SAS Global Certification program(A00-212)

SAS Certified Advanced Programmer for SAS 9 Credential

SAS Certified Advanced Programmer Exam :
  • Number of Questions: 60-65
  • Item Types: multiple-choice & short-answer questions
  • Exam time: 120 Mins.
  • Passing score: 65%
  • Price: $180 USD

SAS–A00-212 (Exam Sections and Blueprint)

Section #: 01 - Accessing Data Using SQL
  • Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Construct sub-queries and in-line views within an SQL procedure step.
  • Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.
  • Access Dictionary Tables using the SQL procedure.
Section #: 02 - Macro Processing
  • Create and use user-defined and automatic macro variables within the SAS Macro Language.
  • Automate programs by defining and calling macros using the SAS Macro Language.
  • Understand the use of macro functions.
  • Use various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log.
  • Create data-driven programs using SAS Macro Language.
  • Advanced Programming Techniques
  • Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and combining/merging data.
  • Reduce computing resource requirements by controlling the space required to store SAS data sets using compression techniques, length statements, or eliminating variables and observations.
  • Develop SAS programs which incorporate data step views and use the FCMP procedure.
  • Perform effective benchmarking by using the appropriate SAS System options and interpreting the resulting resource utilization statistics.
  • Identify appropriate applications for using indexes and create them using the DATA step, the DATASETS procedure, or the SQL procedure.
  • Compare techniques to eliminate duplicate data using the DATA step, the SORT procedure, and the SQL procedure.

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