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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.

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

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Topics of A00-212 : SAS Advanced Programming for SAS 9 Exam

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

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

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

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

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

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

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

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

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

• Use the %MACRO statement.
• Define a macro.
• 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.

Understand the use of macro functions.

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

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

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

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

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

Use the FCMP procedure to create a user-defined function.

• Define a SAS function

Perform effective benchmarking.

• Interpret the resulting resource utilization statistics for the Z/OS environment and for directory based OS.
• Use SAS System options to track resources.
• Understand resources related to efficiency.

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

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