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.

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.

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

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.

• Reference an in-line view with other views or tables (multiple tables).
• Subset data by using correlated subqueries.
• 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).
• Delete a table.
• Insert rows into tables.
• Use SAS data set options with PROC SQL.
• Create an index.
• Update data values in a table.
• Use PROC SQL with the SAS Macro Facility.
• Alter columns attributes.
• Delete rows.

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

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

• Define a macro.
• Pass information into a macro using parameters.
• Insert comments into macros.
• Use the %MACRO statement.
• 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.
• Pass information into a macro using parameters.
• Insert comments into macros.
• Use the %MACRO statement.
• 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.

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

Create data-driven programs using SAS Macro Language.

• Generate repetitive macro calls using the %DO loop, macro variable, and the EXECUTE routine.
• Create macro variables with a list of values.
• 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 formats to create data via lookups.
• Combine data using multiple set statements with KEY= option.
• Process data with multi-dimensional arrays.
• Create custom formats with the PICTURE statement.
• Compare DATA step match-merge and PROC SQL joins.
• Use hash objects as lookup tables.
• Combine multiple data sets using FILEVAR= option.
• Combine data conditionally using multiple set statements.
• Manage custom formats with FMTSEARCH= system 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.

• Use SAS System options to track resources.
• Understand resources related to efficiency.
• 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 DATA step.
• Use the SORT procedure.

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

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