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Candidates who successfully pass the SAS Base Programming for SAS 9 exam can earn the SAS Certified Base Programmer for SAS 9 credential. SAS Base Programming for SAS 9 (A00-211日本語版) certification serves as a testament to a candidate's ability to work with SAS software, and it can be particularly beneficial for those who are pursuing careers in data analysis, business intelligence, or data management. It is also beneficial for professionals looking to enhance their analytical and programming skills using SAS software.
SASInstitute A00-211 exam consists of 65 multiple-choice questions that must be answered within a two-hour time frame. A00-211-JPN exam tests the candidate’s knowledge of SAS programming basics, understanding of data and statistical analysis techniques, and ability to manipulate and format data, among others. Candidates who pass A00-211-JPN exam earn a SAS Base Programming for SAS 9 credential, which is widely recognized by employers as evidence of the candidate's expertise in SAS programming. Additionally, the certification serves as a foundation for further advanced SAS certifications.
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SASInstitute A00-211日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Accessing and Creating Data Structures | 25-30% | - Importing and exporting external files (CSV, Excel, etc.) - Reading and combining data sets - Compilation and execution of DATA step - Creating temporary and permanent SAS data sets |
| Fundamental SAS Concepts | 20-25% | - SAS syntax rules, DATA and PROC steps - SAS log interpretation and error identification - SAS libraries and LIBNAME statements - Data set and variable naming conventions |
| Generating Reports and Output | 15-20% | - Customizing reports: titles, footnotes, labels - PROC SORT and PROC FORMAT - PROC PRINT, PROC FREQ, PROC MEANS - Output Delivery System (ODS) basics |
| Data Manipulation Using DATA Step | 25-30% | - Conditional processing and IF/THEN statements - Using SAS functions (character, numeric, date) - Creating and modifying variables - DO loops and iterative processing - Subsetting observations and variables |






