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  • Error Handling: 15-20%

  • Access and Create Data Structures: 20-25%

  • Manage Data: 35-40%

  • Generate Reports and Output: 15-20%

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SASInstitute A00-231日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Access and Create Data Structures20-25%- Investigate SAS data libraries using base SAS utility procedures
  • 1. Use the CONTENTS procedure to examine SAS data sets
  • 2. Use the PRINT procedure to examine data
- Access data
  • 1. Access data through PROC SQL
  • 2. Access data via ODBC or SAS/ACCESS
- Create temporary and permanent SAS data sets
  • 1. Control which observations and variables in a SAS data set are processed and output
  • 2. Create and manipulate SAS date values
  • 3. Understand and use DATA step processing
Topic 2: SAS Data Management and Navigation15-20%- Manage SAS data sets
  • 1. Sort observations in a SAS data set using the SORT procedure
  • 2. Format variable values using PROC FORMAT
- Navigate the SAS environment
  • 1. Navigate SAS libraries
  • 2. Use SAS windows and menus
Topic 3: Error Handling and Debugging10-15%- Detect and correct syntax errors
  • 1. Use PUTLOG for debugging
  • 2. Identify and resolve common programming errors
- Identify and correct logic errors
  • 1. Analyze log messages to correct program logic
Topic 4: Generate Reports and Output15-20%- Enhance reports
  • 1. Export data to various formats (CSV, Excel)
  • 2. Use ODS destinations for output
- Generate list reports using the PRINT procedure
  • 1. Customize report appearance using options (e.g., LABEL, FORMAT)
- Generate summary reports and frequency tables
  • 1. Create frequency tables using PROC FREQ
  • 2. Create summary statistics using PROC MEANS/SUMMARY
Topic 5: Manage Data25-30%- Input data
  • 1. Read raw data using column and formatted input
  • 2. Read raw data using list input
  • 3. Control the processing of raw data files
- Summarize data
  • 1. Use SAS procedures to summarize data (e.g., PROC MEANS, PROC FREQ)
- Combine data sets
  • 1. Concatenate data sets
  • 2. Merge data sets conditionally using IN= data set option
  • 3. Merge data sets one-to-one and one-to-many

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