SASInstitute SAS Institute Systems Certification A00-212

How to Prepare For A00-212 : SAS Advanced Programming for SAS 9 Exam

Preparation Guide for A00-212 : SAS Advanced Programming for SAS 9 Exam

Introduction

SAS (previously “Statistical Analysis System”) may be a package suite designed by SAS Institute for advanced analytics, variable analyses, business intelligence, knowledge management, and prognosticative analytics.

A00-212 : SAS Advanced Programming for SAS 9 exam is administered by SAS and Pearson VUE has created a track for IT professionals to certify as a IT Programer on SAS.This certification program provides SAS professionals a way to demonstrate their skills. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets SAS's proficiency standards.

SAS® Certified Advanced Programmer for SAS®9, candidates who earn this credential must have either SAS Certified Base Programmer for SAS®9 or the SAS Certified Specialist: Base Programming Using SAS 9 accreditation and then take and pass the SAS Advanced Programming for SAS®9 exam.

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The SAS international Certification Program currently issues versioned accreditation that don't lapse. The version is indicated in the credential name - for example, SAS Certified Base Programmer for SAS 9. Earlier, SAS issued non-versioned credentials and required rE Certification every 3 years, however, with the addition of versioning to the credential names, rE Certification requirements were dropped.

For more info visit:

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

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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.

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

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.

• 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.

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

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

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

• Define a macro.
• Pass information into a macro using parameters.
• Insert comments into macros.
• 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.
• Pass information into a macro using parameters.
• Insert comments into macros.
• 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 system options to track problems.
• Examine macro variable resolution with SYMBOLGEN.
• Examine the generated SAS statements with MPRINT.
• Use the %PUT statement to track problems.

Create data-driven programs using SAS Macro Language.

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

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

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

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

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