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SAS Institute A00-231 Exam Description

  • Passing Score: 725 (score range from 200 to 1,000 points).

  • Exam Format: Multiple choice and Short-answer questions

  • Language: English

  • Exam Length: 40-45 Questions

  • Exam Duration: 135 minutes to complete exam.

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What is the salary of an SAS Base Programming Specialist?

The Average salary of different countries of SAS Base Programming Specialist

  • UK - 9801 Pounds
  • United States - $13000 USD
  • India - 983845INR

Reference: https://www.sas.com/en_us/certification/credentials/foundation-tools/base-programming-specialist.html#exam-details

SASInstitute A00-231 Exam Syllabus Topics:

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

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