A00-212 : SAS Advanced Programming for SAS 9 Certified Professional salary

The average salary of a A00-212 : SAS Advanced Programming for SAS 9 Certified Expert in

• India - 8,42,327 INR
• Europe - 45,347 EURO
• England - 46,632 POUND
• United State - 70,247 USD

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.

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

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

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

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

Understand the use of macro functions.

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

• 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.
• Examine macro variable resolution with SYMBOLGEN.

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.

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

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

• Reduce length of numeric variables.
• Eliminate variables and observations.
• 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.
• 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 DATA step.
• Use the SORT procedure.
• Use the SQL procedure.

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