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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.
• Create new columns.
• Join tables - inner joins, full joins, right joins, left joins.
• Retrieve rows that satisfy a condition.
• Validate a query.
• Use the SELECT statement.
• 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.

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

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

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 %INPUT statement.
• Use INTO clause of the SELECT statement in SQL.
• 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 %GLOBAL statement.
• Define Macro variables.

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.
• Use the %MACRO statement.
• Pass information into a macro using parameters.
• 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.
• Use the %MACRO statement.
• Pass information into a macro using parameters.
• 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.

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

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.

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

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.
• Use SAS views.
• 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.

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

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

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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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