SASInstitute SAS Advanced Programming Exam for SAS 9 : A00-212 Exam Questions

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SAS Macro Language 1: Essentials SAS Programming 3: Advanced Techniques and Efficiencies SAS SQL1: Essentials

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

• Format: Multiple choices, multiple answers
• Passing score: 65%
• Number of Questions: 65-70 multiple-choice and short-answer questions.(Must achieve score of 65 percent correct to pass).
• Length of Examination: 120 minutes
• 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

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.
• Select columns in a table.
• Retrieve rows that satisfy a condition.
• Sort data.
• Combine tables using set operators - union, outer join, except, intersect.
• Use the SELECT statement.
• 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.

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

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

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 %GLOBAL 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.

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

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

Understand the use of macro functions.

• Use the %MACRO statement.
• Pass information into a macro using parameters.
• Insert comments into macros.
• Define a macro.
• 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 macro variable resolution with SYMBOLGEN.
• Examine the generated SAS statements with MPRINT.
• Use the %PUT statement to track problems.
• Trace the flow of execution with MLOGIC.
• 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.

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

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.

• Understand resources related to efficiency.
• Interpret the resulting resource utilization statistics for the Z/OS environment and for directory based OS.
• 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.

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

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