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SASInstitute A00-211 certification exam is ideal for individuals who work with data on a daily basis, such as data analysts, statisticians, and programmers. It is a globally recognized certification that can help professionals advance their careers and increase their earning potential. By passing A00-211 exam, candidates will be able to demonstrate their proficiency in SAS programming and gain a competitive edge in the job market.

The SASInstitute A00-211 exam has a duration of two hours and consists of 50 multiple-choice questions. The questions cover various topics including data manipulation, creating and managing data sets, programming basics, and data reporting. The SASInstitute A00-211 certification exam is recognized globally and is an important credential for professionals seeking to pursue a career in data management, analysis, or programming.

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

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SASInstitute A00-211 Exam Syllabus Topics:

SectionObjectives
Topic 1: Apply SAS Programming Fundamentals- Core SAS Concepts
  • 1. Functions and Expressions
  • 2. Automatic Variables and Iterative Processing
  • 3. DATA Step Processing
  • 4. PROC Step Fundamentals
Topic 2: Manage Data Sets- Data Set Operations
  • 1. Merge and Concatenate Data Sets
  • 2. Manage Data Libraries
  • 3. Sort Data
  • 4. Subset and Filter Observations
Topic 3: Generate Reports and Output- Reporting Procedures
  • 1. Use PROC PRINT
  • 2. Use PROC FREQ
  • 3. Use PROC MEANS and PROC SUMMARY
  • 4. Produce Detail and Summary Reports
Topic 4: Manipulate and Transform Data- Data Processing Techniques
  • 1. Create and Modify Variables
  • 2. Handle Missing Values
  • 3. Conditional Processing
  • 4. Format and Label Data
Topic 5: Read and Create Data Files- Access SAS and External Data
  • 1. Read Raw Data Files
  • 2. Create Permanent and Temporary SAS Data Sets
  • 3. Import Delimited Files
  • 4. Combine Data Sources
Topic 6: Debug and Validate Programs- Program Validation
  • 1. Identify Syntax and Logic Errors
  • 2. Interpret SAS Log Messages
  • 3. Validate Results
  • 4. Troubleshoot DATA Step Processing

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