Base SAS Certification Program

SAS Global Certification program(A00-211)

SAS Certified Base Programmer for SAS 9 Credential


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SAS Certified Base Programmer Exam :

  • Number of Questions: 60-65
  • Item Types: multiple-choice & short-answer questions
  • Exam time: 110 Mins.
  • Passing score: 70%
  • Price: $180 USD

SAS–A00-211 (Exam Sections and Blueprint)

Section #: 01 – Accessing Data
  • Use FORMATTED and LIST input to read raw data files.
  • Use INFILE statement options to control processing when reading raw data files.
  • Use various components of an INPUT statement to process raw data files
  • Combine SAS data sets.
  • Access an Excel workbook.
  • Creating Data Structures
  • Create temporary and permanent SAS data sets.
  • Create and manipulate SAS date values.
  • Export data to create standard and comma-delimited raw data files.
  • Control which observations and variables in a SAS data set are processed and output.
Section #: 02 – Managing Data
  • Investigate SAS data libraries using base SAS utility procedures.
  • 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.
  • Process data using one-dimensional SAS arrays.
  • Validate and clean data
Section #: 03 – Generating Reports
  • Static Techniques and the Test Process
  • Generate list reports using the PRINT procedure.
  • Generate summary reports and frequency tables using base SAS procedures.
  • Enhance reports through use of formats, titles, footnotes & SAS System reporting.
  • Generate reports using ODS statements.
  • Handling Errors
  • Identify and resolve programming logic errors.
  • Recognize and correct syntax errors.
  • Examine and resolve data errors.

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