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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.

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

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.

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

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

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

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

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

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

• Pass information into a macro using parameters.
• Insert comments into macros.
• Define a macro.
• 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.

• Pass information into a macro using parameters.
• Insert comments into macros.
• Define a macro.
• 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 the %PUT statement to track problems.
• Use system options to track problems.
• Examine macro variable resolution with SYMBOLGEN.
• Trace the flow of execution with MLOGIC.
• Examine the generated SAS statements with MPRINT.

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

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

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

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