SASInstitute A00-501 Exam Overview:
| Certification Vendor: | SASInstitute |
|---|---|
| Exam Name: | Customer Intelligence 360 Solution Consultant |
| Exam Number: | A00-501 |
| Available Languages: | English |
| Exam Duration: | 110 minutes |
| Passing Score: | 68% |
| Exam Price: | $180 USD |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60-70 |
| Exam Format: | Multiple Choice, Short Answer |
| Related Certifications: | SAS Certified Specialist: Marketing Automation SAS Certified Specialist: Customer Analytics |
| Recommended Training: | SAS Customer Intelligence 360: Administration and Configuration SAS Customer Intelligence 360: User and Campaign Management |
| Exam Registration: | Pearson VUE Registration SAS Certification Portal |
| Exam Way: | Online proctored or onsite at Pearson VUE authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended 6+ months hands-on experience with SAS Customer Intelligence 360 or completion of related SAS training courses |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/credentials/customer-intelligence/customer-intelligence-360-solution-consultant.html |
SASInstitute A00-501 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Engagement and Orchestration | 20% | - Testing and activation - Personalization and content management - Designing campaigns and journeys - Creating segments and audiences |
| Topic 2: Platform Overview and Architecture | 20% | - CI360 system components - Cloud architecture and deployment models - Integration framework and APIs |
| Topic 3: Configuration and Implementation | 25% | - Tenant and workspace setup - Event collection and tracking - User access and permissions - Channels and asset configuration |
| Topic 4: Reporting, Monitoring and Troubleshooting | 10% | - Performance metrics and analytics - Common issues and resolution - System monitoring and logs |
| Topic 5: Data Management and Identity | 25% | - Unified Data Model (UDM) and CDM - Identity resolution and stitching - Data ingestion and sources - Data governance and security |
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