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For more info visit:
SAS Macro Language 1: Essentials SAS Programming 3: Advanced Techniques and Efficiencies SAS SQL1: Essentials
Reference: https://www.sas.com/en_us/certification/credentials/foundation-tools/advanced-programmer.html
What is the duration, language, and format of A00-212 : SAS Advanced Programming for SAS 9 Exam
- Number of Questions: 65-70 multiple-choice and short-answer questions.(Must achieve score of 65 percent correct to pass).
- 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
- Format: Multiple choices, multiple answers
- Length of Examination: 120 minutes
- Passing score: 65%
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.
- Use the SELECT statement.
- Combine tables using set operators - union, outer join, except, intersect.
- Sort data.
- Retrieve rows that satisfy a condition.
- Join tables - inner joins, full joins, right joins, left joins.
- Validate a query.
- Create new columns.
- 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.
- 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.
- Use PROC SQL with the SAS Macro Facility.
- Delete rows.
- Insert rows into tables.
- Alter columns attributes.
- Create SAS Data sets (tables).
- Create an index.
- Use SAS data set options with PROC SQL.
- Delete a table.
- Update data values in 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 %GLOBAL statement.
- Use INTO clause of the SELECT statement in SQL.
- Use the SYMGET function to return the value of a macro variable to the DATA step during DATA step execution.
- Use the SYMPUT and SYMPUTX routine in the DATA Step.
- Use %LOCAL statement.
- Define Macro variables.
- Use %INPUT statement.
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.
- Define a macro.
- Pass information into a macro using parameters.
- Insert comments into macros.
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.
- Define a macro.
- Pass information into a macro using parameters.
- Insert comments into macros.
Use various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log.
- Trace the flow of execution with MLOGIC.
- Use system options to track problems.
- Use the %PUT statement to track problems.
- Examine macro variable resolution with SYMBOLGEN.
- Examine the generated SAS statements with MPRINT.
Create data-driven programs using SAS Macro Language.
- Generate repetitive macro calls using the %DO loop, macro variable, and the EXECUTE routine.
- Use indirect reference to macro variables.
- 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.
- Compare DATA step match-merge and PROC SQL joins.
- Combine data using multiple set statements with KEY= option.
- Manage custom formats with FMTSEARCH= system option.
- Use hash objects as lookup tables.
- Process data with multi-dimensional arrays.
- Create custom formats with the PICTURE statement.
- Use formats to create data via lookups.
- Combine multiple data sets using FILEVAR= option.
- Combine data conditionally using multiple set statements.
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.
- Understand resources related to efficiency.
- Use SAS System options to track resources.
- 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 DATA step.
- Use the SQL procedure.
- Use the SORT procedure.
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