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SAS 9.4 Base Programming - Performance-Based Exam
The SAS Base Programming Specialist (A00-231) exam is a comprehensive assessment designed to evaluate a candidate's proficiency in applying specific knowledge they have acquired through SAS software training and/or job experience. In order to prepare for this exam, it is essential to have a deep understanding of SAS 9.4 M5 and the various applications of this software. Candidates who perform well on this exam will be able to demonstrate their ability to analyze complex data sets using SAS software.
In addition to Pearson VUE, exams are also held at various locations around the world on a pre-scheduled basis, providing candidates with a greater degree of flexibility when it comes to scheduling their exams. This allows individuals to tailor their exam preparation to their specific needs and availability, ensuring that they are able to perform at their best on exam day.
Exam Details
Exam Name: SAS 9.4 Base Programming - Performance-Based Exam
Exam Code: A00-231
Exam Conducted: This exam is administered by SAS and Pearson VUE.
Total Questions: 40-45 multiple-choice and short-answer questions.
Exam Duration: 135 minutes to complete the exam.
Exam Price: $180 USD
Passing score: 725 (score range from 200 to 1,000 points).
Exam Format: This exam is based on SAS 9.4 M5.
Exam Content
Access and Create Data Structures: 20-25%
Create temporary and permanent SAS data sets.
Investigate SAS data libraries using base SAS utility procedures.
Access data.
Combine SAS data sets.
Create and manipulate SAS date values.
Control which observations and variables in a SAS data set are processed and output.
Manage Data: 35-40%
Sort observations in a SAS data set.
Conditionally execute SAS statements.
Use assignment statements in the DATA step.
Modify variable attributes using options and statements in the DATA step.
Accumulate sub-totals and totals using DATA step statements.
Use SAS functions to manipulate character data, numeric data, and SAS date values.
Use SAS functions to convert character data to numeric and vice versa.
Process data using DO LOOPS
Restructure SAS data sets with PROC TRANSPOSE.
Use macro variables to simplify program maintenance.
Error Handling: 15-20%
Identify and resolve programming logic errors.
Recognize and correct syntax errors.
Generate Reports and Output: 15-20%
Generate list reports using the PRINT procedure.
Generate summary reports and frequency tables using base SAS procedures.
Enhance reports system user-defined formats, titles, footnotes and SAS System reporting options.
Generate reports using ODS statements.
Export data