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The benefit of obtaining the A00-212 : SAS Advanced Programming for SAS 9 Exam Certification

Getting a professional certification in the SAS domain is indeed a wise decision as there are immense benefits of this credential.

  • A00-212 : SAS Advanced Programming improves reasoning power and promotes analytical thinking and research ability of appearing professional.
  • Learning SAS won't cause you to abandon the previous data formats acknowledged by you like Oracle and DB2.
  • As there's a worldwide requirement for SAS experts, you've got the selection to use for employment in many alternative locations round the world.
  • You'll simply connect with the worldwide network of SAS consultants and users to exchange knowledge and concepts.
  • A00-212 : SAS Advanced Programming for SAS 9 certification has more useful and relevant networks that help them in setting career goals for themselves. A00-212 : SAS Advanced Programming for SAS 9 networks provide them with the correct career guidance than non certified generally are unable to get.
  • Freshers will get spectacular pay package and dealing professionals will get guaranteed profession advancement through the SAS accreditation courses.
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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

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.

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

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

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 INTO clause of the SELECT statement in SQL.
  • 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 %INPUT statement.
  • Use the SYMPUT and SYMPUTX routine in the DATA Step.
  • Use %GLOBAL statement.

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

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

Understand the use of macro functions.

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

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

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 multiple data sets using FILEVAR= option.
  • Use formats to create data via lookups.
  • Use hash objects as lookup tables.
  • Manage custom formats with FMTSEARCH= system option.
  • Process data with multi-dimensional arrays.
  • Compare DATA step match-merge and PROC SQL joins.
  • Create custom formats with the PICTURE statement.
  • Combine data conditionally using multiple set statements.
  • 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 SAS views.
  • Use compression techniques, RLE (Run-Length Encoding) and RDC (Ross Data Compression).
  • 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.
  • Use SAS System options to track resources.
  • Understand resources related to efficiency.

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.

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