Oracle 1Z0-264 Exam Details & Actual Exam Questions

  • Exam Code/Number: 1Z0-264
  • Exam Name/Title: Hyperion Essbase Analytics 9.3 Developer
  • Certification Provider: Oracle
  • Corresponding Certification: Other Oracle Certification
  • Exam Questions: 51
  • Updated On: Sep,23 2026

Oracle Hyperion Essbase Analytics 9.3 Developer Exam Questions

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Oracle 1Z0-264 Exam Overview:

Certification Vendor:Oracle
Exam Name:Oracle Hyperion Essbase 9 Developer (Essbase Analytics 9.3 Developer)
Exam Number:1Z0-264
Related Certifications:Oracle Hyperion Essbase certifications
Exam Format:Multiple Choice
Available Languages:English
Recommended Training:Oracle Hyperion Essbase Training
Exam Registration:Oracle Certification Registration
Sample Questions:Oracle 1Z0-264 Sample Questions
Exam Way:Proctored exam (online or testing center depending on Oracle policies at the time of offering)
Pre Condition:No strict prerequisite; basic understanding of OLAP and databases recommended
Official Syllabus URL:https://education.oracle.com

Oracle 1Z0-264 Exam Syllabus Topics:

SectionObjectives
Essbase Fundamentals- Essbase architecture and components
  • 1. Cube structure and outline design
    • 2. Multidimensional database concepts
      Calculation and Business Rules- Business rule development
      • 1. Optimization techniques
        • 2. Rule Designer usage
          - Calculation scripts
          • 1. Aggregation and allocation methods
            • 2. Fix and calculation order
              Security and Administration- Application management
              • 1. Backup and recovery concepts
                • 2. Database maintenance
                  - User and role security
                  • 1. Filter definitions
                    • 2. Access permissions
                      Database Design and Development- Dimension and member design
                      • 1. Member properties and hierarchies
                        • 2. Dense and sparse dimensions
                          - Data loading and integration
                          • 1. Data validation techniques
                            • 2. Load rules and data sources


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