Hitachi HCE-5920 Exam Details & Actual Exam Questions
- Exam Code/Number: HCE-5920
- Exam Name/Title: Hitachi Vantara Certified Specialist - Pentaho Data Integration Implementation
- Certification Provider: Hitachi
- Corresponding Certification: Hitachi Vantara Certified Specialist
- Exam Questions: 61
- Updated On: Jul,23 2026
- Certification Level: Specialist
Hitachi Vantara Certified Specialist - Pentaho Data Integration Implementation Exam Questions
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(24 Up Votes)Hitachi HCE-5920 Exam Overview:
| Certification Vendor: | Hitachi Vantara |
| Exam Name: | Pentaho Data Integration Implementation |
| Exam Number: | HCE-5920 |
| Exam Format: | Multiple Choice, Proctored Closed Book |
| Exam Duration: | 90 (120 for non-English) |
| Passing Score: | 63% |
| Available Languages: | English |
| Exam Price: | USD 225 |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | 3 years |
| Recommended Training: | Lumada Learning Portal Certified Specialist – Pentaho Data Integration Learning Path |
| Exam Registration: | Hitachi Vantara Certification Portal Kryterion Webassessor Registration |
| Sample Questions: | Hitachi HCE-5920 Sample Questions |
| Exam Way: | Online proctored via Kryterion Webassessor; onsite testing centers available |
| Pre Condition: | No mandatory prerequisites; recommended experience with Pentaho Data Integration and ETL development |
| Official Syllabus URL: | https://www.hitachivantara.com/en-us/pdf/training/pentaho-data-integration-implementation-hce-5920-exam.pdf |
Hitachi HCE-5920 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Installation and Configuration | 15% | - Pentaho Server installation and configuration - Repository management |
| Topic 2: Error Handling and Logging | 10% | - Error handling concepts in PDI - Logging configuration and usage |
| Topic 3: Big Data Integration | 15% | - Configuring PDI for Hadoop integration - Working with Hadoop and big data - Building big data jobs and transformations |
| Topic 4: Database Connectivity | 15% | - Managing data connections in PDI |
| Topic 5: Performance Tuning | 10% | - Optimizing performance - Monitoring job/transformation performance |
| Topic 6: Solution Design & Architecture | 15% | - Metadata injection usage - PDI client and server components - Data flow in jobs and transformations - Execution methods for jobs and transformations |
| Topic 7: PDI Development | 20% | - Creating PDI transformations - Creating PDI jobs - Using streaming steps - Using property files |
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