SASInstitute SAS Advanced Programming Exam for SAS 9 (A00-212日本語版) : A00-212日本語

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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.

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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

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.

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

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

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

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

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

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

Understand the use of macro functions.

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

• 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.

• Use indirect reference to macro variables.
• Generate repetitive macro calls using the %DO loop, macro variable, and the EXECUTE routine.
• Create macro variables with a list of values.

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

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

• Reduce length of numeric variables.
• Use SAS views.
• Use compression techniques, RLE (Run-Length Encoding) and RDC (Ross Data Compression).
• 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.
• Interpret the resulting resource utilization statistics for the Z/OS environment and for directory based OS.
• 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 SORT procedure.
• Use the DATA step.

SASInstitute A00-212日本語 Exam Syllabus Topics: