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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

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

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.

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

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.

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

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

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

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

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

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

Understand the use of macro functions.

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

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

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

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

• Use SAS views.
• Use compression techniques, RLE (Run-Length Encoding) and RDC (Ross Data Compression).
• Eliminate variables and observations.
• 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.

• Identify appropriate applications for using indexes.
• Create and delete indexes using the DATA step, the DATASETS procedure, or the SQL procedure.

Compare techniques to eliminate duplicate data.

• Use the SQL procedure.
• Use the DATA step.
• Use the SORT procedure.

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Reference: https://www.sas.com/en_us/certification/credentials/foundation-tools/advanced-programmer.html

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What is the duration, language, and format of A00-212 : SAS Advanced Programming for SAS 9 Exam

• Length of Examination: 120 minutes
• Number of Questions: 65-70 multiple-choice and short-answer questions.(Must achieve score of 65 percent correct to pass).
• Format: Multiple choices, multiple answers
• Passing score: 65%
• Language: Czech, simplified Chinese, traditional Chinese, Dutch, English (UK), English (US), French, German, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Portuguese (Brazil), Russian, Slovak, Spanish, Spanish (Latin America), Thai, Turkish, and Vietnamese

SASInstitute A00-212日本語 Exam Syllabus Topics: