SASInstitute certification A00-215 exam targeted exercises
SASInstitute certification A00-215 exam targeted exercises
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The SASInstitute A00-215 certification exam is one of the hottest certifications in the market. This SASInstitute A00-215 exam offers a great opportunity to learn new in-demand skills and upgrade your knowledge level. By doing this successful A00-215 SAS Certified Associate: Programming Fundamentals Using SAS 9.4 exam candidates can gain several personal and professional benefits.
To prepare for the SASInstitute A00-215 Exam, candidates are recommended to take the SAS Programming 1: Essentials course, which covers the basic concepts of SAS programming, data manipulation, and data analysis. Candidates should also have practical experience working with SAS 9.4 software, which can be gained through internships, projects, or work experience.
>> Valid A00-215 Exam Question <<
Quiz 2025 SASInstitute A00-215: SAS Certified Associate: Programming Fundamentals Using SAS 9.4 – High Pass-Rate Valid Exam Question
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SASInstitute A00-215 Certification Exam is an excellent opportunity for individuals to showcase their SAS programming skills and knowledge. It is also a great way to differentiate themselves from other candidates in the job market. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification can help individuals secure high-paying jobs in data analysis and business intelligence. The SASInstitute A00-215 Certification is valid for three years, after which individuals can renew it by passing the SASInstitute A00-211 (SAS Base Programming for SAS 9) exam.
SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q255-Q260):
NEW QUESTION # 255
You have a dataset with a variable 'SalesAmount' representing sales figures. You need to create a new variable called 'SalesCategory' that categorizes sales based on thresholds: 0-1000 as 'Low', 1001-5000 as 'Medium', and above 5000 as 'High'. Which code snippet correctly uses a FORMAT statement to achieve this?
- A.
- B.
- C.
- D.
- E.
Answer: D
Explanation:
The correct answer is E. The FORMAT statement uses the 'value' option to define the format, mapping numeric ranges to corresponding text values. The format is applied to the 'SalesAmount' variable using the PUT function, creating the 'SalesCategory' variable. Option E correctly defines the thresholds with '5001-' to include all values greater than 5000. Options A, B, C, and D have errors in the format definition, either using incorrect range expressions or not covering all cases.
NEW QUESTION # 256
You submit a program and the SAS log is shown below:
Which statement is true regarding the submitted program?
- A. The DATA step and PROC PRINT steps ran without errors.
- B. The error in the PROC SORT step caused the program to stop processing
- C. The PROC SORT and PROC PRINT steps failed.
- D. All three steps ran successfully
Answer: A
Explanation:
The correct answer is C. The DATA step and PROC PRINT steps ran without errors. In the SAS log shown, there is a clear error in the PROC SORT step because of the use of an incorrect option by ascending Increase which caused the "Variable ASCENDING not found" error. However, the DATA step completed successfully, as indicated by the "NOTE" that follows it, confirming that 56 observations were read from the SASHELP.SHOES data set where Region is Africa. Additionally, the PROC PRINT step also completed successfully, indicated by the "NOTE" at the bottom of the log which confirms that 56 observations were read from the WORK.AFRICA data set, implying the PROC PRINT step executed without issue.
A is incorrect because the error in PROC SORT did not cause the program to stop; SAS continued processing the next steps. B is incorrect because the PROC SORT step did not run successfully. D is incorrect because the PROC PRINT step did not fail; it ran successfully.
References:
* SAS documentation on error messages.
* Understanding the SAS log and error messages.
NEW QUESTION # 257
You have a dataset named 'Customers' with a variable 'Region' containing region names. You want to generate a frequency report for 'Region' where the regions are ordered alphabetically. Which PROC FREQ statement correctly achieves this?
- A.
- B.
- C.
- D.
- E.
Answer: B
Explanation:
The ORDER: option in PROC FREQ allows you to control the order of the rows in the frequency report. ORDER-ALPHA specifically sorts the rows alphabetically. The other options are incorrect: A (ORDER=FREQ): Orders rows by frequency highest to lowest. B (ORDER-DATA): Orders rows based on the data order in the input dataset. C (ORDER=INTERNAL): Orders rows based on the internal SAS sort order, which may vary E (ORDER-FORMAT): Orders rows based on the format used for the variable.
NEW QUESTION # 258
You're working with a SAS program that includes a macro. The SAS log shows the following message:
What is the most likely reason for this warning, and how would you resolve it?
- A. The macro is called with a missing parameter
- B. The macro variable &SIJM is not defined within the macro.
- C. The macro variable &SIJM is not used within the macro.
- D. The macro variable &SIJM is used before it is defined in the current session.
- E. The macro is called before the variable SUM is created-
Answer: B
Explanation:
The warning 'WARNING: Apparent symbolic reference &SUM not resolved" indicates that the macro is trying to use a variable named &SIJM, but it hasn't been defined within the scope of the macro. This means that the macro code is trying to access a variable that doesn't exist within the macro's context. To resolve it, you need to define the macro variable &SUM inside the macro's code. This can be done by assigning a value to it or passing it as a parameter when calling the macro.
NEW QUESTION # 259
Given the data sets AMERICIAN NATIONAL and results in the data set BASEBALL shown below:
Which DATA step correctly creates the BASEBALL data set?
- A. data baseball;
set american (rename=(Team=TeamName)) national;
run; - B. data baseball;
set national American;
run; - C. data baseball;
set American (rename=(TeamName=Team)) national;
run; - D. data baseball;
set american national;
run;
Answer: D
Explanation:
The correct answer is B. The set statement in SAS can concatenate multiple datasets together. The AMERICAN and NATIONAL datasets appear to have the same structure and variables, so the set statement without any options will combine them into one dataset called BASEBALL. The order of the datasets in the set statement determines the order of the observations in the output dataset, and since there is no variable that needs renaming to match between the two datasets, option B is the correct answer.
References:
* SAS documentation on the set statement.
NEW QUESTION # 260
......
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