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Introduction to A00-211 : SAS Certified Base Programmer for SAS 9 Exam
According to SAS, SAS® Certified Advanced Programmer for SAS®9 this credentials signifies the upper echelon of SAS programmers who demonstrate a high level of proficiency in SAS® programming expertise.
A00-211 : SAS Certified Base Programmer for SAS 9 Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a advanced programmer in the Company.
A00-211 : SAS Certified Base Programmer for SAS 9 exam covers the basic and advanced concepts of advanced DATA step programming statements and efficiency techniques to solve complex problems,writing and interpreting SAS SQL code,creating and using the SAS MACRO facility.
After passing this exam, candidates get a certificate from SAS that helps them to demonstrate their proficiency in A00-211 : SAS Certified Base Programmer for SAS 9 to their clients and employers.
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Topics of A00-211 : SAS Certified Base Programmer for SAS 9 Exam
Candidates should apprehend the examination topics before they begin of preparation. because it'll extremely facilitate them in touch the core. Our A00-211 Dumps will include the following topics:
1. Accessing Data
- Combine SAS data sets.
- Use various components of an INPUT statement to process raw data files including column and line pointer controls, and trailing @ controls.
- Use FORMATTED and LIST input to read raw data files.
- Use INFILE statement options to control processing when reading raw data files.
- Access an Excel workbook.
2. Creating Data Structures
- Export data to create standard and comma-delimited raw data files.
- Create temporary and permanent SAS data sets.
- Control which observations and variables in a SAS data set are processed and output.
- Create and manipulate SAS date values.
3. Managing Data
- Accumulate sub-totals and totals using DATA step statements.
- Process data using SAS arrays.
- Conditionally execute SAS statements.
- Process data using DO LOOPS.
- Sort observations in a SAS data set.
- Use assignment statements in the DATA step.
- Use SAS functions to convert character data to numeric and vice versa.
- Use SAS functions to manipulate character data, numeric data, and SAS date values.
- Validate and clean data.
- Modify variable attributes using options and statements in the DATA step.
- Investigate SAS data libraries using base SAS utility procedures.
4. Generating Reports
- Generate list reports using the PRINT procedure.
- Generate reports using ODS statements.
- Generate summary reports and frequency tables using base SAS procedures.
- Enhance reports through the use of user-defined formats, titles, footnotes and SAS System reporting.
5. Handling Errors
- Identify and resolve programming logic errors.
- Examine and resolve data errors.
- Recognize and correct syntax errors.
It is universally acknowledged that the SAS Base Programming for SAS 9 certification is of great importance in this industry. The person qualified by A00-211 certification has more possibilities to get their desired job easier and get promoted faster. However, passing the SAS Base Programming for SAS 9 actual exam is the only way to get the certification, which is a big challenge for many people. So in order to solve the problem of you, we have tried our best to edit the most valid SAS Base Programming for SAS 9 valid actual test for all of you.
SASInstitute A00-211 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Accessing Data | - Importing external data sources - Reading raw data files |
| Topic 2: Combining and Restructuring Data | - Reshaping data - Merging data sets - Concatenating data sets |
| Topic 3: Generating Reports and Output | - Output Delivery System (ODS) - PROC PRINT and basic reporting |
| Topic 4: Data Manipulation | - Using functions and formats - Conditional processing - Creating and modifying variables |
| Topic 5: Getting Started with SAS | - SAS data sets and libraries - SAS environment and program structure |
| Topic 6: Error Handling and Debugging | - Identifying program errors - Data validation techniques |





