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SASInstitute A00-215 Certification Exam is an excellent way for individuals to demonstrate their proficiency in SAS programming. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is recognized globally and is highly valued by organizations in various industries. Additionally, the certification provides individuals with an opportunity to enhance their skills and knowledge in SAS programming, making them more marketable and competitive in the job market.
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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q265-Q270):
NEW QUESTION # 265
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?
Answer: A,C
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 # 266
You have a dataset with a character variable 'PRODUCT ID' that stores product identifiers in the format 'ABC- 12345'. You need to create a new variable 'PRODUCT TYPE' that stores the first three characters of the 'PRODUCT_ID' variable. The 'PRODUCT TYPE' variable should have a length of 3 bytes. Additionally, if the 'PRODUCT ID' variable is missing, the 'PRODUCT TYPE' variable should be assigned the value 'N/A'. Which code snippet correctly creates the 'PRODUCT TYPE' variable?
Answer: B,E
Explanation:
The correct answers are and Both options achieve the desired outcome by using the LENGTH statement to define the length of the 'PRODUCT _ TYPE' variable and the IF statement to handle missing values in the 'PRODUCT ID' variable. Option uses a single IF statement to check for missing values and assign the 'PRODUCT _ TYPE' variable accordingly- Option uses a DO loop within the IF statement to improve code readability and maintain the same logic. Option , is incorrect because it assigns 'N/A' when 'PRODUCT_ID' is missing but doesn't extract the product type when 'PRODUCT_ID' is not missing- Option is incorrect because it assigns the length of 'PRODUCT _ TYPE' to 3 twice, which is unnecessary Option is incorrect because it creates a redundant DO loop within the IF statement, which doesnt enhance the logic and increases code complexity.
NEW QUESTION # 267
You have a SAS dataset called 'SALES' with variables 'Region', 'Product', and 'SalesAmount'. You need to create a report that displays the total sales amount for each region, but only for products with a 'Product' value of 'A' or 'B'. Which of the following PROC SQL statements would achieve this?
Answer: A,E
Explanation:
Both options A and B will achieve the desired result- Option A uses the 'IN operator to check if the 'Product' value is either 'A' or Option B uses the 'OR' operator to achieve the same result Both options correctly group the data by 'Region' and calculate the total sales amount using the SUM function. Option C uses the 'AND' operator, which will only select observations where 'Product' is both 'A' and which is not what is desired. Option D groups the data by both 'Region' and 'Product, which will give a separate total sales amount for each product within each regiom Option E uses a HAVING clause, which is applied after the GROUP BY operation and is used to filter groups based on aggregate functions, not individual observations.
NEW QUESTION # 268
Which statement is true when creating two SAS data sets with a DATA step?
Answer: A
Explanation:
When creating two SAS data sets with a DATA step, you should name both data sets in the DATA statement.
This tells SAS to create two separate data sets from the same DATA step. Using an OUT= option in the WHERE statement or a PUT statement are not correct methods for creating data sets. A SET statement is used to read data into the DATA step, not to create output data sets.
References:
* SAS documentation on the DATA step for creating multiple data sets.
NEW QUESTION # 269
You are analyzing a dataset containing customer transactions with a 'Transaction_Date' variable in the format 'YYMMDDI You need to create a new variable called 'Days_Since Last_Transaction' that calculates the number of days between each transaction for each customer, sorted by 'CustomerlD' and 'Transaction_Date'. Which code snippet correctly performs this calculation?
Answer: C
Explanation:
The correct answer is "A". The 'intck' function is used to calculate the number of intervals between two dates. In this case, we are using the ''days" interval to calculate the number of days between the current transaction date and the previous transaction date for each customer. The 'lag' function is used to access the value of the previous observation for the same variable. Option B is incorrect because it calculates the difference in days between the current transaction date and the previous transaction date, which is the opposite of what we want to achieve. Option C is incorrect because it uses the ''day" interval instead of the ''days" interval. Option D is incorrect because it uses the 'intnx' function, which is used to add or subtract a specified number of intervals from a date. Option E is incorrect because it simply subtracts the previous transaction date from the current transaction date, which does not accurately calculate the number of days between them.
NEW QUESTION # 270
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