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SASInstitute A00-215 Exam is a crucial step towards demonstrating proficiency in SAS programming and attaining the SAS Certified Associate credential. With its focus on fundamental programming skills, the exam is suitable for those with limited SAS experience and can help individuals gain recognition for their skills and expertise in SAS programming.
The SASInstitute A00-215 exam is designed to test the candidate's knowledge in several areas, including data input and manipulation, SAS programming fundamentals, SAS data structures, debugging techniques, and SAS output. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification is an excellent way for individuals to demonstrate their SAS programming skills and showcase their expertise in the field.
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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q330-Q335):
NEW QUESTION # 330
You need to analyze survey data, where each respondent can provide multiple answers to a question. You want to calculate the frequency of each answer choice for each survey question. Which of the following code snippets would correctly achieve this, using BY group processing with FIRST. and LAST. To accumulate in groups?
Answer: A
Explanation:
Option B is the correct solution- It uses the BY group processing with question id and answer, which ensures the count is reset for each unique answer within each question. The code initializes answer_count to 0 at the beginning of each new question and answer combination and increments it for each occurrence. Options A and D only reset the count at the start of each question, not each answer within the question. Options C and E are incorrect, as they either do not reset the count per question or do not group by both question id and answer.
NEW QUESTION # 331
What is the default byte size of a numeric variable?
Enter your numeric answer in the space above.
Answer:
Explanation:
8
Explanation:
The default length of numeric variables in SAS data sets is 8 bytes.
In SAS, the default byte size of a numeric variable is 8 bytes. This allows for a significant amount of precision and a wide range of numeric values to be stored within a numeric variable, regardless of the actual number of digits in the number being stored.
References:
* SAS documentation on numeric variables, SAS Institute.
NEW QUESTION # 332
You are working with a SAS report generated using ODS. You need to export this report to both PDF and RTF formats. The RTF file should be named 'report.rtf' and the PDF file should be named 'report.pdf. Which of the following code snippets correctly achieves this?
Answer: C
Explanation:
This code snippet correctly defines separate ODS destinations for PDF and RTF files, ensuring that the report is exported to both formats with the specified file names. The other options contain errors: Option B uses 'ODS OUTPUT' incorrectly; Options C and E try to define multiple destinations within a single ODS statement, which is not allowed. Option D uses 'ODS OUTPUT' without specifying any destination, so it will not export the report to any external files.
NEW QUESTION # 333
You are creating a report using PROC SQL to summarize sales dat
a. You want to add a title to the report that includes the current month and year. Which of the following code snippets will achieve this, assuming today is 2024-03-15?
Answer: C
Explanation:
Option C is the correct answer. It uses the MONTH and YEAR functions to extract the current month and year from the DATE() function and then uses the PUT function to format them appropriately within the TITLE statement. Options A, B, D and E are incorrect. Option A will display the title with the hard coded month and year. Option B and D will display the title with the current date and year, but not with the correct format. Option E will display the title with the system date in DDMMYY format. Macros are not supported in PROC SQL.
NEW QUESTION # 334
You have a dataset 'CUSTOMERS' with variables 'CUSTOMER ID', 'NAME', and 'CITY'. You want to create a new dataset 'NEW CUSTOMERS' containing only the records where the 'CITY' variable is missing (missing value). Additionally, you want to add a new variable named 'STATUS' with a default value 'NEW' for all observations in the 'NEW CUSTOMERS' dataset. Which SAS code snippet would achieve this?
Answer: A
Explanation:
The correct answer is option D. It uses the 'missing(ClTY)' function to select records where the 'CITY variable is missing- The 'output' statement writes these selected records to the new dataset 'NEW_CUSTOMERS'. The 'STATUS' variable is assigned a value of 'NEW' for all observations in the 'NEW_CUSTOMERS' dataset. Option A and B include the 'drop' option, which would remove the 'CITY' variable from the output dataset, but the question asks for all variables to be included. Option C incorrectly uses a semicolon after the 'if statement Option E incorrectly uses a semicolon after 'if statement and does not include 'then' keyword after 'if statement.
NEW QUESTION # 335
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