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A00-212 : SAS Advanced Programming for SAS 9 Certification Path

The A00-212 : SAS Advanced Programming for SAS 9 Certification is one of the highest level of certification mainly focussing to the Advanced Programming concepts.

if you pass your exam and meet all requirements for a credential, you will receive an e-mail from SAS within 72 business hours with instructions providing access to your certificate and logo through the SAS Certification Manager. You will also receive an email from Acclaim with access to your digital badge. For questions regarding access to either of these, please visit SAS Website.

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1. Accessing Data Using SQL

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

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

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 non-correlated subqueries (HAVING clause).
• Subset data by using correlated subqueries.
• 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.

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

Access Dictionary Tables using the SQL procedure.

• Use the DESCRIBE TABLE statement.
• Access SAS system information by using DICTIONARY tables.

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

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

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

Understand the use of macro functions.

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

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

Create data-driven programs using SAS Macro Language.

• Create macro variables with a list of values.
• Use indirect reference to macro variables.
• 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.

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

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

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

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

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