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

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.

In this guide, we will cover the A00-212 : SAS Advanced Programming for SAS 9 Exam, A00-212 : SAS Advanced Programming for SAS 9 Certified professionals salary and all aspects of the A00-212 : SAS Advanced Programming for SAS 9 Certification.

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.

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

The benefit of obtaining the A00-212 : SAS Advanced Programming for SAS 9 Exam Certification

Getting a professional certification in the SAS domain is indeed a wise decision as there are immense benefits of this credential.

• You'll simply connect with the worldwide network of SAS consultants and users to exchange knowledge and concepts.
• A00-212 : SAS Advanced Programming for SAS 9 Exam provide proven knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
• A00-212 : SAS Advanced Programming improves reasoning power and promotes analytical thinking and research ability of appearing professional.
• As there's a worldwide requirement for SAS experts, you've got the selection to use for employment in many alternative locations round the world.
• A00-212 : SAS Advanced Programming for SAS 9 Certification is distinguished among competitors. A00-212 : SAS Advanced Programming for SAS 9 certification can give them an edge at that time easily when candidates appear for employment interview, employers are very fascinated to note one thing that differentiates the individual from all other candidates.
• A00-212 : SAS Advanced Programming for SAS 9 certified professionals will be confident and stand different from others as their skills are more trained than non-certified professionals.
• Learning SAS won't cause you to abandon the previous data formats acknowledged by you like Oracle and DB2.
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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.
• Sort data.
• Join tables - inner joins, full joins, right joins, left joins.
• Create new columns.
• Use the SELECT statement.
• Retrieve rows that satisfy a condition.
• Select columns in a table.
• Validate a query.

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

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

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

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 %LOCAL statement.
• Use %GLOBAL statement.
• Define Macro variables.
• Use the SYMPUT and SYMPUTX routine in the DATA Step.
• 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 %INPUT statement.

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

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

Understand the use of macro functions.

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

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

• Use the %PUT statement to track problems.
• Examine the generated SAS statements with MPRINT.
• 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.

• 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.
• Manage custom formats with FMTSEARCH= system option.
• Use formats to create data via lookups.
• Process data with multi-dimensional arrays.
• Combine data using multiple set statements with KEY= option.
• Create custom formats with the PICTURE statement.
• Combine multiple data sets using FILEVAR= option.
• Use hash objects as lookup tables.
• 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.
• Interpret the resulting resource utilization statistics for the Z/OS environment and for directory based OS.
• Use SAS System options to track resources.

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 SQL procedure.
• Use the SORT procedure.

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