SASInstitute SAS Advanced Programming Exam for SAS 9 : A00-212 exam

A00-212
  • Exam Code: A00-212
  • Exam Name: SAS Advanced Programming Exam for SAS 9
  • Updated: Aug 22, 2026
  • Q & A: 185 Questions and Answers

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About SASInstitute SAS Advanced Programming Exam for SAS 9 : A00-212 Exam Questions

SASInstitute A00-212 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Create and use user-defined and automatic macro variables within the SAS Macro Language
Topic 2
  • Accessing Data Using SQL
Topic 3
  • Advanced Programming Techniques.

Reference: https://www.sas.com/en_us/certification/credentials/foundation-tools/advanced-programmer.html

Topics of A00-212 : SAS Advanced Programming for SAS 9 Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our A00-212 : SAS Advanced Programming for SAS 9 Dumps will include the following topics:

1. Accessing Data Using SQL

Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure.

  • Validate a query.
  • Combine tables using set operators - union, outer join, except, intersect.
  • Use the SELECT statement.
  • Retrieve rows that satisfy a condition.
  • Select columns in a table.
  • Create new columns.
  • Join tables - inner joins, full joins, right joins, left joins.
  • Sort data.

Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure.

  • Summarize data.
  • Group data.
  • Filter grouped data.

Construct sub-queries and in-line views within an SQL procedure step.

  • Subset data by using correlated subqueries.
  • Subset data by using non-correlated subqueries (HAVING clause).
  • Reference an in-line view with other views or tables (multiple tables).

Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.

  • Create SAS Data sets (tables).
  • Alter columns attributes.
  • Insert rows into tables.
  • Create an index.
  • Delete a table.
  • Use SAS data set options with PROC SQL.
  • Use PROC SQL with the SAS Macro Facility.
  • Delete rows.
  • Update data values in a table.

Access Dictionary Tables using the SQL procedure.

  • Access SAS system information by using DICTIONARY tables.
  • Use the DESCRIBE TABLE statement.

2. Macro Processing

Create user-defined and automatic macro variables within the SAS Macro Language.

  • Define Macro variables.
  • Use %LOCAL statement.
  • Use the SYMGET function to return the value of a macro variable to the DATA step during DATA step execution.
  • Use %GLOBAL statement.
  • Use INTO clause of the SELECT statement in SQL.
  • Use the SYMPUT and SYMPUTX routine in the DATA Step.
  • Use %INPUT statement.

Automate programs by defining and calling macros using the SAS Macro Language.

  • Insert comments into macros.
  • Pass information into a macro using parameters.
  • Generate SAS Code conditionally by using the %IF-%THEN-%ELSE macro statements or iterative %DO statements.
  • Use the %MACRO statement.
  • Define a macro.

Understand the use of macro functions.

  • Insert comments into macros.
  • Pass information into a macro using parameters.
  • Generate SAS Code conditionally by using the %IF-%THEN-%ELSE macro statements or iterative %DO statements.
  • Use the %MACRO statement.
  • Define a macro.

Use various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log.

  • Examine the generated SAS statements with MPRINT.
  • Use the %PUT statement to track problems.
  • Examine macro variable resolution with SYMBOLGEN.
  • Trace the flow of execution with MLOGIC.
  • Use system options to track problems.

Create data-driven programs using SAS Macro Language.

  • Create macro variables with a list of values.
  • Generate repetitive macro calls using the %DO loop, macro variable, and the EXECUTE routine.
  • Use indirect reference to macro variables.

3. Advanced Programming Techniques

Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and merging.

  • Compare DATA step match-merge and PROC SQL joins.
  • Create custom formats with the PICTURE statement.
  • Combine multiple data sets using FILEVAR= option.
  • Combine data using multiple set statements with KEY= option.
  • Manage custom formats with FMTSEARCH= system option.
  • Process data with multi-dimensional arrays.
  • Use hash objects as lookup tables.
  • Use formats to create data via lookups.
  • Combine data conditionally using multiple set statements.

Reduce computing resource requirements by controlling the space required to store SAS data sets.

  • Eliminate variables and observations.
  • Use compression techniques, RLE (Run-Length Encoding) and RDC (Ross Data Compression).
  • Use SAS views.
  • Reduce length of numeric variables.

Use the FCMP procedure to create a user-defined function.

  • Define a SAS function

Perform effective benchmarking.

  • Use SAS System options to track resources.
  • Understand resources related to efficiency.
  • Interpret the resulting resource utilization statistics for the Z/OS environment and for directory based OS.

Use SAS indexes.

  • Identify appropriate applications for using indexes.
  • Create and delete indexes using the DATA step, the DATASETS procedure, or the SQL procedure.

Compare techniques to eliminate duplicate data.

  • Use the DATA step.
  • Use the SORT procedure.
  • Use the SQL procedure.

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