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

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

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.

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.

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

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

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

Construct sub-queries and in-line views within an SQL procedure step.

• Reference an in-line view with other views or tables (multiple tables).
• Subset data by using non-correlated subqueries (HAVING clause).
• Subset data by using correlated subqueries.

Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.

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

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.

• Use INTO clause of the SELECT statement in SQL.
• Use %GLOBAL statement.
• Use %LOCAL statement.
• Use the SYMPUT and SYMPUTX routine in the DATA Step.
• Define Macro variables.
• Use %INPUT 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.
• Pass information into a macro using parameters.
• Generate SAS Code conditionally by using the %IF-%THEN-%ELSE macro statements or iterative %DO statements.
• Define a macro.

Understand the use of macro functions.

• Insert comments into macros.
• Use the %MACRO statement.
• Pass information into a macro using parameters.
• Generate SAS Code conditionally by using the %IF-%THEN-%ELSE macro statements or iterative %DO statements.
• 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.
• Examine the generated SAS statements with MPRINT.
• Use system options to track problems.
• 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.
• Create custom formats with the PICTURE statement.
• Manage custom formats with FMTSEARCH= system option.
• Use formats to create data via lookups.
• Combine multiple data sets using FILEVAR= option.
• Combine data using multiple set statements with KEY= option.
• Use hash objects as lookup tables.
• Process data with multi-dimensional arrays.
• Compare DATA step match-merge and PROC SQL joins.

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

• Use SAS views.
• Eliminate variables and observations.
• Reduce length of numeric variables.
• 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.

• 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: