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.