error within a specific data step, but the SAS Log is not providing sufficient information to pinpoint the problem. Which of the following approaches would be MOST effective in diagnosing the logic error in this scenario?

A. Use the 'PUTLOG' statement to print the values of all variables within the data step after each iteration.
B. Utilize the 'PROC CONTENTS' procedure to inspect the structure and contents of the datasets involved in the data step.
C. Employ the 'PROC SQL' procedure to query the data within the data step, enabling a structured analysis of the data flow.
D. Add a 'STOP' statement to the data step, pausing execution to manually inspect the values of variables at different points.
E. Utilize the 'OPTIONS' statement to enable the 'NOTE' option, providing more verbose information about the program's execution in the SAS Log.

Answer: A,D

Explanation:
Both 'PUTLOG' and 'STOP' can be valuable debugging techniques in this complex scenario. PUTLOG: By printing the values of all variables at each iteration, you can meticulously track the data flow within the data step, revealing discrepancies or unexpected changes in variable values that might be contributing to the logic error. This approach allows for dynamic debugging during program execution, enabling you to analyze the data step's behavior step-by-step. STOP The 'STOP' statement allows for a more controlled debugging process, pausing execution at specific points within thedata step. This enables you to manually inspect the values of variables and analyze the data at that particular stage of processing. By strategically placing 'STOP' statements, you can pinpoint the exact location where the logic error occurs and investigate the discrepancies in variable values leading to the incorrect results.

NEW QUESTION # 262
You are working with a dataset containing customer demographics. You want to create a custom format that labels missing values for the 'Age' variable as 'Unknown'. Which PROC FORMAT code snippet correctly defines the custom format using the keyword 'OTHER' for this scenario?

Answer: B

Explanation:
The correct answer is Option A. The keyword 'OTHER' in PROC FORMAT is used to label any value that doesnt match a defined format value, including missing values. While options B and C try to use '.' or 'MISSING' directly, 'OTHER' is the correct approach for handling all uncategorized values, including missing ones. Options D and E are incorrect because they unnecessarily duplicate the 'OTHER' and '.' or 'MISSING' keywords, potentially leading to unintended behavior.

NEW QUESTION # 263
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Instant SASInstitute A00-215 Discount | Valid A00-215 Test Prep

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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q258-Q263):

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