SASInstitute SAS Advanced Programming Exam for SAS 9 - A00-212

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.

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

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

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

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

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

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

Understand the use of macro functions.

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

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.
• Examine the generated SAS statements with MPRINT.
• Trace the flow of execution with MLOGIC.

Create data-driven programs using SAS Macro Language.

• Use indirect reference to macro variables.
• Generate repetitive macro calls using the %DO loop, macro variable, and the EXECUTE routine.
• 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.

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

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

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.
• Understand resources related to efficiency.
• 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 SQL procedure.
• Use the DATA step.
• Use the SORT procedure.

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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.

How much A00-212 : SAS Advanced Programming for SAS 9 Exam cost

A00-212 : SAS Advanced Programming for SAS 9 Exam cost is $180.

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

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