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

A00-212

Exam Code: A00-212

Exam Name: SAS Advanced Programming Exam for SAS 9

Updated: Jun 13, 2026

Q & A: 185 Questions and Answers

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For more info visit:

SAS Macro Language 1: Essentials SAS Programming 3: Advanced Techniques and Efficiencies SAS SQL1: Essentials

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

What is the duration, language, and format of A00-212 : SAS Advanced Programming for SAS 9 Exam

  • Number of Questions: 65-70 multiple-choice and short-answer questions.(Must achieve score of 65 percent correct to pass).
  • Language: Czech, simplified Chinese, traditional Chinese, Dutch, English (UK), English (US), French, German, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Portuguese (Brazil), Russian, Slovak, Spanish, Spanish (Latin America), Thai, Turkish, and Vietnamese
  • Format: Multiple choices, multiple answers
  • Length of Examination: 120 minutes
  • Passing score: 65%

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.

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

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

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

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

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

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

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

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

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

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

Understand the use of macro functions.

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

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

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

Create data-driven programs using SAS Macro Language.

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

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

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

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

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

  • Define a SAS function

Perform effective benchmarking.

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

Use SAS indexes.

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

Compare techniques to eliminate duplicate data.

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

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