SASInstitute A00-203 Exam Information and Actual Questions

  • Exam Code/Number: A00-203
  • Exam Name/Title: SAS warehouse Development specialist concepts exam
  • Certification Provider: SASInstitute
  • Corresponding Certification: SAS Institute Systems Certification
  • Exam Questions: 65
  • Updated On: Aug 16, 2026

A00-203
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SASInstitute
A00-203 Exam
SAS warehouse Development specialist concepts exam

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SASInstitute A00-203 Exam Overview:

Certification Vendor:SAS Institute
Exam Name:SAS Warehouse Development Specialist Concepts
Exam Number:A00-203
Related Certifications:SAS Certified Data Integration Developer
SAS Certified Data Warehouse Architect
Exam Duration:90 minutes
Exam Price:$180 USD
Real Exam Qty:65-70
Passing Score:70%
Exam Format:Multiple Choice, Short Answer
Available Languages:English
Certificate Validity Period:No expiration (legacy/retired credential)
Recommended Training:Data Integration and ETL with SAS
Warehouse Architecture and Design Principles
Exam Registration:SAS Certification Program
Pearson VUE
Sample Questions:SASInstitute A00-203 Sample Questions
Exam Way:Administered via Pearson VUE test centers; this exam is retired and no longer available for new registration
Pre Condition:No formal prerequisites; recommended knowledge of SAS programming and data warehousing principles
Official Syllabus URL:https://support.sas.com/edu/schedules.html

SASInstitute A00-203 Exam Syllabus Topics:

SectionWeightObjectives
Warehouse Management & Maintenance20%- Backup, recovery, and archiving
- Data quality and consistency
- Security and access control
- Monitoring and administration
SAS Warehouse Implementation25%- SAS Data Integration Studio usage
- SAS views and indexes
- Performance optimization
- SAS data libraries and physical storage
Data Warehouse Concepts & Architecture25%- Warehouse architecture and layers
- Fundamentals of data warehousing
- Normalized vs denormalized models
- Dimensional modeling (star/snowflake schema)
ETL Processes & Data Integration30%- Metadata management
- Data extraction methods
- Data cleansing, validation, and transformation
- Slowly Changing Dimensions (SCD)
- Extract, Transform, Load (ETL) concepts


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