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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.

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

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

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

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

  • Subset data by using non-correlated subqueries (HAVING clause).
  • Reference an in-line view with other views or tables (multiple tables).
  • 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.
  • Create an index.
  • Insert rows into tables.
  • Update data values in a table.
  • Create SAS Data sets (tables).
  • Use SAS data set options with PROC SQL.
  • Delete a table.
  • Delete rows.
  • Alter columns attributes.

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 INTO clause of the SELECT statement in SQL.
  • Use %INPUT statement.
  • 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 %GLOBAL statement.
  • Define Macro variables.
  • Use %LOCAL statement.

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

  • Define a macro.
  • 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.

Understand the use of macro functions.

  • Define a macro.
  • 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.

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

Create data-driven programs using SAS Macro Language.

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

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

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 SORT procedure.
  • Use the SQL procedure.

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Introduction to A00-212 : SAS Advanced Programming 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.

A00-212 : SAS Advanced Programming 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.

A00-212 : SAS Advanced Programming 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 A00-212 : SAS Advanced Programming for SAS 9 to their clients and employers.

SASInstitute A00-212日本語 Exam Syllabus Topics:

SectionObjectives
Advanced Data Manipulation- Data transformation techniques
- DO loops and iterative processing
- Array processing
Macro Language Processing- Macro variables and resolution
- Macro programs and automation
SQL Processing with SAS- Joining tables and subqueries
- PROC SQL queries
Data Access and Management- Combining and restructuring data sets
- Data step processing and control logic
- Reading and importing data from external sources
Data Transformation and Reporting- Generating reports using SAS procedures
- Formatting and informats

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