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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.

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

A00-212 : SAS Advanced Programming for SAS 9 Certified Professional salary

The average salary of a A00-212 : SAS Advanced Programming for SAS 9 Certified Expert in

• India - 8,42,327 INR
• Europe - 45,347 EURO
• England - 46,632 POUND
• United State - 70,247 USD

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

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.

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

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

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

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

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

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

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

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.

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

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

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

Understand the use of macro functions.

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

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

Create data-driven programs using SAS Macro Language.

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

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

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

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

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.

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