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

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.

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

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 correlated subqueries.
  • Subset data by using non-correlated subqueries (HAVING clause).
  • 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.
  • Alter columns attributes.
  • Use SAS data set options with PROC SQL.
  • Delete a table.
  • Use PROC SQL with the SAS Macro Facility.
  • Insert rows into tables.
  • Create an index.
  • Create SAS Data sets (tables).
  • Update data values in a table.

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

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

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

Understand the use of macro functions.

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

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

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

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

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

  • 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 SORT procedure.
  • Use the DATA step.

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

SASInstitute A00-212日本語 Exam Syllabus Topics:

SectionWeightObjectives
Macro Processing35%- Debug macros and macro logic
- Build data-driven programs with macros
- Define and invoke macros
- Utilize macro functions
- Create and use macro variables
Advanced Programming Techniques30%- Optimize program performance and efficiency
- Use hash objects for data lookup
- Apply advanced functions and utility procedures
- Process data with arrays
- Manage data compression and indexing
Accessing Data Using SQL35%- Generate detail and summary reports using PROC SQL
- Join tables and use set operators
- Construct subqueries and in-line views
- Use PROC SQL enhancements and indexes
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