SASInstitute A00-204 Exam Information and Actual Questions

  • Exam Code/Number: A00-204
  • Exam Name/Title: SAS warehouse architect concepts
  • Certification Provider: SASInstitute
  • Corresponding Certification: SAS Institute Systems Certification
  • Exam Questions: 65
  • Updated On: Aug 16, 2026

A00-204
FREE EXAM DUMPS QUESTIONS & ANSWERS

SASInstitute
A00-204 Exam
SAS warehouse architect concepts

Get A00-204 Premium File

SASInstitute A00-204 Exam Overview:

Certification Vendor:SASInstitute
Exam Name:SAS Warehouse Architect Concepts
Exam Number:A00-204
Related Certifications:SAS Certified Warehouse Development Specialist
SAS Certified Data Integration Developer
Passing Score:70%
Available Languages:English
Real Exam Qty:65
Exam Duration:90 minutes
Exam Price:$180 USD
Certificate Validity Period:No expiration (versioned credential)
Exam Format:Multiple Choice, Multiple Response
Recommended Training:SAS 9.4 Data Warehousing Concepts
SAS Warehouse Architecture Principles
Exam Registration:SAS Certification Manager
Pearson VUE Registration
Sample Questions:SASInstitute A00-204 Sample Questions
Exam Way:In-person at Pearson VUE test centers / Online proctored
Pre Condition:Recommended: A00-203 SAS Warehouse Development Specialist Concepts or equivalent experience
Official Syllabus URL:https://www.sas.com/en_us/certification.html

SASInstitute A00-204 Exam Syllabus Topics:

SectionWeightObjectives
ETL & Data Integration Design25%- ETL/ELT architecture patterns
- Change management and impact analysis
- Data quality and governance
- SAS Data Integration Studio concepts
Data Warehouse Concepts & Architecture20%- Data warehouse lifecycle
- Logical vs physical data modeling
- Enterprise data warehouse architecture
- Dimensional modeling principles
SAS Platform & Metadata Architecture25%- Security and access control
- Scalability and high availability
- SAS Metadata Server architecture
- SAS 9.4 platform components
Performance & Infrastructure Planning15%- Optimization best practices
- Backup, recovery and archiving
- Workload and capacity planning
- Hardware and storage requirements
Data Mart & OLAP Design15%- OLAP and multidimensional concepts
- SAS OLAP Server architecture
- Aggregation and indexing strategies


0
0
0
10