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

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.

Who should take the A00-212 : SAS Advanced Programming for SAS 9 Exam

Individuals should pursue the A00-212 : SAS Advanced Programming for SAS 9 Exam if they want to demonstrate their expertise and ability to access and manage data to perform queries and analyses from A00-212 : SAS Advanced Programming for SAS 9 Certification

• Data managers
• Or anyone writing & interested in SAS programs
• Analysts
• Programmers

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

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

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

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

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.
• Pass information into a macro using parameters.
• Insert comments into macros.
• Define a macro.

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.
• Pass information into a macro using parameters.
• Insert comments into macros.
• 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.

• Examine the generated SAS statements with MPRINT.
• Use the %PUT statement to track problems.
• 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.

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

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

• Eliminate variables and observations.
• Reduce length of numeric variables.
• Use SAS views.
• 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.
• Understand resources related to efficiency.
• Interpret the resulting resource utilization statistics for the Z/OS environment and for directory based OS.

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.

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